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Kong W, Collins JJ, Lu T. Addendum: Designing microbial consortia with defined social interactions. Nat Chem Biol 2024:10.1038/s41589-024-01560-1. [PMID: 38649453 DOI: 10.1038/s41589-024-01560-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/25/2024]
Affiliation(s)
- Wentao Kong
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - James J Collins
- Institute for Medical Engineering and Science, Department of Biological Engineering, and Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.
| | - Ting Lu
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
- Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
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Wang X, Zheng R, Liang W, Qiu H, Yuan T, Wang W, Deng H, Kong W, Chen J, Bai Y, Li Y, Chen Y, Wu Q, Wu S, Huang X, Shi Z, Fu Q, Zhang Y, Yang Q. Small extracellular vesicles facilitate epithelial-mesenchymal transition in chronic rhinosinusitis with nasal polyps via the miR-375-3p/QKI axis. Rhinology 2024; 0:3172. [PMID: 38557580 DOI: 10.4193/rhin23.520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
BACKGROUND Epithelial-mesenchymal transition (EMT) plays a crucial role in the pathogenesis of chronic rhinosinusitis with nasal polyps (CRSwNP). However, the involvement of small extracellular vesicles (sEVs) in EMT and their contributions to CRSwNP has not been extensively investigated. METHODS SEVs were isolated from nasal mucosa through ultracentrifugation. MicroRNA sequencing and reverse-transcription quantitative polymerase chain reaction were employed to analyze the differential expression of microRNAs carried by sEVs. Human nasal epithelial cells (hNECs) were used to assess the EMT-inducing effect of sEVs/microRNAs. EMT-associated markers were detected by western blotting and immunofluorescence. Dual-luciferase reporter assay was performed to determine the target gene of miR-375-3p. MicroRNA mimic, lentiviral, and plasmid transduction were used for functional experiments. RESULTS In line with the greater EMT status in eosinophilic CRSwNP (ENP), sEVs derived from ENP (ENP-sEVs) could induce EMT in hNECs. MiR-375-3p was elevated in ENP-sEVs compared to that in control and nonENP. MiR-375- 3p carried by ENP-sEVs facilitated EMT by directly targeting KH domain containing RNA binding (QKI) at seed sequences of 913-919, 1025-1033, and 2438-2444 in 3'-untranslated region. Inhibition of QKI by miR-375-3p overexpression promoted EMT, which could be reversed by restoration of QKI. Furthermore, the abundance of miR-375-3p in sEVs was closely correlated with the clinical symptom score and disease severity. CONCLUSIONS MiR-375-3p-enriched sEVs facilitated EMT by suppressing QKI in hNECs. The association of miR-375-3p with disease severity underscores its potential as both a diagnostic marker and a therapeutic target for the innovative management of CRSwNP.
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Affiliation(s)
- X Wang
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - R Zheng
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - W Liang
- Department of Biotherapy Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- Cell-gene Therapy Translational Medicine Research Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - H Qiu
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - T Yuan
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - W Wang
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - H Deng
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - W Kong
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - J Chen
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Y Bai
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Y Li
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Y Chen
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Q Wu
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - S Wu
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - X Huang
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Z Shi
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Q Fu
- Otorhinolaryngology Hospital, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, China
| | - Y Zhang
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Q Yang
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
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Wilson BE, Booth CM, Patel S, Berry S, Kong W, Merchant SJ. First-line Palliative Chemotherapy for Colorectal Cancer: a Population-based Analysis of Delivery and Outcomes in a Single-payer Health System. Clin Oncol (R Coll Radiol) 2024; 36:211-220. [PMID: 38199907 DOI: 10.1016/j.clon.2023.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 12/07/2023] [Indexed: 01/12/2024]
Abstract
AIMS Clinical practice guidelines recommend palliative chemotherapy for most patients with metastatic colorectal cancer. However, outcomes observed in the real world compared with patients enrolled in clinical trials have not been sufficiently described. The objective of this study was to evaluate the delivery and outcomes of first-line palliative chemotherapy administered to patients with colorectal cancer in routine clinical practice compared with clinical trials. MATERIALS AND METHODS Using linked health administrative data, we carried out a retrospective population-level cohort study on patients diagnosed with colorectal cancer in Ontario, Canada from 2010 to 2019. Patient, disease and treatment characteristics were summarised. The primary outcome was median overall survival, stratified by treatment prescribed and age. Demographics and outcomes in this real-world population were compared with those from pivotal clinical trials. A multivariable Cox regression model reporting hazard ratios and 95% confidence intervals was used to determine factors associated with survival in patients receiving systemic treatment. RESULTS We identified 70 987 patients with a new diagnosis of colorectal cancer, of which 4613 received first-line chemotherapy for unresectable locally advanced or metastatic disease and formed the study cohort. Fifty-eight per cent were male and the mean age was 63 years. Most had colon cancer (69%), at least one comorbidity (73%) and lived in an urban location (79%). Less than half (47%) had surgery after diagnosis. The most common regimen prescribed was folinic acid, 5-fluorouracil and irinotecan (FOLFIRI) with bevacizumab or epidermal growth factor receptor inhibitors (EGFRi; n = 2784, 60%). Among all treated patients, the median overall survival was 17.1 months, with survival difference by regimen [median overall survival 18.3 for FOLFIRI with bevacizumab or EGFRi, 19.6 for folinic acid, 5-fluorouracil and oxaliplatin (FOLFOX)/capecitabine, oxaliplatin (XELOX) with bevacizumab or EGFRi, 13.6 for FOLFIRI alone and 7.8 for 5-fluorouracil or capecitabine]. Patients aged >80 years were most likely to have received single-agent 5-fluorouracil or capecitabine, and had inferior overall survival compared with their younger counterparts. Compared with pivotal clinical trials, patients in the real world had inferior overall survival outcomes despite similar demographic characteristics (including age and sex). CONCLUSIONS In this real-world population-based analysis of patients receiving first-line chemotherapy for unresectable locally advanced or metastatic colorectal cancer, survival outcomes were inferior to those reported in randomised trials despite similarities in age and sex. This information can be used when counselling patients in routine practice about expected outcomes.
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Affiliation(s)
- B E Wilson
- Department of Oncology, Queen's University, Kingston, Ontario, Canada; Division of Cancer Care and Epidemiology, Queen's Cancer Research Institute, Kingston, Ontario, Canada; School of Population Health, Faculty of Medicine and Health, University of New South Wales, Sydney, Australia
| | - C M Booth
- Department of Oncology, Queen's University, Kingston, Ontario, Canada; Division of Cancer Care and Epidemiology, Queen's Cancer Research Institute, Kingston, Ontario, Canada
| | - S Patel
- Division of Cancer Care and Epidemiology, Queen's Cancer Research Institute, Kingston, Ontario, Canada; Department of Surgery, Queen's University, Kingston, Ontario, Canada
| | - S Berry
- Department of Oncology, Queen's University, Kingston, Ontario, Canada
| | - W Kong
- Division of Cancer Care and Epidemiology, Queen's Cancer Research Institute, Kingston, Ontario, Canada
| | - S J Merchant
- Division of Cancer Care and Epidemiology, Queen's Cancer Research Institute, Kingston, Ontario, Canada; Department of Surgery, Queen's University, Kingston, Ontario, Canada.
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Liu H, Zou L, Xu N, Shen H, Zhang Y, Wan P, Wen B, Zhang X, He Y, Gui L, Kong W. Deep learning radiomics based prediction of axillary lymph node metastasis in breast cancer. NPJ Breast Cancer 2024; 10:22. [PMID: 38472210 PMCID: PMC10933422 DOI: 10.1038/s41523-024-00628-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Accepted: 02/28/2024] [Indexed: 03/14/2024] Open
Abstract
This study aimed to develop and validate a deep learning radiomics nomogram (DLRN) for the preoperative evaluation of axillary lymph node (ALN) metastasis status in patients with a newly diagnosed unifocal breast cancer. A total of 883 eligible patients with breast cancer who underwent preoperative breast and axillary ultrasound were retrospectively enrolled between April 1, 2016, and June 30, 2022. The training cohort comprised 621 patients from Hospital I; the external validation cohorts comprised 112, 87, and 63 patients from Hospitals II, III, and IV, respectively. A DLR signature was created based on the deep learning and handcrafted features, and the DLRN was then developed based on the signature and four independent clinical parameters. The DLRN exhibited good performance, yielding areas under the receiver operating characteristic curve (AUC) of 0.914, 0.929, and 0.952 in the three external validation cohorts, respectively. Decision curve and calibration curve analyses demonstrated the favorable clinical value and calibration of the nomogram. In addition, the DLRN outperformed five experienced radiologists in all cohorts. This has the potential to guide appropriate management of the axilla in patients with breast cancer, including avoiding overtreatment.
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Affiliation(s)
- Han Liu
- Department of Ultrasound, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210002, China
| | - Liwen Zou
- Department of Mathematics, Nanjing University, Nanjing, 210008, China
| | - Nan Xu
- Department of Ultrasound, Jinling Hospital, Medical School of Nanjing University/General Hospital of Eastern Theater Command, Nanjing, 210002, China
| | - Haiyun Shen
- Department of Ultrasound, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210002, China
| | - Yu Zhang
- Department of Mathematics, Nanjing University, Nanjing, 210008, China
| | - Peng Wan
- College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Nanjing, 211106, China
| | - Baojie Wen
- Department of Ultrasound, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210002, China
| | - Xiaojing Zhang
- Department of Ultrasound, Taizhou Hospital Affiliated to Nanjing University of Chinese Medicine, Taizhou, 225300, China
| | - Yuhong He
- Department of Ultrasound, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210002, China
| | - Luying Gui
- School of Mathematics and Statistics, Nanjing University of Science and Technology, Nanjing, 210094, China.
| | - Wentao Kong
- Department of Ultrasound, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210002, China.
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Min L, Wang X, Chen A, Zhou Y, Ge Y, Dai J, Chang X, Sun W, Liu Q, Zhou X, Tian M, Kong W, Zhu J, Shen J, Liu B, Li R. Design of a single-center, phase II trial to explore the efficacy and safety of 'R-ISV-RO' treatment in advanced tumors. Future Oncol 2024. [PMID: 38445361 DOI: 10.2217/fon-2023-0962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/07/2024] Open
Abstract
Background: The authors' preclinical study has confirmed that RO adjuvant (composed of TLR 7 agonists [imiquimod/R837] and OX40 agonists) injected into local lesions induces the regression of both primary tumor and distant metastasis. The authors propose to realize local control and exert abscopal effect through an 'R-ISV-RO' in situ strategy plus anti-PD-1 monoclonal antibody in advanced tumors. Methods: This study is a single-center, exploratory, phase II trial to evaluate the efficacy and safety of R-ISV-RO plus anti-PD-1 monoclonal antibody in advanced tumors. 30 patients with one or more measurable extracerebral lesions that are accessible for radiation or injection will be enrolled. The primary endpoint is the objective response rate of target lesions. Discussion/Conclusion: The efficacy and safety of the novel strategy will be further validated through this clinical trial. Clinical trial registration: ChiCTR2100053870 (www.chictr.org.cn/).
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Affiliation(s)
- Limei Min
- The Comprehensive Cancer Centre of Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Gulou District, Nanjing City, Jiangsu Province, 210008, China
| | - Xiaolu Wang
- The Comprehensive Cancer Centre of Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Gulou District, Nanjing City, Jiangsu Province, 210008, China
| | - Anni Chen
- The Comprehensive Cancer Centre of Nanjing Drum Tower Hospital, Clinical College of Traditional Chinese & Western Medicine, Nanjing University of Chinese Medicine, No. 321 Zhongshan Road, Gulou District, Nanjing City, Jiangsu Province, 210008, China
| | - Yingling Zhou
- The Comprehensive Cancer Centre of Nanjing Drum Tower Hospital, Clinical College of Traditional Chinese & Western Medicine, Nanjing University of Chinese Medicine, No. 321 Zhongshan Road, Gulou District, Nanjing City, Jiangsu Province, 210008, China
| | - Yuchen Ge
- The Comprehensive Cancer Centre of Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Gulou District, Nanjing City, Jiangsu Province, 210008, China
| | - Juanjuan Dai
- The Comprehensive Cancer Centre of Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Gulou District, Nanjing City, Jiangsu Province, 210008, China
| | - Xiaofeng Chang
- The Comprehensive Cancer Centre of Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Gulou District, Nanjing City, Jiangsu Province, 210008, China
| | - Wu Sun
- The Comprehensive Cancer Centre of Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Gulou District, Nanjing City, Jiangsu Province, 210008, China
| | - Qin Liu
- The Comprehensive Cancer Centre of Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Gulou District, Nanjing City, Jiangsu Province, 210008, China
| | - Xia Zhou
- The Comprehensive Cancer Centre of Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Gulou District, Nanjing City, Jiangsu Province, 210008, China
| | - Manman Tian
- The Comprehensive Cancer Centre of Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Gulou District, Nanjing City, Jiangsu Province, 210008, China
| | - Wentao Kong
- Department of Ultrasound Diagnosis, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Gulou District, Nanjing City, Jiangsu Province, 210008, China
| | - Junmeng Zhu
- The Comprehensive Cancer Centre of Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Gulou District, Nanjing City, Jiangsu Province, 210008, China
| | - Jie Shen
- The Comprehensive Cancer Centre of Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Gulou District, Nanjing City, Jiangsu Province, 210008, China
| | - Baorui Liu
- The Comprehensive Cancer Centre of Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Gulou District, Nanjing City, Jiangsu Province, 210008, China
| | - Rutian Li
- The Comprehensive Cancer Centre of Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Gulou District, Nanjing City, Jiangsu Province, 210008, China
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Ma X, Shen E, Yuan J, Gong L, Kong W, Jin Z, Tao C, Liu X. Volumetric B-mode ultrasound and Doppler Imaging: Automatic Tracking With One Single Camera. Ultrason Imaging 2024; 46:90-101. [PMID: 38041446 DOI: 10.1177/01617346231213385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/03/2023]
Abstract
Vascular diseases may occur in the upper extremities, and the lesions can span the entire length of the blood vessel. One of the most popular methods to identify vascular disorders is ultrasound Doppler imaging. However, traditional two-dimensional (2D) ultrasound Doppler imaging cannot capture the entire length of a long vessel in one image. Medical professionals often have to painstakingly reconstruct three-dimensional (3D) data using 2D ultrasound images to locate the lesions, especially for large blood vessels. 3D ultrasound Doppler imaging can display the morphological structure of blood vessels and the distribution of lesions more directly, providing a more comprehensive view compared to 2D imaging. In this work, we propose a wide-range 3D volumetric ultrasound Doppler imaging system with dual modality, in which a high-definition camera is adopted to automatically track the movement of the ultrasound transducer, simultaneously capturing a corresponding sequence of 2D ultrasound Doppler images. We conducted experiments on human arms using our proposed system and separately with X-ray computerized tomography (X-CT). The comparison results prove the potential value of our proposed system in the diagnosis of arm vascular diseases.
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Affiliation(s)
- Xiaoli Ma
- School of Electronic Science and Engineering, Nanjing University, Nanjing, China
| | - Enxiang Shen
- School of Electronic Science and Engineering, Nanjing University, Nanjing, China
| | - Jie Yuan
- School of Electronic Science and Engineering, Nanjing University, Nanjing, China
| | - Li Gong
- Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Wentao Kong
- Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Zhibin Jin
- Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Chao Tao
- School of Physics, Nanjing University, Nanjing, China
| | - Xiaojun Liu
- School of Physics, Nanjing University, Nanjing, China
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Kong W, Oud M, Habraken SJM, Huiskes M, Astreinidou E, Rasch CRN, Heijmen BJM, Breedveld S. SISS-MCO: large scale sparsity-induced spot selection for fast and fully-automated robust multi-criteria optimisation of proton plans. Phys Med Biol 2024; 69:055035. [PMID: 38224619 DOI: 10.1088/1361-6560/ad1e7a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 01/15/2024] [Indexed: 01/17/2024]
Abstract
Objective.Intensity modulated proton therapy (IMPT) is an emerging treatment modality for cancer. However, treatment planning for IMPT is labour-intensive and time-consuming. We have developed a novel approach for multi-criteria optimisation (MCO) of robust IMPT plans (SISS-MCO) that is fully automated and fast, and we compare it for head and neck, cervix, and prostate tumours to a previously published method for automated robust MCO (IPBR-MCO, van de Water 2013).Approach.In both auto-planning approaches, the applied automated MCO of spot weights was performed with wish-list driven prioritised optimisation (Breedveld 2012). In SISS-MCO, spot weight MCO was applied once for every patient after sparsity-induced spot selection (SISS) for pre-selection of the most relevant spots from a large input set of candidate spots. IPBR-MCO had several iterations of spot re-sampling, each followed by MCO of the weights of the current spots.Main results.Compared to the published IPBR-MCO, the novel SISS-MCO resulted in similar or slightly superior plan quality. Optimisation times were reduced by a factor of 6 i.e. from 287 to 47 min. Numbers of spots and energy layers in the final plans were similar.Significance.The novel SISS-MCO automatically generated high-quality robust IMPT plans. Compared to a published algorithm for automated robust IMPT planning, optimisation times were reduced on average by a factor of 6. Moreover, SISS-MCO is a large scale approach; this enables optimisation of more complex wish-lists, and novel research opportunities in proton therapy.
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Affiliation(s)
- W Kong
- Department of Radiotherapy, Erasmus MC Cancer Institute, Erasmus University Medical Center , Rotterdam, The Netherlands
| | - M Oud
- Department of Radiotherapy, Erasmus MC Cancer Institute, Erasmus University Medical Center , Rotterdam, The Netherlands
| | - S J M Habraken
- Department of Radiotherapy, Erasmus MC Cancer Institute, Erasmus University Medical Center , Rotterdam, The Netherlands
- HollandPTC, Delft, The Netherlands
| | - M Huiskes
- Department of Radiation Oncology, Leiden University Medical Center, Leiden, The Netherlands
| | - E Astreinidou
- Department of Radiation Oncology, Leiden University Medical Center, Leiden, The Netherlands
| | - C R N Rasch
- Department of Radiation Oncology, Leiden University Medical Center, Leiden, The Netherlands
- HollandPTC, Delft, The Netherlands
| | - B J M Heijmen
- Department of Radiotherapy, Erasmus MC Cancer Institute, Erasmus University Medical Center , Rotterdam, The Netherlands
| | - S Breedveld
- Department of Radiotherapy, Erasmus MC Cancer Institute, Erasmus University Medical Center , Rotterdam, The Netherlands
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8
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Sun X, Su M, Zhang X, Shen H, Xie Z, Kong W, Zhu D. Correlation between choroidal vascularity and retrobulbar ocular blood flow changes and thyroid-associated ophthalmopathy activity: a cross-sectional study. BMC Ophthalmol 2024; 24:64. [PMID: 38350897 PMCID: PMC10863166 DOI: 10.1186/s12886-024-03308-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 01/16/2024] [Indexed: 02/15/2024] Open
Abstract
OBJECTIVE To evaluate the alterations in retrobulbar color Doppler imaging (CDI) parameters and retinal/choroidal optical coherence tomography angiography (OCTA) parameters and their association with the clinical activity and severity in thyroid-associated orbitopathy (TAO) patients. METHODS In this study, the retrobulbar flow parameters including resistance index (RI), Pulsatile Index(PI), peak systolic velocity (PSV) and end diastolic velocity (EDV) in posterior ciliary artery (PCA), central retinal artery (CRA) and ophthalmic artery (OA) were determined by CDI. Moreover, the retina and choroidal vascularity including the superficial vessel density (SVD), deep vessel density (DVD), choroidal thickness (ChT) and choroidal vascularity, including total choroidal area (TCA), luminal area (LA), stromal area (SA) and Choroidal Vascularity Index (CVI), were determined by OCTA. All patients grouped as active TAO and inactive TAO based on Clinical activity score (CAS). We picked the severe eye among the subjects and compared all parameters between two groups. We analyzed the correlations among those parameters. RESULTS There was a significant difference in CAS score, proptosis value, ChT, LA, CVI between patients with active TAO and inactive TAO. In the active group, PSV and EDV of PCA were significantly higher than the inactive group. On logistic regression analysis, CAS was closely associated with PSV-PCA. On multiple linear regression, proptosis value was closely associated with ChT, LA, SA and CVI. CONCLUSION Choroidal vascularization and retrobulbar blood flow were concurrently higher in active TAO patients and several variables in choroid circulation was closely related to TAO clinical features.
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Affiliation(s)
- Xinghong Sun
- Department of Ophthalmology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, No.321, Zhongshan Road, Gulou District, Nanjing, 210000, China
| | - Mengru Su
- Department of Ophthalmology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, No.321, Zhongshan Road, Gulou District, Nanjing, 210000, China
| | - Xiaowen Zhang
- Department of Endocrine, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Haiyun Shen
- Department of Ultrasonography, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, No.321, Zhongshan Road, Gulou District, Nanjing, 210000, China
| | - Zhenggao Xie
- Department of Ophthalmology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, No.321, Zhongshan Road, Gulou District, Nanjing, 210000, China.
| | - Wentao Kong
- Department of Ultrasonography, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, No.321, Zhongshan Road, Gulou District, Nanjing, 210000, China.
| | - Dandan Zhu
- Department of Ophthalmology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, No.321, Zhongshan Road, Gulou District, Nanjing, 210000, China.
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Effects of empagliflozin on progression of chronic kidney disease: a prespecified secondary analysis from the empa-kidney trial. Lancet Diabetes Endocrinol 2024; 12:39-50. [PMID: 38061371 PMCID: PMC7615591 DOI: 10.1016/s2213-8587(23)00321-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 10/24/2023] [Accepted: 10/25/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND Sodium-glucose co-transporter-2 (SGLT2) inhibitors reduce progression of chronic kidney disease and the risk of cardiovascular morbidity and mortality in a wide range of patients. However, their effects on kidney disease progression in some patients with chronic kidney disease are unclear because few clinical kidney outcomes occurred among such patients in the completed trials. In particular, some guidelines stratify their level of recommendation about who should be treated with SGLT2 inhibitors based on diabetes status and albuminuria. We aimed to assess the effects of empagliflozin on progression of chronic kidney disease both overall and among specific types of participants in the EMPA-KIDNEY trial. METHODS EMPA-KIDNEY, a randomised, controlled, phase 3 trial, was conducted at 241 centres in eight countries (Canada, China, Germany, Italy, Japan, Malaysia, the UK, and the USA), and included individuals aged 18 years or older with an estimated glomerular filtration rate (eGFR) of 20 to less than 45 mL/min per 1·73 m2, or with an eGFR of 45 to less than 90 mL/min per 1·73 m2 with a urinary albumin-to-creatinine ratio (uACR) of 200 mg/g or higher. We explored the effects of 10 mg oral empagliflozin once daily versus placebo on the annualised rate of change in estimated glomerular filtration rate (eGFR slope), a tertiary outcome. We studied the acute slope (from randomisation to 2 months) and chronic slope (from 2 months onwards) separately, using shared parameter models to estimate the latter. Analyses were done in all randomly assigned participants by intention to treat. EMPA-KIDNEY is registered at ClinicalTrials.gov, NCT03594110. FINDINGS Between May 15, 2019, and April 16, 2021, 6609 participants were randomly assigned and then followed up for a median of 2·0 years (IQR 1·5-2·4). Prespecified subgroups of eGFR included 2282 (34·5%) participants with an eGFR of less than 30 mL/min per 1·73 m2, 2928 (44·3%) with an eGFR of 30 to less than 45 mL/min per 1·73 m2, and 1399 (21·2%) with an eGFR 45 mL/min per 1·73 m2 or higher. Prespecified subgroups of uACR included 1328 (20·1%) with a uACR of less than 30 mg/g, 1864 (28·2%) with a uACR of 30 to 300 mg/g, and 3417 (51·7%) with a uACR of more than 300 mg/g. Overall, allocation to empagliflozin caused an acute 2·12 mL/min per 1·73 m2 (95% CI 1·83-2·41) reduction in eGFR, equivalent to a 6% (5-6) dip in the first 2 months. After this, it halved the chronic slope from -2·75 to -1·37 mL/min per 1·73 m2 per year (relative difference 50%, 95% CI 42-58). The absolute and relative benefits of empagliflozin on the magnitude of the chronic slope varied significantly depending on diabetes status and baseline levels of eGFR and uACR. In particular, the absolute difference in chronic slopes was lower in patients with lower baseline uACR, but because this group progressed more slowly than those with higher uACR, this translated to a larger relative difference in chronic slopes in this group (86% [36-136] reduction in the chronic slope among those with baseline uACR <30 mg/g compared with a 29% [19-38] reduction for those with baseline uACR ≥2000 mg/g; ptrend<0·0001). INTERPRETATION Empagliflozin slowed the rate of progression of chronic kidney disease among all types of participant in the EMPA-KIDNEY trial, including those with little albuminuria. Albuminuria alone should not be used to determine whether to treat with an SGLT2 inhibitor. FUNDING Boehringer Ingelheim and Eli Lilly.
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Pan S, Wang J, Liu G, Zhang J, Song Y, Kong W, Zhou Y, Wu G. Factors influencing the detection rate of fumarate peak in 1H MR spectroscopy of fumarate hydratase-deficient renal cell carcinoma at 3 T MRI. Clin Radiol 2024; 79:e80-e88. [PMID: 37923625 DOI: 10.1016/j.crad.2023.09.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 09/06/2023] [Accepted: 09/29/2023] [Indexed: 11/07/2023]
Abstract
AIM To identify factors that may be associated with fumarate detection rate in 1H-magnetic resonance spectroscopy (MRS) in fumarate hydratase-deficient renal cell carcinoma (FH-RCC). MATERIALS AND MEHODS Between February 2018 and March 2022, 16 FH-RCC patients with 30 lesions underwent 1H-MRS. Detection results were classified as having a detected fumarate peak (n=12), undetected peak (n=10), or technical failure (n=8). Factors including tumour size, tumour location, treatment history, and metastasis status were collected and analysed. A Bayesian logistic regression model was applied to evaluate the association between these factors and the detection result. RESULTS Bayesian analysis demonstrated significant associations between fumarate detection results and the following factors: long-axis diameter (odds ratio [OR] of 1.64; 95% confidence interval [CI] of 1.07-2.53), short-axis diameter (OR of 1.90; 95% CI of 1.19-3.06), voxel size (OR of 2.85; 95% CI of 1.70-4.75), treatment history (OR of 0.35; 95% CI of 0.21-0.58), non-metastatic state (OR of 2.45; 95% CI of 1.48-4.06), and lymph node metastasis (OR of 0.35; 95% CI of 0.21-0.58). Technical failure results were associated with factors such as treatment history (OR of 2.59; 95% CI of 1.37-4.66), non-metastatic state (OR of 0.36; 95% CI of 0.19-0.66), and lymph node metastasis (OR of 2.61; 95% CI of 1.39-4.74). CONCLUSION Tumour size, treatment history, and metastasis character were associated with the detection of abnormal fumarate accumulation. This finding will serve as a reference for interpreting 1H-MRS results and for selecting suitable scenarios to evaluate FH-RCC.
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Affiliation(s)
- S Pan
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - J Wang
- Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - G Liu
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - J Zhang
- Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Y Song
- MR Scientific Marketing, Siemens Healthineers Ltd, Shanghai, 201318, China
| | - W Kong
- Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.
| | - Y Zhou
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.
| | - G Wu
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.
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N, Choksi R, Chukwu C, Chung K, Cianciolo G, Cipressa L, Clark S, Clarke H, Clarke R, Clarke S, Cleveland B, Cole E, Coles H, Condurache L, Connor A, Convery K, Cooper A, Cooper N, Cooper Z, Cooperman L, Cosgrove L, Coutts P, Cowley A, Craik R, Cui G, Cummins T, Dahl N, Dai H, Dajani L, D'Amelio A, Damian E, Damianik K, Danel L, Daniels C, Daniels T, Darbeau S, Darius H, Dasgupta T, Davies J, Davies L, Davis A, Davis J, Davis L, Dayanandan R, Dayi S, Dayrell R, De Nicola L, Debnath S, Deeb W, Degenhardt S, DeGoursey K, Delaney M, Deo R, DeRaad R, Derebail V, Dev D, Devaux M, Dhall P, Dhillon G, Dienes J, Dobre M, Doctolero E, Dodds V, Domingo D, Donaldson D, Donaldson P, Donhauser C, Donley V, Dorestin S, Dorey S, Doulton T, Draganova D, Draxlbauer K, Driver F, Du H, Dube F, Duck T, Dugal T, Dugas J, Dukka H, Dumann H, Durham W, Dursch M, Dykas R, Easow R, Eckrich E, Eden G, Edmerson E, Edwards H, Ee LW, Eguchi J, Ehrl Y, Eichstadt K, Eid W, Eilerman B, Ejima Y, Eldon H, Ellam T, Elliott L, Ellison R, Emberson J, Epp R, Er A, Espino-Obrero M, Estcourt S, Estienne L, Evans G, Evans J, Evans S, Fabbri G, Fajardo-Moser M, Falcone C, Fani F, Faria-Shayler P, Farnia F, Farrugia D, Fechter M, Fellowes D, Feng F, Fernandez J, Ferraro P, Field A, Fikry S, Finch J, Finn H, Fioretto P, Fish R, Fleischer A, Fleming-Brown D, Fletcher L, Flora R, Foellinger C, Foligno N, Forest S, Forghani Z, Forsyth K, Fottrell-Gould D, Fox P, Frankel A, Fraser D, Frazier R, Frederick K, Freking N, French H, Froment A, Fuchs B, Fuessl L, Fujii H, Fujimoto A, Fujita A, Fujita K, Fujita Y, Fukagawa M, Fukao Y, Fukasawa A, Fuller T, Funayama T, Fung E, Furukawa M, Furukawa Y, Furusho M, Gabel S, Gaidu J, Gaiser S, Gallo K, Galloway C, Gambaro G, Gan CC, Gangemi C, Gao M, Garcia K, Garcia M, Garofalo C, Garrity M, Garza A, Gasko S, Gavrila M, Gebeyehu B, Geddes A, Gentile G, George A, George J, Gesualdo L, Ghalli F, Ghanem A, Ghate T, Ghavampour S, Ghazi A, Gherman A, Giebeln-Hudnell U, Gill B, Gillham S, Girakossyan I, Girndt M, Giuffrida A, Glenwright M, Glider T, Gloria R, Glowski D, Goh BL, Goh CB, Gohda T, Goldenberg R, Goldfaden R, Goldsmith C, Golson B, Gonce V, Gong Q, Goodenough B, Goodwin N, Goonasekera M, Gordon A, Gordon J, Gore A, Goto H, Goto S, Goto S, Gowen D, Grace A, Graham J, Grandaliano G, Gray M, Green JB, Greene T, Greenwood G, Grewal B, Grifa R, Griffin D, Griffin S, Grimmer P, Grobovaite E, Grotjahn S, Guerini A, Guest C, Gunda S, Guo B, Guo Q, Haack S, Haase M, Haaser K, Habuki K, Hadley A, Hagan S, Hagge S, Haller H, Ham S, Hamal S, Hamamoto Y, Hamano N, Hamm M, Hanburry A, Haneda M, Hanf C, Hanif W, Hansen J, Hanson L, Hantel S, Haraguchi T, Harding E, Harding T, Hardy C, Hartner C, Harun Z, Harvill L, Hasan A, Hase H, Hasegawa F, Hasegawa T, Hashimoto A, Hashimoto C, Hashimoto M, Hashimoto S, Haskett S, Hauske SJ, Hawfield A, Hayami T, Hayashi M, Hayashi S, Haynes R, Hazara A, Healy C, Hecktman J, Heine G, Henderson H, Henschel R, Hepditch A, Herfurth K, Hernandez G, Hernandez Pena A, Hernandez-Cassis C, Herrington WG, Herzog C, Hewins S, Hewitt D, Hichkad L, Higashi S, Higuchi C, Hill C, Hill L, Hill M, Himeno T, Hing A, Hirakawa Y, Hirata K, Hirota Y, Hisatake T, Hitchcock S, Hodakowski A, Hodge W, Hogan R, Hohenstatt U, Hohenstein B, Hooi L, Hope S, Hopley M, Horikawa S, Hosein D, Hosooka T, Hou L, Hou W, Howie L, Howson A, Hozak M, Htet Z, Hu X, Hu Y, Huang J, Huda N, Hudig L, Hudson A, Hugo C, Hull R, Hume L, Hundei W, Hunt N, Hunter A, Hurley S, Hurst A, Hutchinson C, Hyo T, Ibrahim FH, Ibrahim S, Ihana N, Ikeda T, Imai A, Imamine R, Inamori A, Inazawa H, Ingell J, Inomata K, Inukai Y, Ioka M, Irtiza-Ali A, Isakova T, Isari W, Iselt M, Ishiguro A, Ishihara K, Ishikawa T, Ishimoto T, Ishizuka K, Ismail R, Itano S, Ito H, Ito K, Ito M, Ito Y, Iwagaitsu S, Iwaita Y, Iwakura T, Iwamoto M, Iwasa M, Iwasaki H, Iwasaki S, Izumi K, Izumi K, Izumi T, Jaafar SM, Jackson C, Jackson Y, Jafari G, Jahangiriesmaili M, Jain N, 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Liew A, Liew YF, Lilavivat U, Lim SK, Lim YS, Limon E, Lin H, Lioudaki E, Liu H, Liu J, Liu L, Liu Q, Liu WJ, Liu X, Liu Z, Loader D, Lochhead H, Loh CL, Lorimer A, Loudermilk L, Loutan J, Low CK, Low CL, Low YM, Lozon Z, Lu Y, Lucci D, Ludwig U, Luker N, Lund D, Lustig R, Lyle S, Macdonald C, MacDougall I, Machicado R, MacLean D, Macleod P, Madera A, Madore F, Maeda K, Maegawa H, Maeno S, Mafham M, Magee J, Maggioni AP, Mah DY, Mahabadi V, Maiguma M, Makita Y, Makos G, Manco L, Mangiacapra R, Manley J, Mann P, Mano S, Marcotte G, Maris J, Mark P, Markau S, Markovic M, Marshall C, Martin M, Martinez C, Martinez S, Martins G, Maruyama K, Maruyama S, Marx K, Maselli A, Masengu A, Maskill A, Masumoto S, Masutani K, Matsumoto M, Matsunaga T, Matsuoka N, Matsushita M, Matthews M, Matthias S, Matvienko E, Maurer M, Maxwell P, Mayne KJ, Mazlan N, Mazlan SA, Mbuyisa A, McCafferty K, McCarroll F, McCarthy T, McClary-Wright C, McCray K, McDermott P, McDonald C, McDougall R, McHaffie E, McIntosh K, McKinley T, McLaughlin S, McLean N, McNeil L, Measor A, Meek J, Mehta A, Mehta R, Melandri M, Mené P, Meng T, Menne J, Merritt K, Merscher S, Meshykhi C, Messa P, Messinger L, Miftari N, Miller R, Miller Y, Miller-Hodges E, Minatoguchi M, Miners M, Minutolo R, Mita T, Miura Y, Miyaji M, Miyamoto S, Miyatsuka T, Miyazaki M, Miyazawa I, Mizumachi R, Mizuno M, Moffat S, Mohamad Nor FS, Mohamad Zaini SN, Mohamed Affandi FA, Mohandas C, Mohd R, Mohd Fauzi NA, Mohd Sharif NH, Mohd Yusoff Y, Moist L, Moncada A, Montasser M, Moon A, Moran C, Morgan N, Moriarty J, Morig G, Morinaga H, Morino K, Morisaki T, Morishita Y, Morlok S, Morris A, Morris F, Mostafa S, Mostefai Y, Motegi M, Motherwell N, Motta D, Mottl A, Moys R, Mozaffari S, Muir J, Mulhern J, Mulligan S, Munakata Y, Murakami C, Murakoshi M, Murawska A, Murphy K, Murphy L, Murray S, Murtagh H, Musa MA, Mushahar L, Mustafa R, Mustafar R, Muto M, Nadar E, Nagano R, Nagasawa T, Nagashima E, Nagasu H, Nagelberg S, Nair H, Nakagawa Y, 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P, Pesce F, Pessolano G, Petchey W, Petr EJ, Pfab T, Phelan P, Phillips R, Phillips T, Phipps M, Piccinni G, Pickett T, Pickworth S, Piemontese M, Pinto D, Piper J, Plummer-Morgan J, Poehler D, Polese L, Poma V, Pontremoli R, Postal A, Pötz C, Power A, Pradhan N, Pradhan R, Preiss D, Preiss E, Preston K, Prib N, Price L, Provenzano C, Pugay C, Pulido R, Putz F, Qiao Y, Quartagno R, Quashie-Akponeware M, Rabara R, Rabasa-Lhoret R, Radhakrishnan D, Radley M, Raff R, Raguwaran S, Rahbari-Oskoui F, Rahman M, Rahmat K, Ramadoss S, Ramanaidu S, Ramasamy S, Ramli R, Ramli S, Ramsey T, Rankin A, Rashidi A, Raymond L, Razali WAFA, Read K, Reiner H, Reisler A, Reith C, Renner J, Rettenmaier B, Richmond L, Rijos D, Rivera R, Rivers V, Robinson H, Rocco M, Rodriguez-Bachiller I, Rodriquez R, Roesch C, Roesch J, Rogers J, Rohnstock M, Rolfsmeier S, Roman M, Romo A, Rosati A, Rosenberg S, Ross T, Rossello X, Roura M, Roussel M, Rovner S, Roy S, Rucker S, Rump L, Ruocco M, Ruse S, Russo F, Russo M, Ryder M, Sabarai A, Saccà C, Sachson R, Sadler E, Safiee NS, Sahani M, Saillant A, Saini J, Saito C, Saito S, Sakaguchi K, Sakai M, Salim H, Salviani C, Sammons E, Sampson A, Samson F, Sandercock P, Sanguila S, Santorelli G, Santoro D, Sarabu N, Saram T, Sardell R, Sasajima H, Sasaki T, Satko S, Sato A, Sato D, Sato H, Sato H, Sato J, Sato T, Sato Y, Satoh M, Sawada K, Schanz M, Scheidemantel F, Schemmelmann M, Schettler E, Schettler V, Schlieper GR, Schmidt C, Schmidt G, Schmidt U, Schmidt-Gurtler H, Schmude M, Schneider A, Schneider I, Schneider-Danwitz C, Schomig M, Schramm T, Schreiber A, Schricker S, Schroppel B, Schulte-Kemna L, Schulz E, Schumacher B, Schuster A, Schwab A, Scolari F, Scott A, Seeger W, Seeger W, Segal M, Seifert L, Seifert M, Sekiya M, Sellars R, Seman MR, Shah S, Shah S, Shainberg L, Shanmuganathan M, Shao F, Sharma K, Sharpe C, Sheikh-Ali M, Sheldon J, Shenton C, Shepherd A, Shepperd M, Sheridan R, Sheriff Z, Shibata Y, Shigehara T, Shikata K, Shimamura K, Shimano H, Shimizu Y, Shimoda H, Shin K, Shivashankar G, Shojima N, Silva R, Sim CSB, Simmons K, Sinha S, Sitter T, Sivanandam S, Skipper M, Sloan K, Sloan L, Smith R, Smyth J, Sobande T, Sobata M, Somalanka S, Song X, Sonntag F, Sood B, Sor SY, Soufer J, Sparks H, Spatoliatore G, Spinola T, Squyres S, Srivastava A, Stanfield J, Staplin N, Staylor K, Steele A, Steen O, Steffl D, Stegbauer J, Stellbrink C, Stellbrink E, Stevens W, Stevenson A, Stewart-Ray V, Stickley J, Stoffler D, Stratmann B, Streitenberger S, Strutz F, Stubbs J, Stumpf J, Suazo N, Suchinda P, Suckling R, Sudin A, Sugamori K, Sugawara H, Sugawara K, Sugimoto D, Sugiyama H, Sugiyama H, Sugiyama T, Sullivan M, Sumi M, Suresh N, Sutton D, Suzuki H, Suzuki R, Suzuki Y, Suzuki Y, Suzuki Y, Swanson E, Swift P, Syed S, Szerlip H, Taal M, Taddeo M, Tailor C, Tajima K, Takagi M, Takahashi K, Takahashi K, Takahashi M, Takahashi T, Takahira E, Takai T, Takaoka M, Takeoka J, Takesada A, Takezawa M, Talbot M, Taliercio J, Talsania T, Tamori Y, Tamura R, Tamura Y, Tan CHH, Tan EZZ, Tanabe A, Tanabe K, Tanaka A, Tanaka A, Tanaka N, Tang S, Tang Z, Tanigaki K, Tarlac M, Tatsuzawa A, Tay JF, Tay LL, Taylor J, Taylor K, Taylor K, Te A, Tenbusch L, Teng KS, Terakawa A, Terry J, Tham ZD, Tholl S, Thomas G, Thong KM, Tietjen D, Timadjer A, Tindall H, Tipper S, Tobin K, Toda N, Tokuyama A, Tolibas M, Tomita A, Tomita T, Tomlinson J, Tonks L, Topf J, Topping S, Torp A, Torres A, Totaro F, Toth P, Toyonaga Y, Tripodi F, Trivedi K, Tropman E, Tschope D, Tse J, Tsuji K, Tsunekawa S, Tsunoda R, Tucky B, Tufail S, Tuffaha A, Turan E, Turner H, Turner J, Turner M, Tuttle KR, Tye YL, Tyler A, Tyler J, Uchi H, Uchida H, Uchida T, Uchida T, Udagawa T, Ueda S, Ueda Y, Ueki K, Ugni S, Ugwu E, Umeno R, Unekawa C, Uozumi K, Urquia K, Valleteau A, Valletta C, van Erp R, Vanhoy C, Varad V, Varma R, Varughese A, Vasquez P, Vasseur A, Veelken R, Velagapudi C, Verdel K, Vettoretti S, Vezzoli G, Vielhauer V, Viera R, Vilar E, Villaruel S, Vinall L, Vinathan J, Visnjic M, Voigt E, von-Eynatten M, Vourvou M, Wada J, Wada J, Wada T, Wada Y, Wakayama K, Wakita Y, Wallendszus K, Walters T, Wan Mohamad WH, Wang L, Wang W, Wang X, Wang X, Wang Y, Wanner C, Wanninayake S, Watada H, Watanabe K, Watanabe K, Watanabe M, Waterfall H, Watkins D, Watson S, Weaving L, Weber B, Webley Y, Webster A, Webster M, Weetman M, Wei W, Weihprecht H, Weiland L, Weinmann-Menke J, Weinreich T, Wendt R, Weng Y, Whalen M, Whalley G, Wheatley R, Wheeler A, Wheeler J, Whelton P, White K, Whitmore B, Whittaker S, Wiebel J, Wiley J, Wilkinson L, Willett M, Williams A, Williams E, Williams K, Williams T, Wilson A, Wilson P, Wincott L, Wines E, Winkelmann B, Winkler M, Winter-Goodwin B, Witczak J, Wittes J, Wittmann M, Wolf G, Wolf L, Wolfling R, Wong C, Wong E, Wong HS, Wong LW, Wong YH, Wonnacott A, Wood A, Wood L, Woodhouse H, Wooding N, Woodman A, Wren K, Wu J, Wu P, Xia S, Xiao H, Xiao X, Xie Y, Xu C, Xu Y, Xue H, Yahaya H, Yalamanchili H, Yamada A, Yamada N, Yamagata K, Yamaguchi M, Yamaji Y, Yamamoto A, Yamamoto S, Yamamoto S, Yamamoto T, Yamanaka A, Yamano T, Yamanouchi Y, Yamasaki N, Yamasaki Y, Yamasaki Y, Yamashita C, Yamauchi T, Yan Q, Yanagisawa E, Yang F, Yang L, Yano S, Yao S, Yao Y, Yarlagadda S, Yasuda Y, Yiu V, Yokoyama T, Yoshida S, Yoshidome E, Yoshikawa H, Young A, Young T, Yousif V, Yu H, Yu Y, Yuasa K, Yusof N, Zalunardo N, Zander B, Zani R, Zappulo F, Zayed M, Zemann B, Zettergren P, Zhang H, Zhang L, Zhang L, Zhang N, Zhang X, Zhao J, Zhao L, Zhao S, Zhao Z, Zhong H, Zhou N, Zhou S, Zhu D, Zhu L, Zhu S, Zietz M, Zippo M, Zirino F, Zulkipli FH. Impact of primary kidney disease on the effects of empagliflozin in patients with chronic kidney disease: secondary analyses of the EMPA-KIDNEY trial. Lancet Diabetes Endocrinol 2024; 12:51-60. [PMID: 38061372 DOI: 10.1016/s2213-8587(23)00322-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 10/24/2023] [Accepted: 10/25/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND The EMPA-KIDNEY trial showed that empagliflozin reduced the risk of the primary composite outcome of kidney disease progression or cardiovascular death in patients with chronic kidney disease mainly through slowing progression. We aimed to assess how effects of empagliflozin might differ by primary kidney disease across its broad population. METHODS EMPA-KIDNEY, a randomised, controlled, phase 3 trial, was conducted at 241 centres in eight countries (Canada, China, Germany, Italy, Japan, Malaysia, the UK, and the USA). Patients were eligible if their estimated glomerular filtration rate (eGFR) was 20 to less than 45 mL/min per 1·73 m2, or 45 to less than 90 mL/min per 1·73 m2 with a urinary albumin-to-creatinine ratio (uACR) of 200 mg/g or higher at screening. They were randomly assigned (1:1) to 10 mg oral empagliflozin once daily or matching placebo. Effects on kidney disease progression (defined as a sustained ≥40% eGFR decline from randomisation, end-stage kidney disease, a sustained eGFR below 10 mL/min per 1·73 m2, or death from kidney failure) were assessed using prespecified Cox models, and eGFR slope analyses used shared parameter models. Subgroup comparisons were performed by including relevant interaction terms in models. EMPA-KIDNEY is registered with ClinicalTrials.gov, NCT03594110. FINDINGS Between May 15, 2019, and April 16, 2021, 6609 participants were randomly assigned and followed up for a median of 2·0 years (IQR 1·5-2·4). Prespecified subgroupings by primary kidney disease included 2057 (31·1%) participants with diabetic kidney disease, 1669 (25·3%) with glomerular disease, 1445 (21·9%) with hypertensive or renovascular disease, and 1438 (21·8%) with other or unknown causes. Kidney disease progression occurred in 384 (11·6%) of 3304 patients in the empagliflozin group and 504 (15·2%) of 3305 patients in the placebo group (hazard ratio 0·71 [95% CI 0·62-0·81]), with no evidence that the relative effect size varied significantly by primary kidney disease (pheterogeneity=0·62). The between-group difference in chronic eGFR slopes (ie, from 2 months to final follow-up) was 1·37 mL/min per 1·73 m2 per year (95% CI 1·16-1·59), representing a 50% (42-58) reduction in the rate of chronic eGFR decline. This relative effect of empagliflozin on chronic eGFR slope was similar in analyses by different primary kidney diseases, including in explorations by type of glomerular disease and diabetes (p values for heterogeneity all >0·1). INTERPRETATION In a broad range of patients with chronic kidney disease at risk of progression, including a wide range of non-diabetic causes of chronic kidney disease, empagliflozin reduced risk of kidney disease progression. Relative effect sizes were broadly similar irrespective of the cause of primary kidney disease, suggesting that SGLT2 inhibitors should be part of a standard of care to minimise risk of kidney failure in chronic kidney disease. FUNDING Boehringer Ingelheim, Eli Lilly, and UK Medical Research Council.
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Chen F, Chen L, Kong W, Zhang W, Zheng P, Sun L, Zhang D, Liao H. Deep Semi-Supervised Ultrasound Image Segmentation by Using a Shadow Aware Network With Boundary Refinement. IEEE Trans Med Imaging 2023; 42:3779-3793. [PMID: 37695964 DOI: 10.1109/tmi.2023.3309249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/13/2023]
Abstract
Accurate ultrasound (US) image segmentation is crucial for the screening and diagnosis of diseases. However, it faces two significant challenges: 1) pixel-level annotation is a time-consuming and laborious process; 2) the presence of shadow artifacts leads to missing anatomy and ambiguous boundaries, which negatively impact reliable segmentation results. To address these challenges, we propose a novel semi-supervised shadow aware network with boundary refinement (SABR-Net). Specifically, we add shadow imitation regions to the original US, and design shadow-masked transformer blocks to perceive missing anatomy of shadow regions. Shadow-masked transformer block contains an adaptive shadow attention mechanism that introduces an adaptive mask, which is updated automatically to promote the network training. Additionally, we utilize unlabeled US images to train a missing structure inpainting path with shadow-masked transformer, which further facilitates semi-supervised segmentation. Experiments on two public US datasets demonstrate the superior performance of the SABR-Net over other state-of-the-art semi-supervised segmentation methods. In addition, experiments on a private breast US dataset prove that our method has a good generalization to clinical small-scale US datasets.
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Chen L, Liao H, Kong W, Zhang D, Chen F. Anatomy preserving GAN for realistic simulation of intraoperative liver ultrasound images. Comput Methods Programs Biomed 2023; 240:107642. [PMID: 37480644 DOI: 10.1016/j.cmpb.2023.107642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Revised: 05/31/2023] [Accepted: 06/02/2023] [Indexed: 07/24/2023]
Abstract
In ultrasound-guided liver surgery, the lack of large-scale intraoperative ultrasound images with important anatomical structures remains an obstacle hindering the successful application of AI to ultrasound guidance. In this case, intraoperative ultrasound (iUS) simulation should be conducted from preoperative magnetic resonance (pMR), which not only helps doctors understand the characteristics of iUS in advance, but also expands the iUS dataset from various imaging positions, thereby promoting the automatic iUS analysis in ultrasound guidance. Herein, a novel anatomy preserving generative adversarial network (ApGAN) framework was proposed to generate simulated intraoperative ultrasound (Sim-iUS) of liver with precise structure information from pMR. Specifically, the low-rank factors based bimodal fusion was first established focusing on the effective information of hepatic parenchyma. Then, a deformation field based correction module was introduced to learn and correct the slight structural distortion from surgical operations. Meanwhile, the multiple loss functions were designed to constrain the simulation of the content, structures, and style. Empirical results of clinical data showed that the proposed ApGAN obtained higher Structural Similarity (SSIM) of 0.74 and Fr´echet Inception Distance (FID) of 35.54 compared to existing methods. Furthermore, the average Hausdorff Distance (HD) error of the liver capsule structure was less than 0.25 mm, and the average relative (Euclidean Distance) ED error for polyps was 0.12 mm, indicating the high-level precision of this ApGAN in simulating the anatomical structures and focal areas.
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Affiliation(s)
- Lingyu Chen
- Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing, China; College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Hongen Liao
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Wentao Kong
- Department of Ultrasound, Affiliated DrumTower Hospital, Medical School of Nanjing University, Nanjing 210008, China.
| | - Daoqiang Zhang
- Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing, China; College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Fang Chen
- Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing, China; College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China.
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Chen F, Wang J, Liu H, Kong W, Zhao Z, Ma L, Liao H, Zhang D. Frequency constraint-based adversarial attack on deep neural networks for medical image classification. Comput Biol Med 2023; 164:107248. [PMID: 37515875 DOI: 10.1016/j.compbiomed.2023.107248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 06/21/2023] [Accepted: 07/07/2023] [Indexed: 07/31/2023]
Abstract
The security of AI systems has gained significant attention in recent years, particularly in the medical diagnosis field. To develop a secure medical image classification system based on deep neural networks, it is crucial to design effective adversarial attacks that can embed hidden, malicious behaviors into the system. However, designing a unified attack method that can generate imperceptible attack samples with high content similarity and be applied to diverse medical image classification systems is challenging due to the diversity of medical imaging modalities and dimensionalities. Most existing attack methods are designed to attack natural image classification models, which inevitably corrupt the semantics of pixels by applying spatial perturbations. To address this issue, we propose a novel frequency constraint-based adversarial attack method capable of delivering attacks in various medical image classification tasks. Specially, our method introduces a frequency constraint to inject perturbation into high-frequency information while preserving low-frequency information to ensure content similarity. Our experiments include four public medical image datasets, including a 3D CT dataset, a 2D chest X-Ray image dataset, a 2D breast ultrasound dataset, and a 2D thyroid ultrasound dataset, which contain different imaging modalities and dimensionalities. The results demonstrate the superior performance of our model over other state-of-the-art adversarial attack methods for attacking medical image classification tasks on different imaging modalities and dimensionalities.
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Affiliation(s)
- Fang Chen
- Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing China; College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing China.
| | - Jian Wang
- Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing China; College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing China
| | - Han Liu
- Department of Ultrasound, Affiliated Drum Tower Hospital, Nanjing University Medical School, Nanjing, 21008, China.
| | - Wentao Kong
- Department of Ultrasound, Affiliated Drum Tower Hospital, Nanjing University Medical School, Nanjing, 21008, China
| | - Zhe Zhao
- Department of Orthopaedics, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing 102218, China
| | - Longfei Ma
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Hongen Liao
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Daoqiang Zhang
- Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing China; College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing China
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Zhang X, Miao J, Yang J, Liu C, Huang J, Song J, Xie D, Yue C, Kong W, Hu J, Luo W, Liu S, Li F, Zi W. DWI-Based Radiomics Predicts the Functional Outcome of Endovascular Treatment in Acute Basilar Artery Occlusion. AJNR Am J Neuroradiol 2023; 44:536-542. [PMID: 37080720 PMCID: PMC10171394 DOI: 10.3174/ajnr.a7851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 03/15/2023] [Indexed: 04/22/2023]
Abstract
BACKGROUND AND PURPOSE Endovascular treatment is a reference treatment for acute basilar artery occlusion (ABAO). However, no established and specific methods are available for the preoperative screening of patients with ABAO suitable for endovascular treatment. This study explores the potential value of DWI-based radiomics in predicting the functional outcomes of endovascular treatment in ABAO. MATERIALS AND METHODS Patients with ABAO treated with endovascular treatment from the BASILAR registry (91 patients in the training cohort) and the hospitals in the Northwest of China (31 patients for the external testing cohort) were included in this study. The Mann-Whitney U test, random forests algorithm, and least absolute shrinkage and selection operator were used to reduce the feature dimension. A machine learning model was developed on the basis of the training cohort to predict the prognosis of endovascular treatment. The performance of the model was evaluated on the independent external testing cohort. RESULTS A subset of radiomics features (n = 6) was used to predict the functional outcomes in patients with ABAO. The areas under the receiver operating characteristic curve of the radiomics model were 0.870 and 0.781 in the training cohort and testing cohort, respectively. The accuracy of the radiomics model was 77.4%, with a sensitivity of 78.9%, specificity of 75%, positive predictive value of 83.3%, and negative predictive value of 69.2% in the testing cohort. CONCLUSIONS DWI-based radiomics can predict the prognosis of endovascular treatment in patients with ABAO, hence allowing a potentially better selection of patients who are most likely to benefit from this treatment.
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Affiliation(s)
- X Zhang
- From the Department of Neurology (X.Z., J.M., J.Y., C.L., J.H., J.S., D.X., C.Y., W.K., J.H., W.L., S.L., F.L., W.Z.), Xinqiao Hospital and The Second Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
- Department of Neurology (X.Z.), The Affiliated Hospital of Northwest University Xi'an No.3 Hospital, Xian, China
| | - J Miao
- From the Department of Neurology (X.Z., J.M., J.Y., C.L., J.H., J.S., D.X., C.Y., W.K., J.H., W.L., S.L., F.L., W.Z.), Xinqiao Hospital and The Second Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
- Department of Neurology (J.M.), Xianyang Hospital of Yan'an University, Xianyang, China
| | - J Yang
- From the Department of Neurology (X.Z., J.M., J.Y., C.L., J.H., J.S., D.X., C.Y., W.K., J.H., W.L., S.L., F.L., W.Z.), Xinqiao Hospital and The Second Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - C Liu
- From the Department of Neurology (X.Z., J.M., J.Y., C.L., J.H., J.S., D.X., C.Y., W.K., J.H., W.L., S.L., F.L., W.Z.), Xinqiao Hospital and The Second Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - J Huang
- From the Department of Neurology (X.Z., J.M., J.Y., C.L., J.H., J.S., D.X., C.Y., W.K., J.H., W.L., S.L., F.L., W.Z.), Xinqiao Hospital and The Second Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - J Song
- From the Department of Neurology (X.Z., J.M., J.Y., C.L., J.H., J.S., D.X., C.Y., W.K., J.H., W.L., S.L., F.L., W.Z.), Xinqiao Hospital and The Second Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - D Xie
- From the Department of Neurology (X.Z., J.M., J.Y., C.L., J.H., J.S., D.X., C.Y., W.K., J.H., W.L., S.L., F.L., W.Z.), Xinqiao Hospital and The Second Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - C Yue
- From the Department of Neurology (X.Z., J.M., J.Y., C.L., J.H., J.S., D.X., C.Y., W.K., J.H., W.L., S.L., F.L., W.Z.), Xinqiao Hospital and The Second Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - W Kong
- From the Department of Neurology (X.Z., J.M., J.Y., C.L., J.H., J.S., D.X., C.Y., W.K., J.H., W.L., S.L., F.L., W.Z.), Xinqiao Hospital and The Second Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - J Hu
- From the Department of Neurology (X.Z., J.M., J.Y., C.L., J.H., J.S., D.X., C.Y., W.K., J.H., W.L., S.L., F.L., W.Z.), Xinqiao Hospital and The Second Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - W Luo
- From the Department of Neurology (X.Z., J.M., J.Y., C.L., J.H., J.S., D.X., C.Y., W.K., J.H., W.L., S.L., F.L., W.Z.), Xinqiao Hospital and The Second Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - S Liu
- From the Department of Neurology (X.Z., J.M., J.Y., C.L., J.H., J.S., D.X., C.Y., W.K., J.H., W.L., S.L., F.L., W.Z.), Xinqiao Hospital and The Second Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - F Li
- From the Department of Neurology (X.Z., J.M., J.Y., C.L., J.H., J.S., D.X., C.Y., W.K., J.H., W.L., S.L., F.L., W.Z.), Xinqiao Hospital and The Second Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - W Zi
- From the Department of Neurology (X.Z., J.M., J.Y., C.L., J.H., J.S., D.X., C.Y., W.K., J.H., W.L., S.L., F.L., W.Z.), Xinqiao Hospital and The Second Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
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Huang D, Wen B, Zhang H, Liu H, Wang W, Shen H, Kong W. Ultrasound fusion imaging for improving diagnostic and therapeutic strategies of focal liver lesions: A preliminary study. J Clin Ultrasound 2023. [PMID: 37098104 DOI: 10.1002/jcu.23467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 03/27/2023] [Accepted: 04/05/2023] [Indexed: 06/19/2023]
Abstract
PURPOSE To assess the effect of ultrasound (US) fusion imaging on the clinical diagnostic and therapeutic strategies of focal liver lesions, which are difficult to detect or diagnose by conventional US. METHODS From November 2019 to June 2022, 71 patients with invisible or undiagnosed focal liver lesions who underwent fusion imaging combining US with CT or MR were included in this retrospective study. The reasons for US fusion imaging were as follows: (1) lesions that were undetectable or inconspicuous on B-mode US; (2) post-ablation lesions that could not be assessed accurately by B-mode US; (3) to evaluate whether the lesions detected by B-mode US that were consistent with those presented on MRI/CT images. RESULTS Of the 71 cases, 43 cases were single lesions, and 28 cases were multiple lesions. Among the 46 cases which were invisible on conventional US, the display rate of lesions using US-CT/MRI fusion imaging was 30.8%, and that combined with CEUS was 76.9%. US-guided biopsy was performed in 30 patients after the detection and localization determined by fusion imaging, with a positive rate of 73.3%. Six patients with recurrence after ablation therapy were all detected and located accurately after fusion imaging, and 4 of them successfully underwent ablation therapy again. CONCLUSION Fusion imaging contributes to the understanding of the anatomical relationship between lesion location and blood vessels. Additionally, fusion imaging can improve the diagnostic confidence, be helpful to guide interventional operations, and hence be conducive to clinical therapeutic strategies.
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Affiliation(s)
- Danqing Huang
- Department of Ultrasound, Nanjing DrumTower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Baojie Wen
- Department of Ultrasound, Nanjing DrumTower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Han Zhang
- Department of Ultrasound, Nanjing DrumTower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Han Liu
- Department of Ultrasound, Nanjing DrumTower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Wenping Wang
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Haiyun Shen
- Department of Ultrasound, Nanjing DrumTower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Wentao Kong
- Department of Ultrasound, Nanjing DrumTower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
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Wan P, Xue H, Liu C, Chen F, Kong W, Zhang D. Dynamic Perfusion Representation and Aggregation Network for Nodule Segmentation using Contrast-enhanced US. IEEE J Biomed Health Inform 2023; PP. [PMID: 37097791 DOI: 10.1109/jbhi.2023.3270307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2023]
Abstract
Dynamic contrast-enhanced ultrasound (CEUS) imaging has been widely applied in lesion detection and characterization, due to its offered real-time observation of microvascular perfusion. Accurate lesion segmentation is of great importance to the quantitative and qualitative perfusion analysis. In this paper, we propose a novel dynamic perfusion representation and aggregation network (DpRAN) for the automatic segmentation of lesions using dynamic CEUS imaging. The core challenge of this work lies in enhancement dynamics modeling of various perfusion areas. Specifically, we divide enhancement features into the two scales: short-range enhancement patterns and long-range evolution tendency. To effectively represent real-time enhancement characteristics and aggregate them in a global view, we introduce the perfusion excitation (PE) gate and cross-attention temporal aggregation (CTA) module, respectively. Different from the common temporal fusion methods, we also introduce an uncertainty estimation strategy to assist the model to locate the critical enhancement point first, in which a relatively distinguished enhancement pattern is displayed. The segmentation performance of our DpRAN method is validated on our collected CEUS datasets of thyroid nodules. We obtain the mean dice coefficient (DSC) and intersection of union (IoU) of 0.794 and 0.676, respectively. Superior performance demonstrates its efficacy to capture distinguished enhancement characteristics for lesion recognition. Code is available https://github.com/wanpeng16/DpRAN.
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Hu J, Tang X, Guo R, Wang Y, Shen H, Wang H, Yao Y, Cai X, Yu Z, Dong G, Liang F, Cao J, Zeng L, Su M, Kong W, Liu L, Huang W, Cai C, Xie Y, Mao W. 37P Pralsetinib in acquired RET fusion-positive advanced non-small cell lung cancer patients after resistance to EGFR/ALK-TKI: A China multi-center, real-world data (RWD) analysis. J Thorac Oncol 2023. [DOI: 10.1016/s1556-0864(23)00291-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
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Chong B, Jayabaskaran J, Ruban J, Goh R, Chin YH, Kong G, Ng CH, Foo R, Chai P, Kong W, Poh KK, Chan MY, Mehta A, Dimitriadis GK, Chew NWS. Effects of epicardial adipose tissue volume and thickness assessed by computed tomography and echocardiography on cardiovascular and cerebrovascular outcomes: a systematic review and meta-analysis. Eur Heart J 2023. [DOI: 10.1093/eurheartj/ehac779.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: None.
Background
Epicardial adipose tissue (EAT) has garnered attention as a potential imaging biomarker for the risk stratification of cardiovascular diseases (CVD). However, the prognostic utility of EAT due to inter-ethnic differences and imaging modality (computed tomography (CT) or transthoracic echocardiography (TTE)) remains undetermined.
Purpose
To evaluate the effect of EAT volume and thickness on cardiovascular and cerebrovascular outcomes. We also aim to compare the prognostic utility between CT volumetric and TTE thickness quantification; and provide consolidated data on the heterogeneity in EAT measurements across different ethnic groups.
Methods
Medline and Embase databases were searched from inception till 16 May 2022 for studies that measured EAT volume or thickness of adult patients at baseline and reported follow-up data on outcomes of interest. Outcomes included MACE, all-cause mortality, cardiac death, myocardial infarction (MI), coronary revascularisation, atrial fibrillation (AF), and stroke. Statistical analyses were conducted on Review Manager 5.4.1 to obtain unadjusted and adjusted hazard ratios (HR) and odds ratios (OR) with the results presented on forest plots.
Results
Twenty-nine studies comprising 19709 patients were included in our analysis. Increased EAT thickness and volume were associated with higher risks of MACE (adjusted HR [aHR] 1.46, 95%CI 1.25–1.71, p<0.001), cardiac death (OR 2.53, 95%CI 1.17–5.44, p=0.020), MI (OR 2.63, 95%CI 1.39–4.96, p=0.003), coronary revascularisation (OR 2.99, 95%CI 1.64–5.44, p<0.001), AF (aOR 4.04, 95%CI 3.06–5.32, p<0.001), and stroke (HR 1.02, 95%CI 1.01–1.03, p<0.001). CT-volumetric quantification of EAT conferred a larger MACE risk (aHR 1.79, 95%CI 1.47–2.17, p<0.001) compared to TTE thickness quantification (aHR 1.20, 95%CI 1.09–1.32, p<0.001). Studies originating from North America (HR 1.91, 95%CI 1.26–2.89, p=0.002) and Asia (HR 1.60, 95%CI 1.09–2.36, p=0.020) demonstrated a significantly higher risk of MACE with increased EAT thickness and volume. However, this significance was not seen in European studies (HR 1.48, 95%CI 0.99–2.20, p=0.060). Subgroup differences were also noted across the studies’ countries of origin when analysing the association of EAT and MI (p=0.020). European studies reported a higher magnitude of MI risk associated with higher EAT thickness and volume (OR 5.28, 95%CI 2.34–11.95, p<0.001) as compared to Asian studies (OR 1.75, 95%CI 1.05–2.92, p=0.030). No differences were noted across other outcomes in the subgroup comparisons by geographical region and between CT and TTE quantification of EAT.
Conclusion
The utility of EAT as an imaging biomarker for predicting and prognosticating CVD is promising. Future efforts to harmonise the EAT parameter thresholds, based on the type of imaging modality and the target population’s ethnic characteristics, will be the next important step before including EAT in CVD prediction models.
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Affiliation(s)
- B Chong
- National University of Singapore , Singapore , Singapore
| | - J Jayabaskaran
- National University of Singapore , Singapore , Singapore
| | - J Ruban
- National University of Singapore , Singapore , Singapore
| | - R Goh
- National University of Singapore , Singapore , Singapore
| | - Y H Chin
- National University of Singapore , Singapore , Singapore
| | - G Kong
- National University of Singapore , Singapore , Singapore
| | - C H Ng
- National University of Singapore , Singapore , Singapore
| | - R Foo
- National University Heart Centre, Department of Cardiology , Singapore , Singapore
| | - P Chai
- National University Heart Centre, Department of Cardiology , Singapore , Singapore
| | - W Kong
- National University Heart Centre, Department of Cardiology , Singapore , Singapore
| | - K K Poh
- National University Heart Centre, Department of Cardiology , Singapore , Singapore
| | - M Y Chan
- National University Heart Centre, Department of Cardiology , Singapore , Singapore
| | - A Mehta
- VCU Health Pauley Heart Center, Division of Cardiology , Richmond , United States of America
| | - G K Dimitriadis
- King's College Hospital NHS Foundation Trust, Department of Endocrinology , London , United Kingdom of Great Britain & Northern Ireland
| | - N W S Chew
- National University Heart Centre, Department of Cardiology , Singapore , Singapore
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Jeong Y, Kong W, Lu T, Irudayaraj J. Soft hydrogel-shell confinement systems as bacteria-based bioactuators and biosensors. Biosens Bioelectron 2023; 219:114809. [PMID: 36274428 DOI: 10.1016/j.bios.2022.114809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 09/25/2022] [Accepted: 10/11/2022] [Indexed: 11/06/2022]
Abstract
Genetically engineered (GE) bacteria were utilized for developing functional systems upon confinement within a restricted space. Use of natural soft hydrogel such as alginate, gelatin, and agarose, have been investigated as promising approaches to design functional architectures. Nevertheless, a challenge is to develop functional microenvironments that support biofilm-like confinement in a relevant three-dimensional (3D) format for long-term studies. We demonstrate a natural soft hydrogel bioactuator based on alginate core-shell structures (0.25-2 mm core and 50-300 μm shell thickness) that enables 3D microbial colonization upon confinement with high cell density. Specially, our study evaluates the efficiency of bacteria-functional system by recapitulating various GE bacteria which can produce common reporter proteins, to demonstrate their actuator functions as well as dynamic pair-wise interactions. The structural design of the hydrogel can endure continued growth of various bacteria colonies within the confined space for over 10 days. The total amount of cellular biomass upon hydrogel-shell confinement was increased 5-fold compared to conventional techniques without hydrogel-shell. Furthermore, the enzymatic activity increased 3.8-fold and bioluminescence signal by 8-fold compared to the responses from conventional hydrogel systems. The conceptualized platform and our workflow represent a reliable strategy with core-shell structures to develop artificial hydrogel habitats as bacteria-based functional systems for bioactuation.
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Affiliation(s)
- Yoon Jeong
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Cancer Center at Illinois, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Wentao Kong
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Carl R. Woese Institute for Genomic Biology and Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Ting Lu
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Carl R. Woese Institute for Genomic Biology and Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Joseph Irudayaraj
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Cancer Center at Illinois, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Carl R. Woese Institute for Genomic Biology and Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
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Nadarajah R, Ludman P, Appelman Y, Brugaletta S, Budaj A, Bueno H, Huber K, Kunadian V, Leonardi S, Lettino M, Milasinovic D, Gale CP, Budaj A, Dagres N, Danchin N, Delgado V, Emberson J, Friberg O, Gale CP, Heyndrickx G, Iung B, James S, Kappetein AP, Maggioni AP, Maniadakis N, Nagy KV, Parati G, Petronio AS, Pietila M, Prescott E, Ruschitzka F, Van de Werf F, Weidinger F, Zeymer U, Gale CP, Beleslin B, Budaj A, Chioncel O, Dagres N, Danchin N, Emberson J, Erlinge D, Glikson M, Gray A, Kayikcioglu M, Maggioni AP, Nagy KV, Nedoshivin A, Petronio AP, Roos-Hesselink JW, Wallentin L, Zeymer U, Popescu BA, Adlam D, Caforio ALP, Capodanno D, Dweck M, Erlinge D, Glikson M, Hausleiter J, Iung B, Kayikcioglu M, Ludman P, Lund L, Maggioni AP, Matskeplishvili S, Meder B, Nagy KV, Nedoshivin A, Neglia D, Pasquet AA, Roos-Hesselink JW, Rossello FJ, Shaheen SM, Torbica A, Gale CP, Ludman PF, Lettino M, Bueno H, Huber K, Leonardi S, Budaj A, Milasinovic (Serbia) D, Brugaletta S, Appelman Y, Kunadian V, Al Mahmeed WAR, Kzhdryan H, Dumont C, Geppert A, Bajramovic NS, Cader FA, Beauloye C, Quesada D, Hlinomaz O, Liebetrau C, Marandi T, Shokry K, Bueno H, Kovacevic M, Crnomarkovic B, Cankovic M, Dabovic D, Jarakovic M, Pantic T, Trajkovic M, Pupic L, Ruzicic D, Cvetanovic D, Mansourati J, Obradovic I, Stankovic M, Loh PH, Kong W, Poh KK, Sia CH, Saw K, Liška D, Brozmannová D, Gbur M, Gale CP, Maxian R, Kovacic D, Poznic NG, Keric T, Kotnik G, Cercek M, Steblovnik K, Sustersic M, Cercek AC, Djokic I, Maisuradze D, Drnovsek B, Lipar L, Mocilnik M, Pleskovic A, Lainscak M, Crncic D, Nikojajevic I, Tibaut M, Cigut M, Leskovar B, Sinanis T, Furlan T, Grilj V, Rezun M, Mateo VM, Anguita MJF, Bustinza ICM, Quintana RB, Cimadevilla OCF, Fuertes J, Lopez F, Dharma S, Martin MD, Martinez L, Barrabes JA, Bañeras J, Belahnech Y, Ferreira-Gonzalez I, Jordan P, Lidon RM, Mila L, Sambola A, Orvin K, Sionis A, Bragagnini W, Cambra AD, Simon C, Burdeus MV, Ariza-Solé A, Alegre O, Alsina M, Ferrando JIL, Bosch X, Sinha A, Vidal P, Izquierdo M, Marin F, Esteve-Pastor MA, Tello-Montoliu A, Lopez-Garcia C, Rivera-Caravaca JM, Gil-Pérez P, Nicolas-Franco S, Keituqwa I, Farhan HA, Silva L, Blasco A, Escudier JM, Ortega J, Zamorano JL, Sanmartin M, Pereda DC, Rincon LM, Gonzalez P, Casado T, Sadeghipour P, Lopez-Sendon JL, Manjavacas AMI, Marin LAM, Sotelo LR, Rodriguez SOR, Bueno H, Martin R, Maruri R, Moreno G, Moris C, Gudmundsdottir I, Avanzas P, Ayesta A, Junco-Vicente A, Cubero-Gallego H, Pascual I, Sola NB, Rodriguez OA, Malagon L, Martinez-Basterra J, Arizcuren AM, Indolfi C, Romero J, Calleja AG, Fuertes DG, Crespín Crespín M, Bernal FJC, Ojeda FB, Padron AL, Cabeza MM, Vargas CM, Yanes G, Kitai T, Gonzalez MJG, Gonzalez Gonzalez J, Jorge P, De La Fuente B, Bermúdez MG, Perez-Lopez CMB, Basiero AB, Ruiz AC, Pamias RF, Chamero PS, Mirrakhimov E, Hidalgo-Urbano R, Garcia-Rubira JC, Seoane-Garcia T, Arroyo-Monino DF, Ruiz AB, Sanz-Girgas E, Bonet G, Rodríguez-López J, Scardino C, De Sousa D, Gustiene O, Elbasheer E, Humida A, Mahmoud H, Mohamed A, Hamid E, Hussein S, Abdelhameed M, Ali T, Ali Y, Eltayeb M, Philippe F, Ali M, Almubarak E, Badri M, Altaher S, Alla MD, Dellborg M, Dellborg H, Hultsberg-Olsson G, Marjeh YB, Abdin A, Erglis A, Alhussein F, Mgazeel F, Hammami R, Abid L, Bahloul A, Charfeddine S, Ellouze T, Canpolat U, Oksul M, Muderrisoglu H, Popovici M, Karacaglar E, Akgun A, Ari H, Ari S, Can V, Tuncay B, Kaya H, Dursun L, Kalenderoglu K, Tasar O, Kalpak O, Kilic S, Kucukosmanoglu M, Aytekin V, Baydar O, Demirci Y, Gürsoy E, Kilic A, Yildiz Ö, Arat-Ozkan A, Sinan UY, Dagva M, Gungor B, Sekerci SS, Zeren G, Erturk M, Demir AR, Yildirim C, Can C, Kayikcioglu M, Yagmur B, Oney S, Xuereb RG, Sabanoglu C, Inanc IH, Ziyrek M, Sen T, Astarcioglu MA, Kahraman F, Utku O, Celik A, Surmeli AO, Basaran O, Ahmad WAW, Demirbag R, Besli F, Gungoren F, Ingabire P, Mondo C, Ssemanda S, Semu T, Mulla AA, Atos JS, Wajid I, Appelman Y, Al Mahmeed WAR, Atallah B, Bakr K, Garrod R, Makia F, Eldeeb F, Abdekader R, Gomaa A, Kandasamy S, Maruthanayagam R, Nadar SK, Nakad G, Nair R, Mota P, Prior P, Mcdonald S, Rand J, Schumacher N, Abraheem A, Clark M, Coulding M, Qamar N, Turner V, Negahban AQ, Crew A, Hope S, Howson J, Jones S, Lancaster N, Nicholson A, Wray G, Donnelly P, Gierlotka M, Hammond L, Hammond S, Regan S, Watkin R, Papadopoulos C, Ludman P, Hutton K, Macdonald S, Nilsson A, Roberts S, Monteiro S, Garg S, Balachandran K, Mcdonald J, Singh R, Marsden K, Davies K, Desai H, Goddard W, Iqbal N, Chalil S, Dan GA, Galasko G, Assaf O, Benham L, Brown J, Collins S, Fleming C, Glen J, Mitchell M, Preston S, Uttley A, Radovanovic M, Lindsay S, Akhtar N, Atkinson C, Vinod M, Wilson A, Clifford P, Firoozan S, Yashoman M, Bowers N, Chaplin J, Reznik EV, Harvey S, Kononen M, Lopesdesousa G, Saraiva F, Sharma S, Cruddas E, Law J, Young E, Hoye A, Harper P, Balghith M, Rowe K, Been M, Cummins H, French E, Gibson C, Abraham JA, Hobson S, Kay A, Kent M, Wilkinson A, Mohamed A, Clark S, Duncan L, Ahmed IM, Khatiwada D, Mccarrick A, Wanda I, Read P, Afsar A, Rivers V, Theobald T, Cercek M, Bell S, Buckman C, Francis R, Peters G, Stables R, Morgan M, Noorzadeh M, Taylor B, Twiss S, Widdows P, Brozmannová D, Wilkinson V, Black M, Clark A, Clarkson N, Currie J, George L, Mcgee C, Izzat L, Lewis T, Omar Z, Aytekin V, Phillips S, Ahmed F, Mackie S, Oommen A, Phillips H, Sherwood M, Aleti S, Charles T, Jose M, Kolakaluri L, Ingabire P, Karoudi RA, Deery J, Hazelton T, Knight A, Price C, Turney S, Kardos A, Williams F, Wren L, Bega G, Alyavi B, Scaletta D, Kunadian V, Cullen K, Jones S, Kirkup E, Ripley DP, Matthews IG, Mcleod A, Runnett C, Thomas HE, Cartasegna L, Gunarathne A, Burton J, King R, Quinn J, Sobolewska J, Munt S, Porter J, Christenssen V, Leng K, Peachey T, Gomez VN, Temple N, Wells K, Viswanathan G, Taneja A, Cann E, Eglinton C, Hyams B, Jones E, Reed F, Smith J, Beltrano C, Affleck DC, Turner A, Ward T, Wilmshurst N, Stirrup J, Brunton M, Whyte A, Smith S, Murray V, Walker R, Novas V, Weston C, Brown C, Collier D, Curtis K, Dixon K, Wells T, Trim F, Ghosh J, Mavuri M, Barman L, Dumont C, Elliott K, Harrison R, Mallinson J, Neale T, Smith J, Toohie J, Turnbull A, Parker E, Hossain R, Cheeseman M, Balparda H, Hill J, Hood M, Hutchinson D, Mellows K, Pendlebury C, Storey RF, Barker J, Birchall K, Denney H, Housley K, Cardona M, Middle J, Kukreja N, Gati S, Kirk P, Lynch M, Srinivasan M, Szygula J, Baker P, Cruz C, Derigay J, Cigalini C, Lamb K, Nembhard S, Price A, Mamas M, Massey I, Wain J, Delaney J, Junejo S, Martin K, Obaid D, Hoyle V, Brinkworth E, Davies C, Evans D, Richards S, Thomas C, Williams M, Dayer M, Mills H, Roberts K, Goodchild F, Dámaso ES, Greig N, Kundu S, Donaldson D, Tonks L, Beekes M, Button H, Hurford F, Motherwell N, Summers-Wall J, Felmeden D, Tapia V, Keeling P, Sheikh U, Yonis A, Felmeden L, Hughes D, Micklewright L, Summerhayes A, Sutton J, Panoulas V, Prendergast C, Poghosyan K, Rogers P, Barker LN, Batin P, Conway D, Exley D, Fletcher A, Wright J, Nageh T, Hadebe B, Kunhunny S, Mkhitaryan S, Mshengu E, Karthikeyan VJ, Hamdan H, Cooper J, Dandy C, Parkinson V, Paterson P, Reddington S, Taylor T, Tierney C, Adamyan M, Jones KV, Broadley A, Beesley K, Buckley C, Hellyer C, Pippard L, Pitt-Kerby T, Azam J, Hayes C, Freshwater K, Boyadjian S, Johnson L, Mcgill Y, Redfearn H, Russell M, Alyavi A, Alyavi B, Uzokov J, Hayrapetyan H, Azaryan K, Tadevosyan M, Poghosyan H, Kzhdryan H, Vardanyan A, Huber K, Geppert A, Ahmed A, Weidinger F, Derntl M, Hasun M, Schuh-Eiring T, Riegler L, Haq MM, Cader FA, Dewan MAM, Fatema ME, Hasan AS, Islam MM, Khandoker F, Mayedah R, Nizam SU, Azam MG, Arefin MM, Jahan J, Schelfaut D, De Raedt H, Wouters S, Aerts S, Batjoens H, Beauloye C, Dechamps M, Pierard S, Van Caenegem O, Sinnaeve F, Claeys MJ, Snepvangers M, Somers V, Gevaert S, Schaubroek H, Vervaet P, Buysse M, Renders F, Dumoulein M, Hiltrop N, De Coninck M, Naessens S, Senesael I, Hoffer E, Pourbaix S, Beckers J, Dugauquier C, Jacquet S, Malmendier D, Massoz M, Evrard P, Collard L, Brunner P, Carlier S, Blockmans M, Mayne D, Timiras E, Guédès A, Demeure F, Hanet C, Domange J, Jourdan K, Begic E, Custovic F, Dozic A, Hrvat E, Kurbasic I, Mackic D, Subo A, Durak-Nalbantic A, Dzubur A, Rebic D, Hamzic-Mehmedbasic A, Redzepovic A, Djokic-Vejzovic A, Hodzic E, Hujdur M, Musija E, Gljiva-Gogic Z, Serdarevic N, Bajramovic NS, Brigic L, Halilcevic M, Cibo M, Hadžibegic N, Kukavica N, Begic A, Iglica A, Osmanagic A, Resic N, Grgurevic MV, Zvizdic F, Pojskic B, Mujaric E, Selimovic H, Ejubovic M, Pojskic L, Stimjanin E, Sut M, Zapata PS, Munoz CG, Andrade LAF, Upegui MPT, Perez LE, Chavarria J, Quesada D, Alvarado K, Zaputovic L, Tomulic V, Gobic D, Jakljevic T, Lulic D, Bacic G, Bastiancic L, Avraamides P, Eftychiou C, Eteocleous N, Ioannou A, Lambrianidi C, Drakomathioulakis M, Groch L, Hlinomaz O, Rezek M, Semenka J, Sitar J, Beranova M, Kramarikova P, Pesl L, Sindelarova S, Tousek F, Warda HM, Ghaly I, Habiba S, Habib A, Gergis MN, Bahaa H, Samir A, Taha HSE, Adel M, Algamal HM, Mamdouh M, Shaker AF, Shokry K, Konsoah A, Mostafa AM, Ibrahim A, Imam A, Hafez B, Zahran A, Abdelhamid M, Mahmoud K, Mostafa A, Samir A, Abdrabou M, Kamal A, Sallam S, Ali A, Maghraby K, Atta AR, Saad A, Ali M, Lotman EM, Lubi R, Kaljumäe H, Uuetoa T, Kiitam U, Durier C, Ressencourt O, El Din AA, Guiatni A, Bras ML, Mougenot E, Labeque JN, Banos JL, Capendeguy O, Mansourati J, Fofana A, Augagneur M, Bahon L, Pape AL, Batias-Moreau L, Fluttaz A, Good F, Prieur F, Boiffard E, Derien AS, Drapeau I, Roy N, Perret T, Dubreuil O, Ranc S, Rio S, Bonnet JL, Bonnet G, Cuisset T, Deharo P, Mouret JP, Spychaj JC, Blondelon A, Delarche N, Decalf V, Guillard N, Hakme A, Roger MP, Biron Y, Druelles P, Loubeyre C, Lucon A, Hery P, Nejjari M, Digne F, Huchet F, Neykova A, Tzvetkov B, Larrieu M, Quaino G, Armangau P, Sauguet A, Bonfils L, Dumonteil N, Fajadet J, Farah B, Honton B, Monteil B, Philippart R, Tchetche D, Cottin M, Petit F, Piquart A, Popovic B, Varlot J, Maisuradze D, Sagirashvili E, Kereselidze Z, Totladze L, Ginturi T, Lagvilava D, Hamm C, Liebetrau C, Haas M, Hamm C, Koerschgen T, Weferling M, Wolter JS, Maier K, Nickenig G, Sedaghat A, Zachoval C, Lampropoulos K, Mpatsouli A, Sakellaropoulou A, Tyrovolas K, Zibounoumi N, Argyropoulos K, Toulgaridis F, Kolyviras A, Tzanis G, Tzifos V, Milkas A, Papaioannou S, Kyriazopoulos K, Pylarinou V, Kontonassakis I, Kotakos C, Kourgiannidis G, Ntoliou P, Parzakonis N, Pipertzi A, Sakalidis A, Ververeli CL, Kafkala K, Sinanis T, Diakakis G, Grammatikopoulos K, Papoutsaki E, Patialiatos T, Mamaloukaki M, Papadaki ST, Kanellos IE, Antoniou A, Tsinopoulos G, Goudis C, Giannadaki M, Daios S, Petridou M, Skantzis P, Koukis P, Dimitriadis F, Savvidis M, Styliadis I, Sachpekidis V, Pilalidou A, Stamatiadis N, Fotoglidis A, Karakanas A, Ruzsa Z, Becker D, Nowotta F, Gudmundsdottir I, Libungan B, Skuladottir FB, Halldorsdottir H, Shetty R, Iyengar S, Bs C, G S, Lakshmana S, S R, Tripathy N, Sinha A, Choudhary B, Kumar A, Kumar A, Raj R, Roy RS, Dharma S, Siswanto BB, Farhan HA, Yaseen IF, Al-Zaidi M, Dakhil Z, Amen S, Rasool B, Rajeeb A, Amber K, Ali HH, Al-Kinani T, Almyahi MH, Al-Obaidi F, Masoumi G, Sadeghi M, Heshmat-Ghahdarijani K, Roohafza H, Sarrafzadegan N, Shafeie M, Teimouri-Jervekani Z, Noori F, Kyavar M, Sadeghipour P, Firouzi A, Alemzadeh-Ansari MJ, Ghadrdoost B, Golpira R, Ghorbani A, Ahangari F, Salarifar M, Jenab Y, Biria A, Haghighi S, Mansouri P, Yadangi S, Kornowski R, Orvin K, Eisen A, Oginetz N, Vizel R, Kfir H, Pasquale GD, Casella G, Cardelli LS, Filippini E, Zagnoni S, Donazzan L, Ermacora D, Indolfi C, Polimeni A, Curcio A, Mongiardo A, De Rosa S, Sorrentino S, Spaccarotella C, Landolina M, Marino M, Cacucci M, Vailati L, Bernabò P, Montisci R, Meloni L, Marchetti MF, Biddau M, Garau E, Barbato E, Morisco C, Strisciuglio T, Canciello G, Lorenzoni G, Casu G, Merella P, Novo G, D'Agostino A, Di Lisi D, Di Palermo A, Evola S, Immordino F, Rossetto L, Spica G, Pavan D, Mattia AD, Belfiore R, Grandis U, Vendrametto F, Spagnolo C, Carniel L, Sonego E, Gaudio C, Barillà F, Biccire FG, Bruno N, Ferrari I, Paravati V, Torromeo C, Galasso G, Peluso A, Prota C, Radano I, Benvenga RM, Ferraioli D, Anselmi M, Frigo GM, Sinagra G, Merlo M, Perkan A, Ramani F, Altinier A, Fabris E, Rinaldi M, Usmiani T, Checco L, Frea S, Mussida M, Matsukawa R, Sugi K, Kitai T, Furukawa Y, Masumoto A, Miyoshi Y, Nishino S, Assembekov B, Amirov B, Chernokurova Y, Ibragimova F, Mirrakhimov E, Ibraimova A, Murataliev T, Radzhapova Z, Uulu ES, Zhanyshbekova N, Zventsova V, Erglis A, Bondare L, Zaliunas R, Gustiene O, Dirsiene R, Marcinkeviciene J, Sakalyte G, Virbickiene A, Baksyte G, Bardauskiene L, Gelmaniene R, Salkauskaite A, Ziubryte G, Kupstyte-Kristapone N, Badariene J, Balciute S, Kapleriene L, Lizaitis M, Marinskiene J, Navickaite A, Pilkiene A, Ramanauskaite D, Serpytis R, Silinskiene D, Simbelyte T, Staigyte J, Philippe F, Degrell P, Camus E, Ahmad WAW, Kassim ZA, Xuereb RG, Buttigieg LL, Camilleri W, Pllaha E, Xuereb S, Popovici M, Ivanov V, Plugaru A, Moscalu V, Popovici I, Abras M, Ciobanu L, Litvinenco N, Fuior S, Dumanschi C, Ivanov M, Danila T, Grib L, Filimon S, Cardaniuc L, Batrinac A, Tasnic M, Cozma C, Revenco V, Sorici G, Dagva M, Choijiljav G, Dandar E, Khurelbaatar MU, Tsognemekh B, Appelman Y, Den Hartog A, Kolste HJT, Van Den Buijs D, Van'T Hof A, Pustjens T, Houben V, Kasperski I, Ten Berg J, Azzahhafi J, Bor W, Yin DCP, Mbakwem A, Amadi C, Kushimo O, Kilasho M, Oronsaye E, Bakracheski N, Bashuroska EK, Mojsovska V, Tupare S, Dejan M, Jovanoska J, Razmoski D, Marinoski T, Antovski A, Jovanovski Z, Kocho S, Markovski R, Ristovski V, Samir AB, Biserka S, Kalpak O, Peovska IM, Taleska BZ, Pejkov H, Busljetik O, Zimbakov Z, Grueva E, Bojovski I, Tutic M, Poposka L, Vavlukis M, Al-Riyami A, Nadar SK, Abdelmottaleb W, Ahmed S, Mujtaba MS, Al-Mashari S, Al-Riyami H, Laghari AH, Faheem O, Ahmed SW, Qamar N, Furnaz S, Kazmi K, Saghir T, Aneel A, Asim A, Madiha F, Sobkowicz B, Tycinska A, Kazimierczyk E, Szyszkowska A, Mizia-Stec K, Wybraniec M, Bednarek A, Glowacki K, Prokopczuk J, Babinski W, Blachut A, Kosiak M, Kusinska A, Samborski S, Stachura J, Szastok H, Wester A, Bartoszewska D, Sosnowska-Pasiarska B, Krzysiek M, Legutko J, Nawrotek B, Kasprzak JD, Klosinska M, Wiklo K, Kurpesa M, Rechcinski T, Cieslik-Guerra U, Gierlotka M, Bugajski J, Feusette P, Sacha J, Przybylo P, Krzesinski P, Ryczek R, Karasek A, Kazmierczak-Dziuk A, Mielniczuk M, Betkier-Lipinska K, Roik M, Labyk A, Krakowian M, Machowski M, Paczynska M, Potepa M, Pruszczyk P, Budaj A, Ambroziak M, Omelanczuk-Wiech E, Torun A, Opolski G, Glowczynska R, Fojt A, Kowalik R, Huczek Z, Jedrzejczyk S, Roleder T, Brust K, Gasior M, Desperak P, Hawranek M, Farto-Abreu P, Santos M, Baptista S, Brizida L, Faria D, Loureiro J, Magno P, Monteiro C, Nédio M, Tavares J, Sousa C, Almeida I, Almeida S, Miranda H, Santos H, Santos AP, Goncalves L, Monteiro S, Baptista R, Ferreira C, Ferreira J, Goncalves F, Lourenço C, Monteiro P, Picarra B, Santos AR, Guerreiro RA, Carias M, Carrington M, Pais J, de Figueiredo MP, Rocha AR, Mimoso J, De Jesus I, Fernandes R, Guedes J, Mota T, Mendes M, Ferreira J, Tralhão A, Aguiar CT, Strong C, Da Gama FF, Pais G, Timóteo AT, Rosa SAO, Mano T, Reis J, Selas M, Mendes DE, Satendra M, Pinto P, Queirós C, Oliveira I, Reis L, Cruz I, Fernandes R, Torres S, Luz A, Campinas A, Costa R, Frias A, Oliveira M, Martins V, Castilho B, Coelho C, Moura AR, Cotrim N, Dos Santos RC, Custodio P, Duarte R, Gomes R, Matias F, Mendonca C, Neiva J, Rabacal C, Almeida AR, Caeiro D, Queiroz P, Silva G, Pop-Moldovan AL, Darabantiu D, Mercea S, Dan GA, Dan AR, Dobranici M, Popescu RA, Adam C, Sinescu CJ, Andrei CL, Brezeanu R, Samoila N, Baluta MM, Pop D, Tomoaia R, Istratoaie O, Donoiu I, Cojocaru A, Oprita OC, Rocsoreanu A, Grecu M, Ailoaei S, Popescu MI, Cozma A, Babes EE, Rus M, Ardelean A, Larisa R, Moisi M, Ban E, Buzle A, Filimon G, Dobreanu D, Lupu S, Mitre A, Rudzik R, Sus I, Opris D, Somkereki C, Mornos C, Petrescu L, Betiu A, Volcescu A, Ioan O, Luca C, Maximov D, Mosteoru S, Pascalau L, Roman C, Brie D, Crisan S, Erimescu C, Falnita L, Gaita D, Gheorghiu M, Levashov S, Redkina M, Novitskii N, Dementiev E, Baglikov A, Zateyshchikov D, Zubova E, Rogozhina A, Salikov A, Nikitin I, Reznik EV, Komissarova MS, Shebzukhova M, Shitaya K, Stolbova S, Larina V, Akhmatova F, Chuvarayan G, Arefyev MN, Averkov OV, Volkova AL, Sepkhanyan MS, Vecherko VI, Meray I, Babaeva L, Goreva L, Pisaryuk A, Potapov P, Teterina M, Ageev F, Silvestrova G, Fedulaev Y, Pinchuk T, Staroverov I, Kalimullin D, Sukhinina T, Zhukova N, Ryabov V, Kruchinkina E, Vorobeva D, Shevchenko I, Budyak V, Elistratova O, Fetisova E, Islamov R, Ponomareva E, Khalaf H, Shaimaa AA, Kamal W, Alrahimi J, Elshiekh A, Balghith M, Ahmed A, Attia N, Jamiel AA, Potpara T, Marinkovic M, Mihajlovic M, Mujovic N, Kocijancic A, Mijatovic Z, Radovanovic M, Matic D, Milosevic A, Savic L, Subotic I, Uscumlic A, Zlatic N, Antonijevic J, Vesic O, Vucic R, Martinovic SS, Kostic T, Atanaskovic V, Mitic V, Stanojevic D, Petrovic M. Cohort profile: the ESC EURObservational Research Programme Non-ST-segment elevation myocardial infraction (NSTEMI) Registry. Eur Heart J Qual Care Clin Outcomes 2022; 9:8-15. [PMID: 36259751 DOI: 10.1093/ehjqcco/qcac067] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 10/11/2022] [Indexed: 11/12/2022]
Abstract
AIMS The European Society of Cardiology (ESC) EURObservational Research Programme (EORP) Non-ST-segment elevation myocardial infarction (NSTEMI) Registry aims to identify international patterns in NSTEMI management in clinical practice and outcomes against the 2015 ESC Guidelines for the management of acute coronary syndromes in patients presenting without ST-segment-elevation. METHODS AND RESULTS Consecutively hospitalised adult NSTEMI patients (n = 3620) were enrolled between 11 March 2019 and 6 March 2021, and individual patient data prospectively collected at 287 centres in 59 participating countries during a two-week enrolment period per centre. The registry collected data relating to baseline characteristics, major outcomes (in-hospital death, acute heart failure, cardiogenic shock, bleeding, stroke/transient ischaemic attack, and 30-day mortality) and guideline-recommended NSTEMI care interventions: electrocardiogram pre- or in-hospital, pre-hospitalization receipt of aspirin, echocardiography, coronary angiography, referral to cardiac rehabilitation, smoking cessation advice, dietary advice, and prescription on discharge of aspirin, P2Y12 inhibition, angiotensin converting enzyme inhibitor (ACEi)/angiotensin receptor blocker (ARB), beta-blocker, and statin. CONCLUSION The EORP NSTEMI Registry is an international, prospective registry of care and outcomes of patients treated for NSTEMI, which will provide unique insights into the contemporary management of hospitalised NSTEMI patients, compliance with ESC 2015 NSTEMI Guidelines, and identify potential barriers to optimal management of this common clinical presentation associated with significant morbidity and mortality.
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Affiliation(s)
- Ramesh Nadarajah
- Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, LS2 9JT Leeds, UK.,Leeds Institute of Data Analytics, University of Leeds, LS2 9JT Leeds, UK.,Department of Cardiology, Leeds Teaching Hospitals NHS Trust, LS1 3EX Leeds, UK
| | - Peter Ludman
- Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK
| | - Yolande Appelman
- Department of Cardiology, Amsterdam UMC-Vrije Universiteit, Amsterdam Cardiovascular Sciences, Amsterdam, Netherlands
| | - Salvatore Brugaletta
- Hospital Clinic de Barcelona, Barcelona, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - Andrzej Budaj
- Department of Cardiology, Center of Postgraduate Medical Education, Grochowski Hospital, Warsaw, Poland
| | - Hector Bueno
- Cardiology Department, Hospital Universitario 12 de Octubre and Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain.,Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.,Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain
| | - Kurt Huber
- 3rd Medical Department, Cardiology and Intensive Care Medicine, Clinic Ottakring (Wilhelminenhospital), Vienna, Austria.,Medical Faculty, Sigmund Freud University, Vienna, Austria
| | - Vijay Kunadian
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.,Cardiothoracic Centre, Freeman Hospital, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Sergio Leonardi
- University of Pavia, Pavia, Italy.,Fondazione IRCCS Policlinico S.Matteo, Pavia, Italy
| | - Maddalena Lettino
- Cardio-Thoracic and Vascular Department, San Gerardo Hospital, ASST-Monza, Monza, Italy
| | - Dejan Milasinovic
- Department of Cardiology, University Clinical Center of Serbia and Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Chris P Gale
- Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, LS2 9JT Leeds, UK.,Leeds Institute of Data Analytics, University of Leeds, LS2 9JT Leeds, UK.,Department of Cardiology, Leeds Teaching Hospitals NHS Trust, LS1 3EX Leeds, UK
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Chew N, Ng CH, Kong G, Chin YH, Lim O, Lim WH, Dalakoti M, Khoo CM, Kong W, Poh KK, Foo R, Lee CH, Chan MY, Muthiah M, Loh PH. Metabolic associated fatty liver disease increases risk of adverse events after acute coronary syndrome. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.1414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Metabolic Associated Fatty Liver Disease (MAFLD) was recently introduced as an alternative definition for fatty liver, that has been linked to an increased risk of systemic end-organ damage. However, current studies have not examined the impact of MAFLD on patients presenting with acute coronary syndrome (ACS). Here, we present a retrospective analysis on the short and long-term outcomes of ACS patients with MAFLD.
Methods
A retrospective analysis was conducted in a tertiary care centre. Hepatic steatosis and fibrosis was examined with hepatic steatosis index and fibrosis-4 (FIB-4) index. The primary and secondary outcomes of the analysis were long term all-cause mortality, and in-hospital all-cause mortality, stroke, heart failure and cardiogenic shock respectively. Adjusted analysis was conducted for primary and secondary outcomes with covariates including age, sex, race, type of ACS and previous myocardial infarction.
Results
A total of 5770 patients were included in the analysis, and 21% of ACS patients had concomitant MAFLD. MAFLD resulted in a 23% increase in long-term all-cause mortality compared to non-MAFLD (HR: 1.230, CI: 1.065 to 1.420, p=0.005). MAFLD increased the risk of in-hospital mortality, stroke, heart failure and cardiogenic shock compared to non-MAFLD. A sensitivity analysis conducted based on MAFLD with advance fibrosis, chronic kidney disease and diabetes also demonstrated significantly increased effect size magnitude of all-cause mortality, compared to non-MAFLD.
Conclusion
MAFLD represents an encapsulation of metabolism dysregulation and has been associated with increased risk of systematic disease. The present study shows that MAFLD is associated with significantly increased adverse prognostic outcomes after ACS compared to non-MAFLD. An increase in awareness of MAFLD is required beyond the field of hepatology for improvements in multidisciplinary care and management.
Funding Acknowledgement
Type of funding sources: None.
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Affiliation(s)
- N Chew
- National University Heart Centre , Singapore , Singapore
| | - C H Ng
- National University Health System , Singapore , Singapore
| | - G Kong
- National University Health System , Singapore , Singapore
| | - Y H Chin
- National University Health System , Singapore , Singapore
| | - O Lim
- National University of Singapore , Singapore , Singapore
| | - W H Lim
- National University of Singapore , Singapore , Singapore
| | - M Dalakoti
- National University of Singapore , Singapore , Singapore
| | - C M Khoo
- National University Health System , Singapore , Singapore
| | - W Kong
- National University Heart Centre , Singapore , Singapore
| | - K K Poh
- National University Heart Centre , Singapore , Singapore
| | - R Foo
- National University Heart Centre , Singapore , Singapore
| | - C H Lee
- National University Heart Centre , Singapore , Singapore
| | - M Y Chan
- National University Heart Centre , Singapore , Singapore
| | - M Muthiah
- National University Health System , Singapore , Singapore
| | - P H Loh
- National University Heart Centre , Singapore , Singapore
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Chew NWS, Zhang A, Koh S, Ong JL, Kong G, Lim O, Kuntjoro I, Kong W, Low A, Lee CH, Chan MY, Yeo TC, Tan HC, Poh KK, Loh PH. Higher long-term mortality in patients with concomitant acute coronary syndrome and aortic stenosis. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.1417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Aortic stenosis (AS) and acute coronary syndrome (ACS) share similar cardiovascular risk factors, and their concomitant presentation is increasing in incidence with the aging population. Yet literature regarding the prognosis of patients with concomitant ACS and AS remains scarce.
Methods
This retrospective cohort study examined consecutive patients presenting with ACS (ST-segment elevation myocardial infarction [STEMI] and non-STEMI [NSTEMI]) and concomitant AS between 1 January 2011 and 31 March 2021 in a tertiary hospital. The cohort was divided into mild, moderate and severe AS based on index echocardiogram. The primary outcome was all-cause mortality. Kaplan-Meier curves were constructed to compare all-cause mortality among the three groups of patients, based on ACS type and left ventricular ejection fraction (LVEF). Multivariable Cox regression was performed to identify independent predictors of all-cause mortality.
Results
Of a total of 563 patients, 264 had mild (46.9%), 193 moderate (34.3%) and 106 severe AS (18.8%). The mean follow-up duration was 2.5 (± 2.4) years. Majority of patients (72.5%) presented with NSTEMI. Patients with moderate and severe AS had higher rates of all-cause mortality compared to those with mild AS (49.7% vs. 51.4% vs. 35.6% respectively, p=0.002). Concomitant moderate (HR 1.439, 95% CI 1.012–2.048, p=0.043) and severe AS (HR 1.844, 95% CI 1.159–2.933, p=0.010) were independent predictors of all-cause mortality after adjusting for age, gender, LVEF, ACS type, chronic kidney disease, diabetes, hypertension, coronary artery bypass grafting and aortic valve replacement as a time-dependent variable. The Kaplan-Meier curves demonstrated excess mortality in moderate and severe AS, compared to the mild AS group (p<0.001), with similar survival trends observed in the STEMI and the NSTEMI groups, as well as those with preserved LVEF.
Conclusion
Regardless of the ACS presentation type, long-term excess mortality in those with concomitant moderate or severe AS was observed. The adverse prognosis typically observed in patients with concomitant severe AS, in the setting of ACS, extends to patients with moderate AS.
Funding Acknowledgement
Type of funding sources: None.
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Affiliation(s)
- N W S Chew
- National University Heart Centre , Singapore , Singapore
| | - A Zhang
- National University Heart Centre , Singapore , Singapore
| | - S Koh
- National University Heart Centre , Singapore , Singapore
| | - J L Ong
- National University Heart Centre , Singapore , Singapore
| | - G Kong
- National University Heart Centre , Singapore , Singapore
| | - O Lim
- National University Heart Centre , Singapore , Singapore
| | - I Kuntjoro
- National University Heart Centre , Singapore , Singapore
| | - W Kong
- National University Heart Centre , Singapore , Singapore
| | - A Low
- National University Heart Centre , Singapore , Singapore
| | - C H Lee
- National University Heart Centre , Singapore , Singapore
| | - M Y Chan
- National University Heart Centre , Singapore , Singapore
| | - T C Yeo
- National University Heart Centre , Singapore , Singapore
| | - H C Tan
- National University Heart Centre , Singapore , Singapore
| | - K K Poh
- National University Heart Centre , Singapore , Singapore
| | - P H Loh
- National University Heart Centre , Singapore , Singapore
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24
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Chew N, Zhang A, Kong G, Lee KL, Ng CH, Chong B, Ngiam N, Loh PH, Kuntjoro I, Wong R, Kong W, Yeo TC, Poh KK. Prognostically distinct phenotypes of metabolic health beyond obesity in aortic stenosis. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.1608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Whilst current evidence are in favour of metabolic health and non-obesity in the reduction of incident cardiovascular disease, little is known regarding the prognosis across the metabolic phenotypes once cardiovascular disease occurs. This study examined the prognosis of patients with significant aortic stenosis (AS) based on the presence of metabolic health and obesity.
Methods
This retrospective cohort on consecutive patients presenting with moderate-to-severe AS to a tertiary hospital between 2010 and 2015. Patients were allocated into 4 groups based on obesity and metabolic health: metabolically healthy obese (MHO), metabolically healthy non-obese (MHNO), metabolically unhealthy obese (MUO) and metabolically unhealthy non-obese (MUNO). Metabolic health was defined in accordance to Program Adult Treatment Panel III criteria. The primary outcome was all-cause mortality. Cox regression examined independent associations between mortality and metabolic phenotypes, adjusting for aortic valve area, ejection fraction, age, sex, chronic kidney disease and AVR as a time-dependent covariate.
Results
Of 727 patients, the majority (51.6%) were MUNO, followed by MUO (32.7%), MHNO (11.4%), and MHO (4.3%). MHNO had the highest mortality (43.0%), followed by the MUNO (37.5%), MUO (30.0%) and MHO (6.9%) groups (p=0.001). Compared to MHNO, MHO (HR 0.159, 95% CI 0.038–0.668, p=0.012) and MUO (HR 0.614, 95% CI 0.403–0.937, p=0.024) were independently associated with lower all-cause mortality rates, after adjusting for confounders. In obese patients, metabolic health had favourable survival compared to metabolically unhealthy (p=0.015), but this protective impact of metabolic health was not observed in overweight or normal weight individuals. Obesity had favourable survival compared to overweight and normal weight, in both metabolically health (p=0.002) and unhealthy (p=0.007) patients,
Conclusion
MHO patients with AS have the most favourable prognosis whilst the seemingly healthy MHNO group had the worst survival. There should be a paradigm shift towards prioritising metabolic health rather than weight reduction in patients with significant AS.
Funding Acknowledgement
Type of funding sources: None.
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Affiliation(s)
- N Chew
- National University Heart Centre , Singapore , Singapore
| | - A Zhang
- National University Health System , Singapore , Singapore
| | - G Kong
- National University of Singapore , Singapore , Singapore
| | - K L Lee
- National University of Singapore , Singapore , Singapore
| | - C H Ng
- National University of Singapore , Singapore , Singapore
| | - B Chong
- National University of Singapore , Singapore , Singapore
| | - N Ngiam
- National University Health System , Singapore , Singapore
| | - P H Loh
- National University Heart Centre , Singapore , Singapore
| | - I Kuntjoro
- National University Heart Centre , Singapore , Singapore
| | - R Wong
- National University Heart Centre , Singapore , Singapore
| | - W Kong
- National University Heart Centre , Singapore , Singapore
| | - T C Yeo
- National University Heart Centre , Singapore , Singapore
| | - K K Poh
- National University Heart Centre , Singapore , Singapore
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25
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Wan P, Xue H, Liu C, Chen F, Shao W, Qin J, Kong W, Zhang D. Transport-based Anatomical-Functional Metric Learning for Liver Tumor Recognition using Dual-view Dynamic CEUS Imaging. IEEE Trans Biomed Eng 2022; 70:1012-1023. [PMID: 36121950 DOI: 10.1109/tbme.2022.3207473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC) are the most common malignancy arising from primary liver cancer (PLC). Liver ultrasound (US) has been the main approach for the early screening and differential diagnosis. Since ultrasonic findings of PLC are closely associated with tumor growth pattern, histological morphology, tumor staging, and other factors, ultrasonic imaging findings overlap partially. Besides, qualitative assessment is highly dependent on expertise. To improve the diagnostic objectiveness, we propose a novel transport-based anatomical-functional metric learning (T-AFML) method to quantify imaging similarity of both the gray-scale US and dynamic contrast-enhanced US view. Considering that the hemodynamic changes vary with individuals, we introduce a temporally regularized optimal transport to align the local enhancement patterns automatically. To sufficiently exploit ultrasonic findings similarity from different modalities, a selector-based metric integration mechanism is adopted to adaptively select a dominant modality accounting for the similarity measure. In this retrospective study, we collected a total of 174 liver cancer patients consists of 105 HCC and 69 ICC, and our method achieves the superior diagnostic accuracy and sensitivity of 88.41% and 86.16%, respectively, demonstrating its efficacy in quantifying multi-modal ultrasonic findings similarity for PLC diagnosis.
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AlGhamdi S, Kong W, Brundage M, Eisenhauer E, Parker C, Digby G. EP04.01-024 Influence of Lung Diagnostic Assessment Program on Health Resource Utilization in Lung Cancer in Southeastern Ontario, Canada. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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27
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Wen B, Kong W, Zhang Y, Xue H, Wu M, Wang F. Association Between Contrast-Enhanced Ultrasound Characteristics and Molecular Subtypes of Breast Cancer. J Ultrasound Med 2022; 41:2019-2031. [PMID: 34837655 DOI: 10.1002/jum.15886] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Revised: 10/15/2021] [Accepted: 10/25/2021] [Indexed: 06/13/2023]
Abstract
OBJECTIVE This study aimed to investigate the correlation between contrast-enhanced ultrasound (CEUS) features and molecular subtypes of breast cancer (BC). METHODS A total of 116 patients (116 lesions) with pathologically diagnosed BC who received conventional ultrasound and CEUS before surgery were enrolled in this study. BC molecular subtypes were identified by postoperative pathological and immunohistochemical analysis as Luminal A (LA), Luminal B (LB), HER2 (H2) over-expression, and triple-negative (TN). Qualitative and quantitative CEUS characteristics were analyzed by one-way analysis of variance (continuous variables) or Pearson's χ2 test or Fisher's exact probability method (categorical variables). RESULTS There were significant differences in enhancement speed and enhancement degree among the four subtypes (P < .05). The area under the curve (AUC), time to peak (TTP), and peak intensity (PI) differed among the four subtypes (P < .05). The AUC of the LA subtype (305.1 ± 188.4) was significantly smaller compared with the H2 (535.7 ± 222.0, P = .007) and TN subtypes (496.6 ± 254.7, P = .019). In addition, TTP was shorter in the H2 subtype (19.8 ± 4.9) compared with the other subtypes, and was significantly shorter than in the LA subtype (26.3 ± 7.2, P = .008) and LB subtype (23.1 ± 6.7, P = .036). The PI of the LA subtype (4.7 ± 2.3) was significantly lower than that of the LB (6.6 ± 2.3, P = .027), H2 (7.4 ± 2.2, P = .005), and TN subtypes (6.9 ± 2.6, P = .014). CONCLUSIONS CEUS features differed significantly among different molecular subtypes of BC. The enhancement patterns and parameters may be important predictive features of different subtypes of BC.
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Affiliation(s)
- Baojie Wen
- Department of Ultrasound, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China
- Department of Nuclear Medicine, Nanjing First Hospital, Nanjing Medical University, Nangjing, China
| | - Wentao Kong
- Department of Ultrasound, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China
| | - Yidan Zhang
- Department of Ultrasound, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China
| | - Haiyan Xue
- Department of Ultrasound, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China
| | - Min Wu
- Department of Ultrasound, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China
| | - Feng Wang
- Department of Nuclear Medicine, Nanjing First Hospital, Nanjing Medical University, Nangjing, China
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Liu H, Wang Y, Liu Y, Lin D, Zhang C, Zhao Y, Chen L, Li Y, Yuan J, Chen Z, Yu J, Kong W, Chen T. Contrast-Enhanced Computed Tomography–Based Radiogenomics Analysis for Predicting Prognosis in Gastric Cancer. Front Oncol 2022; 12:882786. [PMID: 35814414 PMCID: PMC9257248 DOI: 10.3389/fonc.2022.882786] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 05/16/2022] [Indexed: 12/12/2022] Open
Abstract
Objective The aim of this study is to identify prognostic imaging biomarkers and create a radiogenomics nomogram to predict overall survival (OS) in gastric cancer (GC). Material RNA sequencing data from 407 patients with GC and contrast-enhanced computed tomography (CECT) imaging data from 46 patients obtained from The Cancer Genome Atlas (TCGA) and The Cancer Imaging Archive (TCIA) were utilized to identify radiogenomics biomarkers. A total of 392 patients with CECT images from the Nanfang Hospital database were obtained to create and validate a radiogenomics nomogram based on the biomarkers. Methods The prognostic imaging features that correlated with the prognostic gene modules (selected by weighted gene coexpression network analysis) were identified as imaging biomarkers. A nomogram that integrated the radiomics score and clinicopathological factors was created and validated in the Nanfang Hospital database. Nomogram discrimination, calibration, and clinical usefulness were evaluated. Results Three prognostic imaging biomarkers were identified and had a strong correlation with four prognostic gene modules (P < 0.05, FDR < 0.05). The radiogenomics nomogram (AUC = 0.838) resulted in better performance of the survival prediction than that of the TNM staging system (AUC = 0.765, P = 0.011; Delong et al.). In addition, the radiogenomics nomogram exhibited good discrimination, calibration, and clinical usefulness in both the training and validation cohorts. Conclusions The novel prognostic radiogenomics nomogram that was constructed achieved excellent correlation with prognosis in both the training and validation cohort of Nanfang Hospital patients with GC. It is anticipated that this work may assist in clinical preferential treatment decisions and promote the process of precision theranostics in the future.
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Affiliation(s)
- Han Liu
- Department of Ultrasound, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
| | - Yiyun Wang
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangdong Provincial Engineering Technology Research Center of Minimally Invasive Surgery, Guangzhou, China
| | - Yingqiao Liu
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangdong Provincial Engineering Technology Research Center of Minimally Invasive Surgery, Guangzhou, China
| | - Dingyi Lin
- School of Biomedical Engineering, Southern Medical University, Guangzhou, China
| | - Cangui Zhang
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangdong Provincial Engineering Technology Research Center of Minimally Invasive Surgery, Guangzhou, China
| | - Yuyun Zhao
- School of Biomedical Engineering, Southern Medical University, Guangzhou, China
| | - Li Chen
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangdong Provincial Engineering Technology Research Center of Minimally Invasive Surgery, Guangzhou, China
| | - Yi Li
- Department of Radiology, Southern Medical University, Guangzhou, China
| | - Jianyu Yuan
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangdong Provincial Engineering Technology Research Center of Minimally Invasive Surgery, Guangzhou, China
| | - Zhao Chen
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangdong Provincial Engineering Technology Research Center of Minimally Invasive Surgery, Guangzhou, China
| | - Jiang Yu
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangdong Provincial Engineering Technology Research Center of Minimally Invasive Surgery, Guangzhou, China
| | - Wentao Kong
- Department of Ultrasound, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
- *Correspondence: Tao Chen, ; Wentao Kong,
| | - Tao Chen
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangdong Provincial Engineering Technology Research Center of Minimally Invasive Surgery, Guangzhou, China
- *Correspondence: Tao Chen, ; Wentao Kong,
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29
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Ruan X, Du J, Lu D, Duan W, Jin F, Kong W, Wu Y, Dai Y, Yan S, Yin C, Li Y, Cheng J, Jia C, Liu X, Wu Q, Gu M, Ju R, Xu X, Yang Y, Jin J, Korell M, Montag M, Liebenthron J, Mueck AO. First live birth in China after cryopreserved ovarian tissue transplantation to prevent premature ovarian insufficiency. Climacteric 2022; 25:421-424. [PMID: 35504301 DOI: 10.1080/13697137.2022.2064215] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
OBJECTIVE This article reports the first live birth after cryopreserved ovarian tissue transplantation to prevent premature ovarian insufficiency in China. METHODS A patient with myelodysplastic syndrome received ovarian tissue cryopreservation before hematopoietic stem cell transplantation, and six ovarian cortex strips were thawed and transplanted into her peritoneal pocket 2 years later. RESULTS Pregnancy occurred spontaneously 27 months after grafting, and a healthy girl was born at 38 weeks gestation. Until now, the child has developed normally without any major diseases. CONCLUSIONS We report the first live birth resulting from ovarian tissue cryopreservation and transplantation in China.
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Affiliation(s)
- X Ruan
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - J Du
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - D Lu
- Department of Gynecology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - W Duan
- Department of Gynecological Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - F Jin
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - W Kong
- Department of Gynecological Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Y Wu
- Department of Gynecological Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Y Dai
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - S Yan
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - C Yin
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Y Li
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - J Cheng
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - C Jia
- Department of Reproductive Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - X Liu
- Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Q Wu
- Department of Ultrasound, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - M Gu
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - R Ju
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - X Xu
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Y Yang
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - J Jin
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - M Korell
- Department of Obstetrics and Gynecology, Johanna Etienne Hospital of Neuss, Neuss, Germany
| | - M Montag
- Ilabcomm GmbH, Augustin, Germany
| | - J Liebenthron
- UniCareD, University Cryobank for Assisted Reproductive Medicine and Fertility Protection at UniKiD, University Women's Hospital Düsseldorf, Düsseldorf, Germany
| | - A O Mueck
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China.,University Women's Hospital and Research Centre for Women's Health, Department of Women's Health, University of Tuebingen, Tuebingen, Germany
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Kong W, Zeng TS. [Research in evaluation and intervention of cardiovascular complications of patients with type 1 diabetes on demand]. Zhonghua Yi Xue Za Zhi 2022; 102:1153-1158. [PMID: 35462499 DOI: 10.3760/cma.j.cn/112137-20211009-02230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Recently, great progress has been made in the treatment of type 1 diabetes mellitus (T1DM), however the disease still significantly shortens the life expectancy. Cardiovascular complication is the main cause of death in T1DM patients, and the morbidity is even higher than that of type 2 diabetes. The risk factors of cardiovascular complication in T1DM are different from those of type 2 diabetes. Besides hyperglycemia, dyslipidemia, hypertension, microvascular complications and unhealthy lifestyle, non-traditional risk factors also play very important roles in developing cardiovascular complication, such as hypoglycemia, blood glucose variability, insulin resistance, and autoimmune inflammation of heart. At present, there is a lack of risk assessment and prevention measures for cardiovascular complications in T1DM. It is necessary for more studies to explore whether sodium-dependent glucose transporters 2 (SGLT2) inhibitors and glucagon-like peptide-1 (GLP-1) receptor agonists, which can improve cardiovascular and renal outcomes in type 2 diabetes mellitus, can be equally effective in T1DM.
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Affiliation(s)
- W Kong
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei Diabetes and Metabolic Disease Clinical Research Center, Wuhan 430022, China
| | - T S Zeng
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei Diabetes and Metabolic Disease Clinical Research Center, Wuhan 430022, China
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Shao X, Kong W, Li Y, Zhang S. Quantitative structure-activity relationship modeling reveals the minimal sequence requirement and amino acid preference of sirtuin-1's deacetylation substrates in diabetes mellitus. J Bioinform Comput Biol 2022; 20:2250008. [PMID: 35451939 DOI: 10.1142/s0219720022500081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Sirtuin 1 (SIRT1) is a nicotinamide adenine dinucleotide (NAD[Formula: see text]-dependent deacetylase involved in multiple glucose metabolism pathways and plays an important role in the pathogenesis of diabetes mellitus (DM). The enzyme specifically recognizes its deacetylation substrates' peptide segments containing a central acetyl-lysine residue as well as a number of amino acids flanking the central residue. In this study, we attempted to ascertain the minimal sequence requirement (MSR) around the central acetyl-lysine residue of SIRT1 substrate-recognition sites as well as the amino acid preference (AAP) at different residues of the MSR window through quantitative structure-activity relationship (QSAR) strategy, which would benefit our understanding of SIRT1 substrate specificity at the molecular level and is also helpful to rationally design substrate-mimicking peptidic agents against DM by competitively targeting SIRT1 active site. In this procedure, a large-scale dataset containing 6801 13-mer acetyl-lysine peptides (and their SIRT1-catalyized deacetylation activities) were compiled to train 10 QSAR regression models developed by systematic combination of machine learning methods (PLS and SVM) and five amino acids descriptors (DPPS, T-scale, MolSurf, [Formula: see text]-score, and FASGAI). The two best QSAR models (PLS+FASGAI and SVM+DPPS) were then employed to statistically examine the contribution of residue positions to the deacetylation activity of acetyl-lysine peptide substrates, revealing that the MSR can be represented by 5-mer acetyl-lysine peptides that meet a consensus motif X[Formula: see text]X[Formula: see text]X[Formula: see text](AcK)0X[Formula: see text]. Structural analysis found that the X[Formula: see text] and (AcK)0 residues are tightly packed against the enzyme active site and confer both stability and specificity for the enzyme-substrate complex, whereas the X[Formula: see text], X[Formula: see text] and X[Formula: see text] residues are partially exposed to solvent but can also effectively stabilize the complex system. Subsequently, a systematic deacetylation activity change profile (SDACP) was created based on QSAR modeling, from which the AAP for each residue position of MSR was depicted. With the profile, we were able to rationally design an SDACP combinatorial library with promising deacetylation activity, from which nine MSR acetyl-lysine peptides as well as two known SIRT1 acetyl-lysine peptide substrates were tested by using SIRT1 deacetylation assay. It is revealed that the designed peptides exhibit a comparable or even higher activity than the controls, although the former is considerably shorter than the latter.
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Affiliation(s)
- X Shao
- Department of Nephrology, Suzhou Kowloon Hospital, Shanghai Jiao Tong University, School of Medicine, Suzhou 215000, P. R. China
| | - W Kong
- Department of Nephrology, Suzhou Kowloon Hospital, Shanghai Jiao Tong University, School of Medicine, Suzhou 215000, P. R. China
| | - Y Li
- Department of Nephrology, Suzhou Kowloon Hospital, Shanghai Jiao Tong University, School of Medicine, Suzhou 215000, P. R. China
| | - S Zhang
- Department of Nephrology, Suzhou Kowloon Hospital, Shanghai Jiao Tong University, School of Medicine, Suzhou 215000, P. R. China
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Huang J, Wang Y, Zhang C, Hu X, Wang P, Shi G, Dong L, Zhang J, Kong W, Chen Y, Ye D, Xia D, Guo J, Xue W, Huang Y, He Z. Surgical management and oncologic outcomes for local recurrence of renal cell carcinoma after radical nephrectomy. Eur Urol 2022. [DOI: 10.1016/s0302-2838(22)00460-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Chen F, Han H, Ning G, Wen B, Liao H, Kong W, Zhang D. Immunohistochemical Index Prediction of Breast Cancer by Using Hybrid Ultrasound Data. IEEE Trans Biomed Eng 2022; 70:1401-1412. [PMID: 36288237 DOI: 10.1109/tbme.2022.3217264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
The immunohistochemical index is significant to help the selection of treatment strategy for breast cancer patients. Existing studies that focus on conventional ultrasound features and certain types of immunohistochemistry expressions are limited to correlation exploration, and only few studies have built predictive models. In this study, a Tri-Branch deep learning network is built for prediction of the immunohistochemical HER2 using the hybrid ultrasound data, instead of relying on the invasive and biopsy-based histopathological examination. Specifically, the deep learning model uses the cross-model attention and the interactive learning approaches to obtain the strong complementarity of hybrid data comprising B-mode US, contrast-enhanced ultrasound, and optical flow motion information to enhance accuracy of immunohistochemical HER2 prediction. The proposed prediction model was evaluated using hybrid ultrasound dataset from 335 breast cancer patients. The experimental results indicated that the Tri-Branch model had a high accuracy of 86.23% for HER2 status prediction, and the HER2 status prediction for patients with different pathology grades exhibited some meaningful clinical observations.
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Affiliation(s)
- Fang Chen
- Department of Computer Science and Engineering, MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Haojie Han
- Department of Computer Science and Engineering, MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Guochen Ning
- Department of Biomedical Engineering, Tsinghua University, Beijing, China
| | - Baojie Wen
- Department of Ultrasound, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Hongen Liao
- Department of Biomedical Engineering, Tsinghua University, Beijing, China
| | - Wentao Kong
- Department of Ultrasound, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Daoqiang Zhang
- Department of Computer Science and Engineering, MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Nanjing University of Aeronautics and Astronautics, Nanjing, China
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Johnson G, Vergis A, Unger B, Park J, Gillman L, Hickey K, Pace D, Azin A, Guidolin K, Lam-Tin-Cheung K, Chadi S, Quereshy F, Guidolin K, Catton J, Rubin B, Bell J, Marangos J, Heesters A, Stuart-McEwan T, Quereshy F, Shariff F, Wright F, Ahmed N, Nadler A, Hallet J, Gentles J, Chen L, Hwang H, Parapini M, Hirpara D, Sidhu R, Scott T, Karimuddin A, Guo R, Nguyen A, Osborn J, Wiseman S, Nabata K, Ertel E, Hwang H, Lenet T, Baker L, Park L, Vered M, Zahrai A, Shorr R, Davis A, McIsaac D, Tinmouth A, Fergusson D, Martel G, Nabata K, Rummel S, Stefic-Cubic M, Karimuddin A, Stewart M, Melck A, McKechnie T, Anpalagan T, Ichhpuniani S, Lee Y, Ramji K, Eskicioglu C, Zhu A, Deng S, Greene B, Tsang M, Palter V, Jayaraman S, McKechnie T, Mann A, Tittley J, Cadeddu M, Nguyen M, Madani A, Pasternak J, McKechnie T, Ramji K, Hong D, Qu L, Istl A, Tang E, Gray D, Zuckerman J, Coburn N, Callum J, McLeod R, Pearsall E, Lin Y, Turgeon A, Martel G, Hallet J, Mahar A, Kammili A, Kriviraltcheva-Kaneva P, 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Jayaraman S, Wei A, Mahar A, Kaliwal Y, Martel G, Coburn N, Hallet J, Henault D, Barrette B, Pelletier S, Thebault P, Beaudry-Simoneau E, Rong Z, Plasse M, Dagenais ARM, Létourneau R, Lapointe R, Vandenbroucke-Menu F, Nguyen B, Soucy G, Turcotte S, Lemke M, Waugh E, Leslie K, Quan D, Skaro A, Tang E, Lund M, Allen L, Glinka J, Jada G, Quan D, Skaro A, Tang E, Park L, Daza J, Li V, Msallak H, Zhang B, Workneh A, Faisal S, Faisal R, Fabbro M, Gu C, Claassen M, Zuk V, Hallet J, Martel G, Sapisochin G, Serrano P, Glinka J, Skaro A, Leslie K, Jada G, Quan D, Tang E, Waugh E, Lemke M, Glinka J, Skaro A, Leslie K, Tang E, Waugh E, Breadner D, Liu R, Tang E, Allen L, Welch S, Skaro A, Leslie K, Glinka J, Waugh E, Tang E, Jada G, Quan D, Skaro A, Webb A, Lester E, Shapiro A, Eurich D, Bigam D, Essaji Y, Shrader H, Nayyar A, Suraju M, Williams-Perez S, Ear P, Chan C, Smith V, Rivers-Bowerman M, Costa A, Stueck A, Campbell N, Allen S, Gala-Lopez B, Gilbert R, Lenet T, Cleary S, Smoot R, Tzeng C, Rocha F, Martel G, Bertens K, Mir Z, Golding H, McKeown S, Nanji S, Flemming J, Groome P, Mir Z, Djerboua M, Nanji S, Flemming J, Groome P, Elbekri S, Turcotte S, Girard E, Morency-Potvin P, Lapointe R, Vandenbroucke-Menu F, Dagenais M, Roy A, Letourneau R, Plasse M, Simoneau E, Rong Z, Zuker N, Oakley M, Chartrand G, Misheva B, Bendavid Y, Frigault J, Lemieux S, Breton D, Bouchard G, Drolet S, Melland-Smith M, Smith L, Tan J, Kahn U, McLean C, Mocanu V, Birch D, Karmali S, Switzer N, Fortin M, Paré X, Doyon A, Keshavjee S, Schwenger K, Yadav J, Fischer S, Jackson T, Allard J, Okrainec A, Lee Y, Anvari S, Chu M, Lovrics O, Aditya I, Malhan R, Khondker A, Walsh M, Doumouras A, Hong D, He W, Vergis A, Hardy K, Romanescu R, Deaninck F, Linton J, Fowler-Woods M, Fowler-Woods A, Shingoose G, Vergis A, Hardy K, Zmudzinski M, Cloutier Z, McKechnie T, Lee Y, Archer V, Doumouras A, Shiroky J, Abu Halimah J, Ramji K, Boudreau V, Mierzwa A, Mocanu V, Marcil G, Dang J, Switzer N, Birch D, Karmali S, Mierzwa A, Jarrar A, Hardy-Henry A, Kolozsvari N, Lin W, Hagen J, Connell M, Sun W, Dang J, Mocanu V, Kung J, Switzer N, Birch D, Karmali S. 2021 Canadian Surgery Forum01. Design and validation of a unique endoscopy simulator using a commercial video game03. Is ethnicity an appropriate measure of health care marginalization?: A systematic review and meta-analysis of the outcomes of diabetic foot ulceration in the Aboriginal population04. Racial disparities in surgery — a cross-specialty matched comparison between black and white patients05. Starting late does not increase the risk of postoperative complications in patients undergoing common general surgical procedures06. Ethical decision-making during a health care crisis: a resource allocation framework and tool07. Ensuring stability in surgical training program leadership: a survey of program directors08. Introducing oncoplastic breast surgery in a community hospital09. Leadership development programs for surgical residents: a review of the literature10. Superiority of non-opioid postoperative pain management after thyroid and parathyroid operations: a systematic review and meta-analysis11. Timing of ERCP relative to cholecystectomy in patients with ductal gallstone disease12. A systematic review and meta-analysis of randomized controlled trials comparing intraoperative red blood cell transfusion strategies13. Postoperative outcomes after frail elderly preoperative assessment clinic: a single-institution Canadian perspective14. Selective opioid antagonists following bowel resection for prevention of postoperative ileus: a systematic review and meta-analysis15. Peer-to-peer coaching after bile duct injury16. Laparoscopic median arcuate ligament release: a video abstract17. Retroperitoneoscopic approach to adrenalectomy19. Endoscopic Zenker diverticulotomy: a video abstract20. Variability in surgeons’ perioperative management of pheochromocytomas in Canada21. The contribution of surgeon and hospital variation in transfusion practice to outcomes for patients undergoing elective gastrointestinal cancer surgery: a population-based analysis22. Perioperative transfusions for gastroesophageal cancers: risk factors and short- and long-term outcomes23. The association between frailty and time alive and at home after cancer surgery among older adults: a population-based analysis24. Psychological and workplace-related effects of providing surgical care during the COVID-19 pandemic in British Columbia, Canada25. Safety of venous thromboembolism prophylaxis in endoscopic retrograde cholangiopancreatography: a systematic review26. Complications and reintervention following laparoscopic subtotal cholecystectomy: a systematic review and meta-analysis27. Synchronization of pupil dilations correlates with team performance in a simulated laparoscopic team coordination task28. Receptivity to and desired design features of a surgical peer coaching program: an international survey9. Impact of the COVID-19 pandemic on rates of emergency department utilization due to general surgery conditions30. The impact of the current COVID-19 pandemic on the exposure of general surgery trainees to operative procedures31. Association between academic degrees and research productivity: an assessment of academic general surgeons in Canada32. Laparoscopic endoscopic cooperative surgery (LECS) for subepithelial gastric lesion: a video presentation33. Effect of the COVID-19 pandemic on acute care general surgery at an academic Canadian centre34. Opioid-free analgesia after outpatient general surgery: a pilot randomized controlled trial35. Impact of neoadjuvant immunotherapy or targeted therapies on surgical resection in patients with solid tumours: a systematic review and meta-analysis37. Surgical data recording in the operating room: a systematic review of modalities and metrics38. Association between nonaccidental trauma and neighbourhood socioeconomic status during the COVID-19 pandemic: a retrospective analysis39. Laparoscopic repair of a transdiaphragmatic gastropleural fistula40. Video-based interviewing in medicine: a scoping review41. Indocyanine green fluorescence angiography for prevention of anastomotic leakage in colorectal surgery: a cost analysis from the hospital payer’s perspective43. Perception or reality: surgical resident and faculty assessments of resident workload compared with objective data45. When illness and loss hit close to home: Do health care providers learn how to cope?46. Remote video-based suturing education with smartphones (REVISE): a randomized controlled trial47. The evolving use of robotic surgery: a population-based analysis48. Prophylactic retromuscular mesh placement for parastomal hernia prevention: a retrospective cohort study of permanent colostomies and ileostomies49. Intracorporeal versus extracorporeal anastomosis in laparoscopic right hemicolectomy: a retrospective cohort study on anastomotic complications50. A lay of the land — a description of Canadian academic acute care surgery models51. Emergency general surgery in Ontario: interhospital variability in structures, processes and models of care52. Trauma 101: a virtual case-based trauma conference as an adjunct to medical education53. Assessment of the National Surgical Quality Improvement Program Surgical Risk Calculator for predicting patient-centred outcomes of emergency general surgery patients in a Canadian health care system54. Sustainability of a narcotic reduction initiative: 1 year following the Standardization of Outpatient Procedure (STOP) Narcotics Study55. Barriers to transanal endoscopic microsurgery referral56. Geospatial analysis of severely injured rural patients in a geographically complex landscape57. Implementation of an incentive spirometry protocol in a trauma ward: a single-centre pilot study58. Impostor phenomenon is a significant risk factor for burnout and anxiety in Canadian resident physicians: a cross-sectional survey59. Understanding the influence of perioperative education on performance among surgical trainees: a single-centre experience60. The effect of COVID-19 pandemic on current and future endoscopic personal protective equipment practices: a national survey of 77 endoscopists61. Case report: delayed presentation of perforated sigmoid diverticulitis as necrotizing infection of the lower limb62. Investigating disparities in surgical outcomes in Canadian Indigenous populations63. Fundoplication is superior to medical therapy for Barrett esophagus disease regression and progression: a systematic review and meta-analysis64. Development of a novel online general surgery learning platform and a qualitative preimplementation analysis65. Hagfish slime exudate as a potential novel hemostatic agent: developing a standardized assessment protocol66. The effect of the first wave of the COVID-19 pandemic on surgical oncology case volumes and wait times67. Safety of same-day discharge in high-risk patients undergoing ambulatory general surgery68. External validation of the Codman score in colorectal surgery: a pragmatic tool to drive quality improvement69. Improved morbidity and gastrointestinal restoration rates without compromising survival rates for diverting loop ileostomy with colonic lavage versus total abdominal colectomy for fulminant Clostridioides difficile colitis: a multicentre retrospective cohort study70. Potential access to emergency general surgical care in Ontario71. Immersive virtual reality (iVR) improves procedural duration, task completion and accuracy in surgical trainees: a systematic review01. Clinical validation of the Canada Lymph Node Score for endobronchial ultrasound02. Venous thromboembolism in surgically treated esophageal cancer patients: a provincial population-based study03. Venous thromboembolism in surgically treated lung cancer patients: a population-based study04. Is frailty associated with failure to rescue after esophagectomy? A multi-institutional comparative analysis of outcomes05. Routine systematic sampling versus targeted sampling of lymph nodes during endobronchial ultrasound: a feasibility randomized controlled trial06. Gastric ischemic conditioning reduces anastomotic complications in patients undergoing esophagectomy: a systematic review and meta-analysis07. Move For Surgery, a novel preconditioning program to optimize health before thoracic surgery: a randomized controlled trial08. In case of emergency, go to your nearest emergency department — Or maybe not?09. Does preoperative SABR increase the risk of complications from lung cancer resection? A secondary analysis of the MISSILE trial10. Segmental resection for lung cancer: the added value of near-infrared fluorescence mapping diminishes with surgeon experience11. Toward competency-based continuing professional development for practising surgeons12. Stereotactic body radiotherapy versus surgery in older adults with NSCLC — a population-based, matched analysis of long-term dependency outcomes13. Role of adjuvant therapy in esophageal cancer patients after neoadjuvant therapy and curative esophagectomy: a systematic review and meta-analysis14. Evaluation of population characteristics on the incidence of thoracic empyema: an ecological study15. Determining the optimal stiffness colour threshold and stiffness area ratio cut-off for mediastinal lymph node staging using EBUS elastography and AI: a pilot study16. Quality assurance on the use of sequential compression stockings in thoracic surgery (QUESTs)17. The relationship between fissureless technique and prolonged air leak for patients undergoing video-assisted thoracoscopic lobectomy18. CXCR2 inhibition as a candidate for immunomodulation in the treatment of K-RAS-driven lung adenocarcinoma19. Assessment tools for evaluating competency in video-assisted thoracoscopic lobectomy: a systematic review20. Understanding the current practice on chest tube management following lung resection among thoracic surgeons across Canada21. Effect of routine jejunostomy tube insertion in esophagectomy: a systematic review and meta-analysis22. Recurrence of primary spontaneous pneumothorax following bullectomy with pleurodesis or pleurectomy: a retrospective analysis23. Surgical outcomes following chest wall resection and reconstruction24. Outcomes following surgical management of primary mediastinal nonseminomatous germ cell tumours25. Does robotic approach offer better nodal staging than thoracoscopic approach in anatomical resection for non–small cell lung cancer? A single-centre propensity matching analysis26. Competency assessment for mediastinal mass resection and thymectomy: design and Delphi process27. The contemporary significance of venous thromboembolism (deep venous thrombosis [DVT] and pulmonary embolus [PE]) in patients undergoing esophagectomy: a prospective, multicentre cohort study to evaluate the incidence and clinical outcomes of VTE after major esophageal resections28. Esophageal cancer: symptom severity at the end of life29. The impact of pulmonary artery reconstruction on postoperative and oncologic outcomes: a systematic review30. Association with surgical technique and recurrence after laparoscopic repair of paraesophageal hernia: a single-centre experience31. Enhanced recovery after surgery (ERAS) in esophagectomy32. Surgical treatment of esophageal cancer: trends in surgical approach and early mortality at a single institution over the past 18 years34. Adverse events and length of stay following minimally invasive surgery in paraesophageal hernia repair35. Long-term symptom control comparison of Dor and Nissen fundoplication following laparoscopic para-esophageal hernia repair: a retrospective analysis36. Willingness to pay: a survey of Canadian patients’ willingness to contribute to the cost of robotic thoracic surgery37. Radiomics in early-stage lung adenocarcinoma: a prediction tool for tumour immune microenvironments38. Effectiveness of intraoperative pyloric botox injection during esophagectomy: how often is endoscopic intervention required?39. An artificial intelligence algorithm for predicting lymph node malignancy during endobronchial ultrasound40. The effect of major and minor complications after lung surgery on length of stay and readmission41. Measuring cost of adverse events following thoracic surgery: a scoping review42. Laparoscopic paraesophageal hernia repair: characterization by hospital and surgeon volume and impact on outcomes43. NSQIP 5-Factor Modified Frailty Index predicts morbidity but not mortality after esophagectomy44. Trajectory of perioperative HRQOL and association with postoperative complications in thoracic surgery patients45. Variation in treatment patterns and outcomes for resected esophageal cancer at designated thoracic surgery centres46. Patient-reported pretreatment health-related quality of life (HRQOL) predicts short-term survival in esophageal cancer patients47. Analgesic efficacy of surgeon-placed paravertebral catheters compared with thoracic epidural analgesia after Ivor Lewis esophagectomy: a retrospective noninferiority study48. Rapid return to normal oxygenation after lung surgery49. Examination of local and systemic inflammatory changes during lung surgery01. Implications of near-infrared imaging and indocyanine green on anastomotic leaks following colorectal surgery: a systematic review and meta-analysis02. Repeat preoperative endoscopy after regional implementation of electronic synoptic endoscopy reporting: a retrospective comparative study03. Consensus-derived quality indicators for operative reporting in transanal endoscopic surgery (TES)04. Colorectal lesion localization practices at endoscopy to facilitate surgical and endoscopic planning: recommendations from a national consensus Delphi process05. Black race is associated with increased mortality in colon cancer — a population-based and propensity-score matched analysis06. Improved survival in a cohort of patients 75 years and over with FIT-detected colorectal neoplasms07. Laparoscopic versus open loop ileostomy reversal: a systematic review and meta-analysis08. Posterior mesorectal thickness as a predictor of increased operative time in rectal cancer surgery: a retrospective cohort study09. Improvement of colonic anastomotic healing in mice with oral supplementation of oligosaccharides10. How can we better identify patients with rectal bleeding who are at high risk of colorectal cancer?11. Assessment of long-term bowel dysfunction in rectal cancer survivors: a population-based cohort study12. Observational versus antibiotic therapy for acute uncomplicated diverticulitis: a noninferiority meta-analysis based on a Delphi consensus13. Radiotherapy alone versus chemoradiotherapy for stage I anal squamous cell carcinoma: a systematic review and meta-analysis14. Is the Hartmann procedure for diverticulitis obsolete? National trends in colectomy for diverticulitis in the emergency setting from 1993 to 201515. Sugammadex in colorectal surgery: a systematic review and meta-analysis16. Sexuality and rectal cancer treatment: a qualitative study exploring patients’ information needs and expectations on sexual dysfunction after rectal cancer treatment17. Video-based interviews in selection process18. Impact of delaying colonoscopies during the COVID-19 pandemic on colorectal cancer detection and prevention19. Opioid use disorder associated with increased anastomotic leak and major complications after colorectal surgery20. Effectiveness of a rectal cancer education video on patient expectations21. Robotic-assisted rectosigmoid and rectal cancer resection: implementation and early experience at a Canadian tertiary centre22. An online educational app for rectal cancer survivors with low anterior resection syndrome: a pilot study23. The effects of surgeon specialization on the outcome of emergency colorectal surgery24. Outcomes after colorectal cancer resections in octogenarians and older in a regional New Zealand setting — What are the predictors of mortality?25. Long-term outcomes after seton placement for perianal fistulae with and without Crohn disease26. A survey of patient and surgeon preference for early ileostomy closure following restorative proctectomy for rectal cancer — Why aren’t we doing it?27. Crohn disease independently associated with longer hospital admission after surgery28. Short-stay (≤ 1 d) diverting loop ileostomy closure can be selectively implemented without an increase in readmission and complication rates: an ACS-NSQIP analysis29. A comparison of perineal stapled rectal prolapse resection and the Altemeier procedure at 2 Canadian academic hospitals30. Mental health and substance use disorders predict 90-day readmission and postoperative complications following rectal cancer surgery31. Early discharge after colorectal cancer resection: trends and impact on patient outcomes32. Oral antibiotics without mechanical bowel preparation prior to emergency colectomy reduces the risk of organ space surgical site infections: a NSQIP propensity score matched study33. The impact of robotic surgery on a tertiary care colorectal surgery program, an assessment of costs and short-term outcomes — a Canadian perspective34. Should we scope beyond the age limit of guidelines? Adenoma detection rates and outcomes of screening and surveillance colonoscopies in patients aged 75–79 years35. Emergency department admissions for uncomplicated diverticulitis: a nationwide study36. Obesity is associated with a complicated episode of acute diverticulitis: a nationwide study37. Green indocyanine angiography for low anterior resection in patients with rectal cancer: a prospective before-and-after study38. The impact of age on surgical recurrence of fibrostenotic ileocolic Crohn disease39. A qualitative study to explore the optimal timing and approach for the LARS discussion01. Racial, ethnic and socioeconomic disparities in diagnosis, treatment and survival of patients with breast cancer: a SEER-based population analysis02. First-line palliative chemotherapy for esophageal and gastric cancer: practice patterns and outcomes in the general population03. Frailty as a predictor for postoperative outcomes following pancreaticoduodenectomy04. Synoptic electronic operative reports identify practice variation in cancer surgery allowing for directed interventions to decrease variation05. The role of Hedgehog signalling in basal-like breast cancer07. Clinical and patient-reported outcomes in oncoplastic breast conservation surgery from a single surgeon’s practice in a busy community hospital in Canada08. Upgrade rate of atypical ductal hyperplasia: 10 years of experience and predictive factors09. Time to first adjuvant treatment after oncoplastic breast reduction10. Preparing to survive: improving outcomes for young women with breast cancer11. Opioid prescription and consumption in patients undergoing outpatient breast surgery — baseline data for a quality improvement initiative12. Rectal anastomosis and hyperthermic intraperitoneal chemotherapy: Should we avoid diverting loop ileostomy?13. Delays in operative management of early-stage, estrogen-receptor positive breast cancer during the COVID-19 pandemic — a multi-institutional matched historical cohort study14. Opioid prescribing practices in breast oncologic surgery15. Oncoplastic breast reduction (OBR) complications and patient-reported outcomes16. De-escalating breast cancer surgery: Should we apply quality indicators from other jurisdictions in Canada?17. The breast cancer patient experience of telemedicine during COVID-1918. A novel ex vivo human peritoneal model to investigate mechanisms of peritoneal metastasis in gastric adenocarcinoma (GCa)19. Preliminary uptake and outcomes utilizing the BREAST-Q patient-reported outcomes questionnaire in patients following breast cancer surgery20. Routine elastin staining improves detection of venous invasion and enhances prognostication in resected colorectal cancer21. Analysis of exhaled volatile organic compounds: a new frontier in colon cancer screening and surveillance22. A clinical pathway for radical cystectomy leads to a shorter hospital stay and decreases 30-day postoperative complications: a NSQIP analysis23. Fertility preservation in young breast cancer patients: a population-based study24. Investigating factors associated with postmastectomy unplanned emergency department visits: a population-based analysis25. Impact of patient, tumour and treatment factors on psychosocial outcomes after treatment in women with invasive breast cancer26. The relationship between breast and axillary pathologic complete response in women receiving neoadjuvant chemotherapy for breast cancer01. The association between bacterobilia and the risk of postoperative complications following pancreaticoduodenectomy02. Surgical outcome and quality of life following exercise-based prehabilitation for hepatobiliary surgery: a systematic review and meta-analysis03. Does intraoperative frozen section and revision of margins lead to improved survival in patients undergoing resection of perihilar cholangiocarcinoma? A systematic review and meta-analysis04. Prolonged kidney procurement time is associated with worse graft survival after transplantation05. Venous thromboembolism following hepatectomy for colorectal metastases: a population-based retrospective cohort study06. Association between resection approach and transfusion exposure in liver resection for gastrointestinal cancer07. The association between surgeon volume and use of laparoscopic liver resection for gastrointestinal cancer08. Immune suppression through TIGIT in colorectal cancer liver metastases09. “The whole is greater than the sum of its parts” — a combined strategy to reduce postoperative pancreatic fistula after pancreaticoduodenectomy10. Laparoscopic versus open synchronous colorectal and hepatic resection for metastatic colorectal cancer11. Identifying prognostic factors for overall survival in patients with recurrent disease following liver resection for colorectal cancer metastasis12. Modified Blumgart pancreatojejunostomy with external stenting in laparoscopic Whipple reconstruction13. Laparoscopic versus open pancreaticoduodenectomy: a single centre’s initial experience with introduction of a novel surgical approach14. Neoadjuvant chemotherapy versus upfront surgery for borderline resectable pancreatic cancer: a single-centre cohort analysis15. Thermal ablation and telemedicine to reduce resource utilization during the COVID-19 pandemic16. Cost-utility analysis of normothermic machine perfusion compared with static cold storage in liver transplantation in the Canadian setting17. Impact of adjuvant therapy on overall survival in early-stage ampullary cancers: a single-centre retrospective review18. Presence of biliary anaerobes enhances response to neoadjuvant chemotherapy in pancreatic ductal adenocarcinoma19. How does tumour viability influence the predictive capability of the Metroticket model? Comparing predicted-to-observed 5-year survival after liver transplant for hepatocellular carcinoma20. Does caudate resection improve outcomes in patients undergoing curative resection for perihilar cholangiocarcinoma? A systematic review and meta-analysis21. Appraisal of multivariable prognostic models for postoperative liver decompensation following partial hepatectomy: a systematic review22. Predictors of postoperative liver decompensation events following resection in patients with cirrhosis and hepatocellular carcinoma: a population-based study23. Characteristics of bacteriobilia and impact on outcomes after Whipple procedure01. Inverting the y-axis: the future of MIS abdominal wall reconstruction is upside down02. Progressive preoperative pneumoperitoneum: a single-centre retrospective study03. The role of radiologic classification of parastomal hernia as a predictor of the need for surgical hernia repair: a retrospective cohort study04. Comparison of 2 fascial defect closure methods for laparoscopic incisional hernia repair01. Hypoalbuminemia predicts serious complications following elective bariatric surgery02. Laparoscopic adjustable gastric band migration inducing jejunal obstruction associated with acute pancreatitis: aurgical approach of band removal03. Can visceral adipose tissue gene expression determine metabolic outcomes after bariatric surgery?04. Improvement of kidney function in patients with chronic kidney disease and severe obesity after bariatric surgery: a systematic review and meta-analysis05. A prediction model for delayed discharge following gastric bypass surgery06. Experiences and outcomes of Indigenous patients undergoing bariatric surgery: a mixed-methods scoping review07. What is the optimal common channel length in revisional bariatric surgery?08. Laparoscopic management of internal hernia in a 34-week pregnant woman09. Characterizing timing of postoperative complications following elective Roux-en-Y gastric bypass and sleeve gastrectomy10. Canadian trends in bariatric surgery11. Common surgical stapler problems and how to correct them12. Management of choledocholithiasis following Roux-en-Y gastric bypass: a systematic review and meta-analysis. Can J Surg 2021; 64:S80-S159. [PMID: 35483046 PMCID: PMC8677574 DOI: 10.1503/cjs.021321] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Affiliation(s)
- G Johnson
- From the University of Manitoba, Winnipeg, Man
| | - A Vergis
- From the University of Manitoba, Winnipeg, Man
| | - B Unger
- From the University of Manitoba, Winnipeg, Man
| | - J Park
- From the University of Manitoba, Winnipeg, Man
| | - L Gillman
- From the University of Manitoba, Winnipeg, Man
| | - K Hickey
- From Memorial University, St. John's, Nfld
| | - D Pace
- From Memorial University, St. John's, Nfld
| | - A Azin
- From the University of Toronto, Toronto, Ont
| | | | | | - S Chadi
- University Health Network, Toronto, Ont
| | | | | | - J Catton
- University Health Network, Toronto, Ont
| | - B Rubin
- University Health Network, Toronto, Ont
| | - J Bell
- University Health Network, Toronto, Ont
| | | | | | | | | | - F Shariff
- From the University of Toronto, Toronto, Ont
| | - F Wright
- From the University of Toronto, Toronto, Ont
| | - N Ahmed
- From the University of Toronto, Toronto, Ont
| | - A Nadler
- From the University of Toronto, Toronto, Ont
| | - J Hallet
- From the University of Toronto, Toronto, Ont
| | - J Gentles
- From the University of British Columbia, Vancouver, B.C
| | - L Chen
- From the University of British Columbia, Vancouver, B.C
| | - H Hwang
- From the University of British Columbia, Vancouver, B.C
| | - M Parapini
- University of British Columbia, Vancouver, B.C
| | | | - R Sidhu
- University of British Columbia, Vancouver, B.C
| | - T Scott
- University of British Columbia, Vancouver, B.C
| | | | - R Guo
- From the University of British Columbia, Vancouver, B.C
| | - A Nguyen
- From the University of British Columbia, Vancouver, B.C
| | - J Osborn
- From the University of British Columbia, Vancouver, B.C
| | - S Wiseman
- From the University of British Columbia, Vancouver, B.C
| | - K Nabata
- From the University of British Columbia, Vancouver, B.C
| | - E Ertel
- From the University of British Columbia, Vancouver, B.C
| | - H Hwang
- From the University of British Columbia, Vancouver, B.C
| | - T Lenet
- University of Ottawa, Ottawa, Ont
| | - L Baker
- University of Ottawa, Ottawa, Ont
| | - L Park
- University of Ottawa, Ottawa, Ont
| | - M Vered
- Royal College of Surgeons in Ireland, Dublin, Ireland
| | - A Zahrai
- University of Ottawa, Ottawa, Ont
| | - R Shorr
- The Ottawa Hospital, Ottawa, Ont
| | - A Davis
- The Ottawa Hospital, Ottawa, Ont
| | | | | | - D Fergusson
- Ottawa Hospital Research Institute, Ottawa, Ont
| | - G Martel
- The Ottawa Hospital, Ottawa, Ont
| | - K Nabata
- From the University of British Columbia, Vancouver, B.C
| | - S Rummel
- From the University of British Columbia, Vancouver, B.C
| | | | - A Karimuddin
- From the University of British Columbia, Vancouver, B.C
| | - M Stewart
- From the University of British Columbia, Vancouver, B.C
| | - A Melck
- From the University of British Columbia, Vancouver, B.C
| | | | | | | | - Y Lee
- From McMaster University, Hamilton, Ont
| | - K Ramji
- From McMaster University, Hamilton, Ont
| | | | - A Zhu
- From the University of Toronto, Toronto, Ont
| | - S Deng
- From the University of Toronto, Toronto, Ont
| | - B Greene
- From the University of Toronto, Toronto, Ont
| | - M Tsang
- From the University of Toronto, Toronto, Ont
| | - V Palter
- From the University of Toronto, Toronto, Ont
| | - S Jayaraman
- From the University of Toronto, Toronto, Ont
| | | | - A Mann
- From McMaster University, Hamilton, Ont
| | - J Tittley
- From McMaster University, Hamilton, Ont
| | - M Cadeddu
- From McMaster University, Hamilton, Ont
| | - M Nguyen
- University of Toronto, Toronto, Ont
| | - A Madani
- University Health Network, Toronto, Ont
| | | | | | - K Ramji
- From McMaster University, Hamilton, Ont
| | - D Hong
- From McMaster University, Hamilton, Ont
| | - L Qu
- Western University, London, Ont
| | - A Istl
- Johns Hopkins Hospital, Baltimore, Md
| | - E Tang
- Western University, London, Ont
| | - D Gray
- Western University, London, Ont
| | | | - N Coburn
- University of Toronto, Toronto, Ont
| | - J Callum
- Queen's University, Kingston, Ont
| | - R McLeod
- University of Toronto, Toronto, Ont
| | | | - Y Lin
- University of Toronto, Toronto, Ont
| | | | - G Martel
- University of Ottawa, Ottawa, Ont
| | - J Hallet
- University of Toronto, Toronto, Ont
| | - A Mahar
- University of Manitoba, Winnipeg, Man
| | - A Kammili
- From the McGill University Health Centre, Montreal, Que
| | | | - L Lee
- From the McGill University Health Centre, Montreal, Que
| | | | - L Ferri
- From the McGill University Health Centre, Montreal, Que
| | - C Mueller
- From the McGill University Health Centre, Montreal, Que
| | | | - B Haas
- University of Toronto, Toronto, Ont
| | | | | | | | - V Zuk
- Sunnybrook Research Institute, Toronto, Ont
| | - A Mahar
- University of Manitoba, Winnipeg, Man
| | - A Hsu
- University of Ottawa, Ottawa, Ont
| | | | - R Vasdev
- Sunnybrook Research Institute, Toronto, Ont
| | - N Coburn
- University of Toronto, Toronto, Ont
| | - J Hallet
- University of Toronto, Toronto, Ont
| | - K D'Souza
- From the University of British Columbia, Vancouver, B.C
| | - C Huynh
- From the University of British Columbia, Vancouver, B.C
| | | | - R Warburton
- From the University of British Columbia, Vancouver, B.C
| | - H Hwang
- From the University of British Columbia, Vancouver, B.C
| | - M Hameed
- From the University of British Columbia, Vancouver, B.C
| | - L Glass
- Western University, London, Ont
| | | | - P Murphy
- Medical College of Wisconsin, Milwaukee, Wis
| | - E Tang
- Western University, London, Ont
| | | | - J Hawel
- Western University, London, Ont
| | - L Kerr
- From the Northern Ontario School of Medicine, Thunder Bay, Ont
| | - S Zablotny
- From the Northern Ontario School of Medicine, Thunder Bay, Ont
| | - H Roldan
- From the Northern Ontario School of Medicine, Thunder Bay, Ont
| | - W He
- University of Manitoba, Winnipeg, Man
| | - X Jiang
- Memorial University of Newfoundland, St. John's, Nfld
| | - B Zheng
- University of Alberta, Edmonton, Alta
| | - L Lee
- From McGill University, Montreal, Que
| | - J Fiore
- From McGill University, Montreal, Que
| | - L Feldman
- From McGill University, Montreal, Que
| | - G Fried
- From McGill University, Montreal, Que
| | - C Mueller
- From McGill University, Montreal, Que
| | - S Valanci
- From McGill University, Montreal, Que
| | | | - J Cipolla
- From McGill University, Montreal, Que
| | - P Kaneva
- From McGill University, Montreal, Que
| | | | - M Boutros
- From McGill University, Montreal, Que
| | - L Lee
- From McGill University, Montreal, Que
| | - L Feldman
- From McGill University, Montreal, Que
| | - J Fiore
- From McGill University, Montreal, Que
| | | | | | - J Cipolla
- From McGill University, Montreal, Que
| | - L Lee
- From McGill University, Montreal, Que
| | - J Fiore
- From McGill University, Montreal, Que
| | - L Feldman
- From McGill University, Montreal, Que
| | - A Miles
- From the University of Alberta, Edmonton, Alta
| | - K Purich
- From the University of Alberta, Edmonton, Alta
| | - K Verhoeff
- From the University of Alberta, Edmonton, Alta
| | - J Shapiro
- From the University of Alberta, Edmonton, Alta
| | - D Bigam
- From the University of Alberta, Edmonton, Alta
| | - J Kung
- From the University of Alberta, Edmonton, Alta
| | - A Fecso
- From the University of Toronto, Toronto, Ont
| | - T Chesney
- From the University of Toronto, Toronto, Ont
| | - J Mosko
- From the University of Toronto, Toronto, Ont
| | - D Skubleny
- From the University of Alberta, Edmonton, Alta
| | - P Hamilton
- From the University of Alberta, Edmonton, Alta
| | - S Ghosh
- From the University of Alberta, Edmonton, Alta
| | - S Widder
- From the University of Alberta, Edmonton, Alta
| | - D Schiller
- From the University of Alberta, Edmonton, Alta
| | - U Do
- McGill University, Montreal, Que
| | | | - M Pook
- McGill University, Montreal, Que
| | - N Barone
- McGill University, Montreal, Que
| | | | | | | | | | - H Elhaj
- McGill University Health Centre, Montreal, Que
| | | | - G Olleik
- McGill University, Montreal, Que
| | - P Kaneva
- McGill University Health Centre, Montreal, Que
| | - A Antoun
- McGill University, Montreal, Que
| | - N Safa
- McGill University, Montreal, Que
| | | | | | | | - G Fried
- McGill University Health Centre, Montreal, Que
| | - M Alhashemi
- McGill University Health Centre, Montreal, Que
| | - F Lee
- McGill University Health Centre, Montreal, Que
| | - G Baldini
- McGill University Health Centre, Montreal, Que
| | - L Feldman
- McGill University Health Centre, Montreal, Que
| | - J Fiore
- McGill University Health Centre, Montreal, Que
| | | | - S Parpia
- McMaster University, Hamilton, Ont
| | - L Ruo
- McMaster University, Hamilton, Ont
| | | | - S Lee
- McMaster University, Hamilton, Ont
| | | | - N Faisal
- Royal College of Surgeons in Ireland, Dublin, Ireland
| | - A Alfayyadh
- Royal College of Surgeons in Ireland, Dublin, Ireland
| | | | | | | | - C Kruse
- McMaster University, Hamilton, Ont
| | | | - M Levin
- University of Toronto, Toronto, Ont
| | - K Aldrich
- Center for Medical Interoperability, Nashville, Tenn
| | - T Grantcharov
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ont
| | - A Langerman
- Vanderbilt University Medical Center, Nashville, Tenn
| | - H Forbes
- From the University of Alberta, Edmonton, Alta
| | - R Anantha
- From the University of Alberta, Edmonton, Alta
| | - V Fawcett
- From the University of Alberta, Edmonton, Alta
| | | | - V Pravong
- University of Montreal, Montreal, Que
| | - M Gervais
- Maisonneuve-Rosemont Hospital, Montreal, Que
| | - G Rakovich
- Maisonneuve-Rosemont Hospital, Montreal, Que
| | - R Selvam
- From the University of Ottawa, Ottawa, Ont
| | - R Hu
- From the University of Ottawa, Ottawa, Ont
| | | | - I Raiche
- From the University of Ottawa, Ottawa, Ont
| | - H Moloo
- From the University of Ottawa, Ottawa, Ont
| | - R Liu
- Western University, London, Ont
| | - A Elnahas
- Western University, Canadian Surgical Technologies & Advanced Robotics, London Health Sciences Centre, London, Ont
| | - N Alkhamesi
- Western University, Canadian Surgical Technologies & Advanced Robotics, London Health Sciences Centre, London, Ont
| | - J Hawel
- Western University, Canadian Surgical Technologies & Advanced Robotics, London Health Sciences Centre, London, Ont
| | - E Tang
- Western University, Canadian Surgical Technologies & Advanced Robotics, London Health Sciences Centre, London, Ont
| | - A Alnumay
- Western University, Canadian Surgical Technologies & Advanced Robotics, London Health Sciences Centre, London, Ont
| | - C Schlachta
- Western University, Canadian Surgical Technologies & Advanced Robotics, London Health Sciences Centre, London, Ont
| | - E Walser
- From Western University, London, Ont
| | - C Zhang
- From Western University, London, Ont
| | | | - M Ott
- From Western University, London, Ont
| | - A Lee
- From the University of Ottawa, Ottawa, Ont
| | - B Niu
- From the University of Ottawa, Ottawa, Ont
| | - F Balaa
- From the University of Ottawa, Ottawa, Ont
| | - N Gawad
- From the University of Ottawa, Ottawa, Ont
| | - K Ren
- From McMaster University, Hamilton, Ont
| | - Y Qiu
- From McMaster University, Hamilton, Ont
| | - K Hamann
- From McMaster University, Hamilton, Ont
| | - N How
- From McMaster University, Hamilton, Ont
| | | | | | - A Eqbal
- From McMaster University, Hamilton, Ont
| | | | | | | | - E Lee
- From McMaster University, Hamilton, Ont
| | - I Yang
- From McMaster University, Hamilton, Ont
| | - K Ren
- From McMaster University, Hamilton, Ont
| | - H Muaddi
- University of Toronto, Toronto, Ont
| | - T Stukel
- ICES, University of Toronto, Toronto, Ont
| | - C de Mestral
- St. Michael's Hospital, University of Toronto, Toronto, Ont
| | - A Nathens
- Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ont
| | - P Karanicolas
- Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ont
| | - J Frigault
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - S Lemieux
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - D Breton
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - P Bouchard
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - A Bouchard
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - R Grégoire
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - F Letarte
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - G Bouchard
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - S Drolet
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - J Frigault
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - S Avoine
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - S Drolet
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - F Letarte
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - A Bouchard
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - J Gagné
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - C Thibault
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - R Grégoire
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | | | - M Gosselin
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - P Bouchard
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | | | - T Stuleanu
- From the University of Ottawa, Ottawa, Ont
| | - A Jarrar
- From the University of Ottawa, Ottawa, Ont
| | | | | | - R Nenshi
- McMaster University, Hamilton, Ont
| | - A Jerath
- University of Toronto, Toronto, Ont
| | - D Gomez
- University of Toronto, Toronto, Ont
| | - K Singh
- University of Toronto, Toronto, Ont
| | - T Amir
- McMaster University, Hamilton, Ont
| | - E Liu
- McMaster University, Hamilton, Ont
| | | | - R Mao
- McMaster University, Hamilton, Ont
| | - L Lan
- McMaster University, Hamilton, Ont
| | - J Yan
- University of British Columbia, Vancouver, B.C
| | | | - A Mierzwa
- From the University of Alberta, Edmonton, Alta
| | - R Tin
- From the University of Alberta, Edmonton, Alta
| | - R Brisebois
- From the University of Alberta, Edmonton, Alta
| | - N Bradley
- From the University of Alberta, Edmonton, Alta
| | - R Wigen
- From Western University, London, Ont
| | - E Walser
- From Western University, London, Ont
| | | | | | - K Vogt
- From Western University, London, Ont
| | - R Hilsden
- From Western University, London, Ont
| | - N Parry
- From Western University, London, Ont
| | - L Allen
- From Western University, London, Ont
| | - K Leslie
- From Western University, London, Ont
| | - R Raskin
- From Dalhousie University, Halifax, N.S
| | - J Jones
- From Dalhousie University, Halifax, N.S
| | - K Neumann
- From Dalhousie University, Halifax, N.S
| | - C Dwyer
- University of Alberta, Edmonton, Alta
| | | | - N Bradley
- University of Alberta, Edmonton, Alta
| | | | - K Lobay
- University of Alberta, Edmonton, Alta
| | | | - E Chang
- University of Alberta, Edmonton, Alta
| | - S Widder
- University of Alberta, Edmonton, Alta
| | - R Anantha
- University of Alberta, Edmonton, Alta
| | - W Sun
- University of Alberta, Edmonton, Alta
| | - J Beck
- Royal Alexandra Hospital, Edmonton, Alta
| | - R Anantha
- University of Alberta, Edmonton, Alta
| | - R Liu
- From Western University, London, Ont
| | | | - S Jones
- From Western University, London, Ont
| | | | | | - M Ott
- From Western University, London, Ont
| | - E Schmitz
- From the University of Ottawa, Ottawa, Ont
| | - I Raiche
- From the University of Ottawa, Ottawa, Ont
| | - W Sun
- University of Alberta, Edmonton, Alta
| | | | - J Dang
- University of Alberta, Edmonton, Alta
| | - V Mocanu
- University of Alberta, Edmonton, Alta
| | - G Lutzak
- University of Alberta, Edmonton, Alta
| | | | - C Wong
- University of Alberta, Edmonton, Alta
| | - S Karmali
- University of Alberta, Edmonton, Alta
| | - E Schmitz
- From the University of Ottawa, Ottawa, Ont
| | - M Petrera
- From the University of Ottawa, Ottawa, Ont
| | - M Pickell
- From the University of Ottawa, Ottawa, Ont
| | - R Auer
- From the University of Ottawa, Ottawa, Ont
| | - N Patro
- From McMaster University, Hamilton, Ont
| | - B Li
- From McMaster University, Hamilton, Ont
| | - Y Lee
- From McMaster University, Hamilton, Ont
| | - H Wilson
- From the University of Alberta, Edmonton, Alta
| | - V Mocanu
- From the University of Alberta, Edmonton, Alta
| | - W Sun
- From the University of Alberta, Edmonton, Alta
| | - J Dang
- From the University of Alberta, Edmonton, Alta
| | - U Jogiat
- From the University of Alberta, Edmonton, Alta
| | - J Kung
- From the University of Alberta, Edmonton, Alta
| | - N Switzer
- From the University of Alberta, Edmonton, Alta
| | - S Karmali
- From the University of Alberta, Edmonton, Alta
| | - C Wong
- From the University of Alberta, Edmonton, Alta
| | - C Li
- University of Alberta, Edmonton, Alta
| | | | - A Cieply
- University of Alberta, Edmonton, Alta
| | - H Hawes
- University of British Columbia, Vancouver, B.C
| | - E Joos
- University of British Columbia, Vancouver, B.C
| | - A Saleh
- University of Alberta, Edmonton, Alta
| | - C Li
- University of Alberta, Edmonton, Alta
| | - A Saleh
- University of Alberta, Edmonton, Alta
| | - P Engels
- McMaster University, Hamilton, Ont
| | - J Drung
- From the University of Western Ontario, London, Ont
| | - L Allen
- From the University of Western Ontario, London, Ont
| | - K Leslie
- From the University of Western Ontario, London, Ont
| | - G Pang
- From Western University, London, Ont
| | - M Kwong
- From Western University, London, Ont
| | | | | | - J Hawel
- From Western University, London, Ont
| | - A Elnahas
- From Western University, London, Ont
| | | | | | - S Chadi
- University of Toronto, Toronto, Ont
| | | | - D Chang
- Harvard University, Cambridge, Mass
| | - M Hutter
- Harvard University, Cambridge, Mass
| | - R Spence
- Dalhousie University, Halifax, N.S
| | | | - M Boutros
- Jewish General Hospital, Montreal, Que
| | | | - N Morin
- Jewish General Hospital, Montreal, Que
| | - Y Longtin
- Jewish General Hospital, Montreal, Que
| | - S Liberman
- McGill University Health Centre, Montreal, Que
| | | | | | - M Poirier
- Hôpital Maisonneuve-Rosemont, Université de Montréal, Montreal, Que
| | | | - H Sebajang
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - R Younan
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - F Schwenter
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - E De Broux
- Centre hospitalier de l'Université de Montreal, Montreal, Que
| | - K Larsen
- University of Toronto, Toronto, Ont
| | | | | | - J Nantais
- University of Manitoba, Winnipeg, Man
| | - D Gomez
- University of Toronto, Toronto, Ont
| | - L Lan
- McMaster University, Hamilton, Ont
| | - R Mao
- McMaster University, Hamilton, Ont
| | - J Kay
- McMaster University, Hamilton, Ont
| | - R Lohre
- University of British Columbia, Vancouver, B.C
| | - O Ayeni
- McMaster University, Hamilton, Ont
| | - D Goel
- University of British Columbia, Vancouver, B.C
| | - D de Sa
- McMaster University, Hamilton, Ont
| | - R He
- University of Alberta, Edmonton, Alta
| | - D Hylton
- McMaster University, Hamilton, Ont
| | - E Bedard
- University of Alberta, Edmonton, Alta
| | - S Johnson
- University of Alberta, Edmonton, Alta
| | - B Laing
- University of Alberta, Edmonton, Alta
| | - A Valji
- University of Alberta, Edmonton, Alta
| | | | - S Turner
- University of Alberta, Edmonton, Alta
| | | | | | | | | | | | | | | | - V Gupta
- University of Toronto, Toronto, Ont
| | - B Kidane
- University of Manitoba, Winnipeg, Man
| | | | | | | | | | - Y Patel
- McMaster University, Hamilton, Ont
| | | | - D Hylton
- McMaster University, Hamilton, Ont
| | - F Xie
- McMaster University, Hamilton, Ont
| | - A Seely
- University of Ottawa, Ottawa, Ont
| | - J Spicer
- McGill University, Montreal, Que
| | - B Kidane
- University of Manitoba, Winnipeg, Man
| | - S Turner
- University of Alberta, Edmonton, Alta
| | | | - W Hanna
- McMaster University, Hamilton, Ont
| | - U Jogiat
- From the University of Alberta, Edmonton, Alta
| | - W Sun
- From the University of Alberta, Edmonton, Alta
| | - J Dang
- From the University of Alberta, Edmonton, Alta
| | - V Mocanu
- From the University of Alberta, Edmonton, Alta
| | - J Kung
- From the University of Alberta, Edmonton, Alta
| | - S Karmali
- From the University of Alberta, Edmonton, Alta
| | - S Turner
- From the University of Alberta, Edmonton, Alta
| | - N Switzer
- From the University of Alberta, Edmonton, Alta
| | - Y Patel
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - I Churchill
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - K Sullivan
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - M Beauchamp
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - J Wald
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - L Mbuagbaw
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - J Agzarian
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - Y Shargall
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - C Finley
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - C Fahim
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - W Hanna
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - M Abbas
- From McMaster University, Hamilton, Ont
| | - O Olaiya
- From McMaster University, Hamilton, Ont
| | - H Begum
- From McMaster University, Hamilton, Ont
| | | | - C Finley
- From McMaster University, Hamilton, Ont
| | - W Hanna
- From McMaster University, Hamilton, Ont
| | | | | | - A Ednie
- Western University, London, Ont
| | - D Palma
- Western University, London, Ont
| | | | | | | | - M Qiabi
- Western University, London, Ont
| | - R Nayak
- Western University, London, Ont
| | | | - A Louie
- Sunnybrook Health Sciences Centre
| | | | | | - J Laba
- Western University, London, Ont
| | | | - J Alaichi
- From McMaster University, Hamilton, Ont
| | - Y Patel
- From McMaster University, Hamilton, Ont
| | - W Hanna
- From McMaster University, Hamilton, Ont
| | - S Turner
- From the University of Alberta, Edmonton, Alta
| | - B Mador
- From the University of Alberta, Edmonton, Alta
| | - H Lai
- From the University of Alberta, Edmonton, Alta
| | - J White
- From the University of Alberta, Edmonton, Alta
| | - M Kim
- From the University of Alberta, Edmonton, Alta
| | | | - B Kidane
- University of Manitoba, Winnipeg, Man
| | - A Louie
- Sunnybrook Health Sciences Centre, Toronto, Ont
| | - V Zuk
- Sunnybrook Health Sciences Centre, Toronto, Ont
| | - G Darling
- Toronto General Hospital, Toronto, Ont
| | | | - T Chesney
- St. Michael's Hospital, Toronto, Ont
| | - N Coburn
- Sunnybrook Health Sciences Centre, Toronto, Ont
| | - J Hallet
- Sunnybrook Health Sciences Centre, Toronto, Ont
| | - Y Lee
- McMaster University, Hamilton, Ont
| | | | - M Lee
- University of Toronto, Toronto, Ont
| | - L Thiru
- McMaster University, Hamilton, Ont
| | | | - C Finley
- McMaster University, Hamilton, Ont
| | - W Hanna
- McMaster University, Hamilton, Ont
| | - O Levine
- McMaster University, Hamilton, Ont
| | | | | | - R Nayak
- Western University, London, Ont
| | - S Brogly
- Queen's University, Kingston, Ont
| | - W Li
- ICES Queen's, Kingston, Ont
| | | | | | - N Mistry
- From McMaster University, Hamilton, Ont
| | - A Gatti
- From McMaster University, Hamilton, Ont
| | | | - Y Patel
- From McMaster University, Hamilton, Ont
| | - W Hanna
- From McMaster University, Hamilton, Ont
| | - S Abdul
- University of Ottawa, Ottawa, Ont
| | - C Anestee
- Ottawa Hospital Research Institute, Ottawa, Ont
| | | | | | - A Seely
- University of Ottawa, Ottawa, Ont
| | | | - D Maziak
- University of Ottawa, Ottawa, Ont
| | - R Razzak
- University of Manitoba, Winnipeg, Man
| | - A Ashrafi
- University of British Columbia, Vancouver, B.C
| | | | | | - S Stone
- University of British Columbia, Vancouver, B.C
| | | | - T Bong
- Fraser Health Authority, B.C
| | - R Bond
- University of British Columbia, Vancouver, B.C
| | - A Hafizi
- Surrey Thoracic Surgery Group, Surrey, B.C
| | - M De Meo
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - R Rayes
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - S Milette
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - M Vagai
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - M Usatii
- Research Institute of the McGill University Health Centre, Montreal, Que
| | | | - B Giannias
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - F Bourdeau
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - V Sangwan
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - N Bertos
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - C Moraes
- McGill University, Montreal, Que
| | - S Huang
- McGill University, Montreal, Que
| | - D Quail
- McGill University, Montreal, Que
| | - L Walsh
- McGill University, Montreal, Que
| | - S Camilleri-Broet
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - P Fiset
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - J Cools-Lartigue
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - L Ferri
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - J Spicer
- Research Institute of the McGill University Health Centre, Montreal, Que
| | - A Kammili
- McGill University Health Centre, Montreal, Que
| | - E Bilgic
- McGill University Health Centre, Montreal, Que
| | | | | | - S Najmeh
- McGill University Health Centre, Montreal, Que
| | - C Mueller
- McGill University Health Centre, Montreal, Que
| | - L Esther
- From McMaster University, Hamilton, Ont
| | - H Begum
- From McMaster University, Hamilton, Ont
| | | | - W Hanna
- From McMaster University, Hamilton, Ont
| | - C Finley
- From McMaster University, Hamilton, Ont
| | | | - Y Lee
- McMaster University, Hamilton, Ont
| | - J Lu
- University of Toronto, Toronto, Ont
| | - R Malhan
- McMaster University, Hamilton, Ont
| | | | - C Finley
- McMaster University, Hamilton, Ont
| | - W Hanna
- McMaster University, Hamilton, Ont
| | | | - S Brophy
- From Dalhousie University, Halifax, N.S
| | - K Brennan
- From Dalhousie University, Halifax, N.S
| | - D French
- From Dalhousie University, Halifax, N.S
| | - V Resende
- Ottawa Hospital Research Institute, Ottawa, Ont
| | | | - O Solaja
- The Ottawa Hospital, Ottawa, Ont
| | | | - D Maziak
- The Ottawa Hospital, Ottawa, Ont
| | - A Seely
- The Ottawa Hospital, Ottawa, Ont
| | | | | | - D Sisson
- From the University of Toronto, Toronto, Ont
| | - L Donahoe
- From the University of Toronto, Toronto, Ont
| | - P Bedard
- From the University of Toronto, Toronto, Ont
| | - A Hansen
- From the University of Toronto, Toronto, Ont
| | - M De Perrot
- From the University of Toronto, Toronto, Ont
| | | | - A Simone
- University of Ottawa, Ottawa, Ont
| | - H Begum
- McMaster University, Hamilton, Ont
| | - W Hanna
- McMaster University, Hamilton, Ont
| | | | - S Turner
- University of Alberta, Edmonton, Alta
| | - J Huang
- Memorial Sloan Kettering Cancer Center, New York, N.Y
| | - H Lai
- University of Alberta, Edmonton, Alta
| | - E Bedard
- University of Alberta, Edmonton, Alta
| | | | - S Murthy
- Cleveland Clinic, Cleveland, Ohio
| | - J Lin
- University of Michigan, Ann Arbor, Mich
| | | | | | - B Kidane
- University of Manitoba, Winnipeg, Man
| | - A Seely
- University of Ottawa, Ottawa, Ont
| | - H Li
- Beijing Chao-yang Hospital, Capital Medical University, Beijing, China
| | | | | | - E Lau
- McMaster University, Hamilton, Ont
| | | | - W Hanna
- McMaster University, Hamilton, Ont
| | - C Finley
- McMaster University, Hamilton, Ont
| | | | | | | | - V Gupta
- University of Toronto, Toronto, Ont
| | | | - L Davis
- McGill University, Montreal, Que
| | | | - B Kidane
- University of Toronto, Toronto, Ont
| | - G Darling
- University Health Network, Toronto, Ont
| | - N Coburn
- Sunnybrook Health Sciences Centre, Toronto, Ont
| | - C Huynh
- From McGill University, Montreal, Que
| | | | - L Ferri
- From McGill University, Montreal, Que
| | - S Najmeh
- From McGill University, Montreal, Que
| | - C Sirois
- From McGill University, Montreal, Que
| | - D Mulder
- From McGill University, Montreal, Que
| | - J Spicer
- From McGill University, Montreal, Que
| | | | | | - D Nguyen
- From the University of Ottawa, Ottawa, Ont
| | - C Anstee
- From the University of Ottawa, Ottawa, Ont
| | - E Delic
- From the University of Ottawa, Ottawa, Ont
| | - S Gilbert
- From the University of Ottawa, Ottawa, Ont
| | - D Maziak
- From the University of Ottawa, Ottawa, Ont
| | | | - A Seely
- From the University of Ottawa, Ottawa, Ont
| | - D Sisson
- University of Toronto, Toronto, Ont
| | | | | | - D Low
- Virginia Mason Medical Center, Seattle, Wash
| | | | - S Turner
- University of Alberta, Edmonton, Alta
| | - M Humer
- From the University of British Columbia, Kelowna, B.C
| | - S Abdul
- University of Ottawa, Ottawa, Ont
| | - D Nguyen
- University of Ottawa, Ottawa, Ont
| | - A Al Rawahi
- Department of Surgery, University of Ottawa, Ottawa, Ont
| | - C Anstee
- Ottawa Hospital Research Institute, Ottawa, Ont
| | - E Delic
- Ottawa Hospital Research Institute, Ottawa, Ont
| | | | | | - D Maziak
- University of Ottawa, Ottawa, Ont
| | - A Seely
- University of Ottawa, Ottawa, Ont
| | | | | | | | - C Anstee
- Ottawa Hospital Research Institute, Ottawa, Ont
| | - E Delic
- Ottawa Hospital Research Institute, Ottawa, Ont
| | | | | | - D Maziak
- University of Ottawa, Ottawa, Ont
| | - A Seely
- University of Ottawa, Ottawa, Ont
| | - Y Patel
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - M Kay
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - I Churchill
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - K Sullivan
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - Y Shargall
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - B Shayegan
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - A Adili
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | - W Hanna
- From McMaster University and St. Joseph's Healthcare Hamilton, Hamilton, Ont
| | | | - C Huynh
- From McGill University, Montreal, Que
| | | | | | - F Maleki
- From McGill University, Montreal, Que
| | - K Ovens
- From McGill University, Montreal, Que
| | - M Gold
- From McGill University, Montreal, Que
| | - M Sorin
- From McGill University, Montreal, Que
| | - R Falutz
- From McGill University, Montreal, Que
| | - R Rayes
- From McGill University, Montreal, Que
| | | | - J Spicer
- From McGill University, Montreal, Que
| | - N Hunka
- From the University of Saskatchewan, Saskatoon, Sask
| | - R Kennedy
- From the University of Saskatchewan, Saskatoon, Sask
| | - R Bigsby
- From the University of Saskatchewan, Saskatoon, Sask
| | - S Bharadwaj
- From the University of Saskatchewan, Saskatoon, Sask
| | - S Gowing
- From the University of Saskatchewan, Saskatoon, Sask
| | | | - A Gatti
- From McMaster University, Hamilton, Ont
| | - D Hylton
- From McMaster University, Hamilton, Ont
| | | | - Y Patel
- From McMaster University, Hamilton, Ont
| | | | | | - W Hanna
- From McMaster University, Hamilton, Ont
| | - C Finley
- From McMaster University, Hamilton, Ont
| | - H Begum
- From McMaster University, Hamilton, Ont
| | - K Pearce
- From McMaster University, Hamilton, Ont
| | | | - W Hanna
- From McMaster University, Hamilton, Ont
| | | | | | - D Jones
- From The Ottawa Hospital, Ottawa, Ont
| | - C Anstee
- From The Ottawa Hospital, Ottawa, Ont
| | - S Kumar
- From The Ottawa Hospital, Ottawa, Ont
| | | | - A Simone
- From The Ottawa Hospital, Ottawa, Ont
| | | | - K Thavorn
- From The Ottawa Hospital, Ottawa, Ont
| | - A Seely
- From The Ottawa Hospital, Ottawa, Ont
| | - V Gupta
- From the University of Toronto, Toronto, Ont
| | | | - A Mohammed
- From the University of Toronto, Toronto, Ont
| | - S Uddin
- From the University of Toronto, Toronto, Ont
| | - D Jones
- From the University of Toronto, Toronto, Ont
| | - A Behzadi
- From the University of Toronto, Toronto, Ont
| | - A Brar
- From the University of Toronto, Toronto, Ont
| | - L Qu
- From Western University, London, Ont
| | - M Qiabi
- From Western University, London, Ont
| | - R Nayak
- From Western University, London, Ont
| | | | - E Peters
- From the University of Manitoba, Winnipeg, Man
| | - G Buduhan
- From the University of Manitoba, Winnipeg, Man
| | - L Tan
- From the University of Manitoba, Winnipeg, Man
| | - R Liu
- From the University of Manitoba, Winnipeg, Man
| | - S Srinathan
- From the University of Manitoba, Winnipeg, Man
| | - B Kidane
- From the University of Manitoba, Winnipeg, Man
| | - V Gupta
- University of Toronto, Toronto, Ont
| | - J Levy
- University of Toronto, Toronto, Ont
| | - B Kidane
- University of Manitoba, Winnipeg, Man
| | - A Mahar
- University of Manitoba, Winnipeg, Man
| | | | | | | | - N Coburn
- University of Toronto, Toronto, Ont
| | - M Robinson
- From the University of Manitoba, Winnipeg, Man
| | - L Bednarek
- From the University of Manitoba, Winnipeg, Man
| | - G Buduhan
- From the University of Manitoba, Winnipeg, Man
| | - R Liu
- From the University of Manitoba, Winnipeg, Man
| | - L Tan
- From the University of Manitoba, Winnipeg, Man
| | - S Srinathan
- From the University of Manitoba, Winnipeg, Man
| | - B Kidane
- From the University of Manitoba, Winnipeg, Man
| | - H Wang
- From Dalhousie University, Halifax, N.S
| | - D French
- From Dalhousie University, Halifax, N.S
| | | | - K Graham
- From the University of Manitoba, Winnipeg, Man
| | - S Enns
- From the University of Manitoba, Winnipeg, Man
| | - G Buduhan
- From the University of Manitoba, Winnipeg, Man
| | - S Srinathan
- From the University of Manitoba, Winnipeg, Man
| | - R Liu
- From the University of Manitoba, Winnipeg, Man
| | - A Tan
- From the University of Manitoba, Winnipeg, Man
| | - B Kidane
- From the University of Manitoba, Winnipeg, Man
| | | | - E Poole
- University of Manitoba, Winnipeg, Man
| | - C Pascoe
- Children's Hospital Research Institute of Manitoba, Winnipeg, Man
| | - T Karakach
- Children's Hospital Research Institute of Manitoba, Winnipeg, Man
| | - G Buduhan
- University of Manitoba, Winnipeg, Man
| | - L Tan
- University of Manitoba, Winnipeg, Man
| | | | - A Halayko
- Children's Hospital Research Institute of Manitoba, Winnipeg, Man
| | - B Kidane
- University of Manitoba, Winnipeg, Man
| | - K Verhoeff
- From the University of Alberta, Edmonton, Alta
| | - V Mocanu
- From the University of Alberta, Edmonton, Alta
| | - B Fang
- From the University of Alberta, Edmonton, Alta
| | - J Dang
- From the University of Alberta, Edmonton, Alta
| | - J Kung
- From the University of Alberta, Edmonton, Alta
| | - N Switzer
- From the University of Alberta, Edmonton, Alta
| | - D Birch
- From the University of Alberta, Edmonton, Alta
| | - S Karmali
- From the University of Alberta, Edmonton, Alta
| | - G Johnson
- From the University of Manitoba, Winnipeg, Man
| | - H Singh
- From the University of Manitoba, Winnipeg, Man
| | - A Vergis
- From the University of Manitoba, Winnipeg, Man
| | - J Park
- From the University of Manitoba, Winnipeg, Man
| | - O Hershorn
- From the University of Manitoba, Winnipeg, Man
| | - D Hochman
- From the University of Manitoba, Winnipeg, Man
| | - R Helewa
- From the University of Manitoba, Winnipeg, Man
| | - G Johnson
- From the University of Manitoba, Winnipeg, Man
| | - R Robertson
- From the University of Manitoba, Winnipeg, Man
| | - A Vergis
- From the University of Manitoba, Winnipeg, Man
| | - G Johnson
- From the University of Manitoba, Winnipeg, Man
| | - A Vergis
- From the University of Manitoba, Winnipeg, Man
| | - H Singh
- From the University of Manitoba, Winnipeg, Man
| | - J Park
- From the University of Manitoba, Winnipeg, Man
| | - R Helewa
- From the University of Manitoba, Winnipeg, Man
| | - A Azin
- From the University of Toronto, Toronto, Ont
| | - C Cahill
- University of Calgary, Calgary, Alta
| | - M Lipson
- University of Calgary, Calgary, Alta
| | - A Afzal
- University of Calgary, Calgary, Alta
| | - A Maclean
- University of Calgary, Calgary, Alta
| | - C Wong
- University of Alberta, Edmonton, Alta
| | - S Roen
- University of Calgary, Calgary, Alta
| | - W Buie
- University of Calgary, Calgary, Alta
| | | | | | - M Chu
- From McMaster University, Hamilton, Ont
| | - Y Lee
- From McMaster University, Hamilton, Ont
| | - N Amin
- From McMaster University, Hamilton, Ont
| | - D Hong
- From McMaster University, Hamilton, Ont
| | | | | | - K Ramji
- McMaster University, Hamilton, Ont
| | - C Kruse
- McMaster University, Hamilton, Ont
| | - H Jaffer
- University of Toronto, Toronto, Ont
| | | | - N Amin
- McMaster University, Hamilton, Ont
| | | | - D Hong
- McMaster University, Hamilton, Ont
| | | | - R Hajjar
- Centre de recherche du Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - M Oliero
- Centre de recherche du Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - T Cuisiniere
- Centre de recherche du Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - G Fragoso
- Centre de recherche du Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - A Calvé
- Centre de recherche du Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - S Djediai
- Université du Québec à Montréal, Montreal, Que
| | - B Annabi
- Université du Québec à Montréal, Montreal, Que
| | - C Richard
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - M Santos
- Centre de recherche du Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - K Purich
- From the University of Alberta, Edmonton, Alta
| | - Y Zhou
- From the University of Alberta, Edmonton, Alta
| | - S Dodd
- From the University of Alberta, Edmonton, Alta
| | - B Ring
- From the University of Alberta, Edmonton, Alta
| | - Y Yuan
- From the University of Alberta, Edmonton, Alta
| | - J White
- From the University of Alberta, Edmonton, Alta
| | | | | | | | - N Morin
- Jewish General Hospital, Montreal, Que
| | | | - J Faria
- Jewish General Hospital, Montreal, Que
| | | | | | - M Boutros
- Jewish General Hospital, Montreal, Que
| | | | - E Salama
- Jewish General Hospital, Montreal, Que
| | | | - N Morin
- Jewish General Hospital, Montreal, Que
| | | | - J Faria
- Jewish General Hospital, Montreal, Que
| | | | - M Boutros
- Jewish General Hospital, Montreal, Que
| | - G Talwar
- McMaster University, Hamilton, Ont
| | - R Daniel
- University of Toronto, Toronto, Ont
| | | | - O Levine
- McMaster University, Hamilton, Ont
| | | | | | | | | | | | | | - N Morin
- From McGill University, Montreal, Que
| | - M Boutros
- From McGill University, Montreal, Que
| | | | - A Chen
- McMaster University, Hamilton, Ont
| | - A Patel
- Western University, London, Ont
| | - Y Lee
- McMaster University, Hamilton, Ont
| | | | - D Hong
- McMaster University, Hamilton, Ont
| | | | | | | | | | - J Moon
- Jewish General Hospital, Montreal, Que
| | - M Demian
- Jewish General Hospital, Montreal, Que
| | | | - N Morin
- Jewish General Hospital, Montreal, Que
| | - M Boutros
- Jewish General Hospital, Montreal, Que
| | - R Selvam
- University of Ottawa, Ottawa, Ont
| | - H Moloo
- University of Ottawa, Ottawa, Ont
| | - H MacRae
- University of Toronto, Toronto, Ont
| | - F Alam
- University of Toronto, Toronto, Ont
| | - I Raiche
- University of Ottawa, Ottawa, Ont
| | - J Holland
- From McGill University, Montreal, Que
| | - M Cwintal
- From McGill University, Montreal, Que
| | - G Rigas
- From McGill University, Montreal, Que
| | | | - N Morin
- From McGill University, Montreal, Que
| | | | - J Faria
- From McGill University, Montreal, Que
| | - A Pang
- From McGill University, Montreal, Que
| | - M Boutros
- From McGill University, Montreal, Que
| | - J Holland
- From McGill University, Montreal, Que
| | - J Moon
- From McGill University, Montreal, Que
| | | | - N Morin
- From McGill University, Montreal, Que
| | | | - A Pang
- From McGill University, Montreal, Que
| | | | - M Boutros
- From McGill University, Montreal, Que
| | - C Brown
- From St. Paul's Hospital, Vancouver, B.C
| | | | - M Raval
- From St. Paul's Hospital, Vancouver, B.C
| | - P Phang
- From St. Paul's Hospital, Vancouver, B.C
| | - A Ghuman
- From St. Paul's Hospital, Vancouver, B.C
| | - M Li
- University of Calgary, Calgary, Alta
| | - S Muncner
- University of Alberta, Edmonton, Alta
| | | | - M Dykstra
- University of Alberta, Edmonton, Alta
| | | | - H Wang
- University of Alberta, Edmonton, Alta
| | - O Monton
- McMaster University, Hamilton, Ont
| | - A Smith
- Western University, London, Ont
| | - J Moon
- McGill University, Montreal, Que
| | - M Demian
- McGill University, Montreal, Que
| | | | | | | | | | - O AlAamer
- From King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - N AlSelaim
- From King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - M AlMalki
- From King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - A Al-Osail
- From King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - R Ruxton
- From Southland Hospital, Invercargill, New Zealand
| | - P Manuel
- From Southland Hospital, Invercargill, New Zealand
| | - F Mohamed
- From Southland Hospital, Invercargill, New Zealand
| | | | - S Serahati
- University of Saskatchewan, Saskatoon, Saskatchewan
| | | | - C Brown
- Providence Health Care, Vancouver, B.C
| | - M Raval
- Providence Health Care, Vancouver, B.C
| | | | - A Ghuman
- Providence Health Care, Vancouver, B.C
| | - T Phang
- Providence Health Care, Vancouver, B.C
| | | | - J Moon
- McGill University, Montreal, Que
| | | | - S Chadi
- University Health Network, Toronto, Ont
| | - K Alavi
- University of Massachusetts, Amherst, Mass
| | - I Paquette
- University of Cincinnati, Cincinnati, Ohio
| | - T MacLean
- University of Calgary, Calgary, Alta
| | - S Wexner
- Cleveland Clinic Florida, Weston, Fla
| | | | - S Steele
- Cleveland Clinic, Cleveland, Ohio
| | - J Park
- University of Manitoba, Winnipeg, Man
| | - S Patel
- Queen's University, Kingston, Ont
| | | | - R Auer
- The Ottawa Hospital, Ottawa, Ont
| | - P Sylla
- Icahn School of Medicine at Mount Sinai, New York, N.Y
| | - N Morin
- McGill University, Montreal, Que
| | - A Ghuman
- McGill University, Montreal, Que
| | | | - Z Bayat
- From the University of Toronto, Toronto, Ont
| | - E Kennedy
- From the University of Toronto, Toronto, Ont
| | - C Victor
- From the University of Toronto, Toronto, Ont
| | | | - J Liang
- From McGill University, Montreal, Que
| | | | - A Pang
- From McGill University, Montreal, Que
| | | | - J Faria
- From McGill University, Montreal, Que
| | - N Morin
- From McGill University, Montreal, Que
| | - M Boutros
- From McGill University, Montreal, Que
| | | | - H Roy
- University of Saskatchewan, Saskatoon, Sask
| | - Z Baig
- University of Saskatchewan, Saskatoon, Sask
| | | | - M Raval
- University of British Columbia, Vancouver, B.C
| | - C Brown
- University of British Columbia, Vancouver, B.C
| | - T Phang
- University of British Columbia, Vancouver, B.C
| | - D Gill
- University of Saskatchewan, Saskatoon, Sask
| | - N Ginther
- University of Saskatchewan, Saskatoon, Sask
| | - J Moon
- From McGill University, Montreal, Que
| | | | - A Pang
- From McGill University, Montreal, Que
| | | | - J Faria
- From McGill University, Montreal, Que
| | - N Morin
- From McGill University, Montreal, Que
| | | | - M Boutros
- From McGill University, Montreal, Que
| | - J Moon
- From McGill University, Montreal, Que
| | - A Pang
- From McGill University, Montreal, Que
| | | | - J Faria
- From McGill University, Montreal, Que
| | - N Morin
- From McGill University, Montreal, Que
| | | | - M Boutros
- From McGill University, Montreal, Que
| | - E Salama
- From McGill University, Montreal, Que
| | | | | | | | - J Faria
- From McGill University, Montreal, Que
| | - N Morin
- From McGill University, Montreal, Que
| | - M Boutros
- From McGill University, Montreal, Que
| | - V Wiseman
- From Queen's University, Kingston, Ont
| | - L Zhang
- From Queen's University, Kingston, Ont
| | | | | | | | | | - S V Patel
- From Queen's University, Kingston, Ont
| | - Z Harra
- From McGill University, Montreal, Que
| | | | | | - N Morin
- From McGill University, Montreal, Que
| | - M Boutros
- From McGill University, Montreal, Que
| | - A Pang
- From McGill University, Montreal, Que
| | - M Hegagi
- From McGill University, Montreal, Que
| | | | - N Morin
- From McGill University, Montreal, Que
| | | | | | - M Boutros
- From McGill University, Montreal, Que
| | | | | | | | - A Pang
- From McGill University, Montreal, Que
| | | | - M Boutros
- From McGill University, Montreal, Que
| | | | - N Kasteel
- University of Calgary, Calgary, Alta
| | - G Kaur
- University of Calgary, Calgary, Alta
| | - S Bindra
- University of Calgary, Calgary, Alta
| | - A Malhotra
- Vardhman Mahavir Medical College, New Delhi, India
| | - C Graham
- University of Calgary, Calgary, Alta
| | - A MacLean
- University of Calgary, Calgary, Alta
| | - P Beck
- University of Calgary, Calgary, Alta
| | - H Jijon
- University of Calgary, Calgary, Alta
| | - J Ferraz
- University of Calgary, Calgary, Alta
| | - W Buie
- University of Calgary, Calgary, Alta
| | - R Szwimer
- From McGill University, Montreal, Que
| | - J Moon
- From McGill University, Montreal, Que
| | - M Demian
- From McGill University, Montreal, Que
| | - A Pang
- From McGill University, Montreal, Que
| | - N Morin
- From McGill University, Montreal, Que
| | | | | | - M Boutros
- From McGill University, Montreal, Que
| | - A Azin
- From the University of Toronto, Toronto, Ont
| | | | - W Kong
- Queen's Cancer Research Institute, Kingston, Ont
| | | | - T Hanna
- Queen's University, Kingston, Ont
| | - W Chung
- Queen's University, Kingston, Ont
| | - S Nanji
- Queen's University, Kingston, Ont
| | - S Patel
- Queen's University, Kingston, Ont
| | - C Booth
- Queen's University, Kingston, Ont
| | - V Li
- From McMaster University, Hamilton, Ont
| | - A Awan
- From McMaster University, Hamilton, Ont
| | - P Serrano
- From McMaster University, Hamilton, Ont
| | - M Jacobson
- From the University of Calgary, Calgary, Alta
| | - M Chanco
- From the University of Calgary, Calgary, Alta
| | - V Wen
- From the University of Calgary, Calgary, Alta
| | - N Singh
- From the University of Calgary, Calgary, Alta
| | - L Peiris
- From the University of Calgary, Calgary, Alta
| | - J Pasieka
- From the University of Calgary, Calgary, Alta
| | - P Ghatage
- From the University of Calgary, Calgary, Alta
| | - D Buie
- From the University of Calgary, Calgary, Alta
| | - T MacLean
- From the University of Calgary, Calgary, Alta
| | | | - L Mack
- From the University of Calgary, Calgary, Alta
| | - W Marini
- From the University of Toronto, Toronto, Ont
| | - W Zheng
- From the University of Toronto, Toronto, Ont
| | - C Swallow
- From the University of Toronto, Toronto, Ont
| | - M Reedijk
- From the University of Toronto, Toronto, Ont
| | | | - L Peiris
- From the University of Alberta, Edmonton, Alta
| | | | - L Delmar
- From the University of Alberta, Edmonton, Alta
| | - N Gagnon
- Université de Sherbrooke, Sherbrooke, Que
| | | | | | | | | | | | - S Mysuria
- From the University of British Columbia, Vancouver, B.C
| | - A Bazzarelli
- From the University of British Columbia, Vancouver, B.C
| | - J Pao
- From the University of British Columbia, Vancouver, B.C
| | - L Chen
- From the University of British Columbia, Vancouver, B.C
| | - M Zhang
- From the University of British Columbia, Vancouver, B.C
| | - E McKevitt
- From the University of British Columbia, Vancouver, B.C
| | - R Warburton
- From the University of British Columbia, Vancouver, B.C
| | - U Kuusk
- From the University of British Columbia, Vancouver, B.C
| | - N Van Laeken
- From the University of British Columbia, Vancouver, B.C
| | - E Bovill
- From the University of British Columbia, Vancouver, B.C
| | - K Isaac
- From the University of British Columbia, Vancouver, B.C
| | - C Dingee
- From the University of British Columbia, Vancouver, B.C
| | | | | | | | - L Barbera
- University of Calgary, Calgary, Alta
| | - Y Efegoma
- University of Calgary, Calgary, Alta
| | - D Howell
- Princess Margaret Research Institute, Toronto, Ont
| | | | | | - A Scheer
- St. Michael's Hospital, Toronto, Ont
| | - C Simmons
- University of British Columbia, Vancouver, B.C
| | | | | | - Y Xu
- University of Calgary, Calgary, Alta
| | | | - M Quan
- University of Calgary, Calgary, Alta
| | - A Alqaydi
- From Queen's University, Kingston, Ont
| | - J la
- From Queen's University, Kingston, Ont
| | | | - G Digby
- From Queen's University, Kingston, Ont
| | - V Pravong
- University of Montreal, Montreal, Que
| | | | - L Sidéris
- Maisonneuve-Rosemont Hospital, Montreal, Que
| | - P Dubé
- Maisonneuve-Rosemont Hospital, Montreal, Que
| | | | - S Fortin
- University of Montreal, Montreal, Que
| | - M Auclair
- University of Montreal, Montreal, Que
| | - B Trilling
- Maisonneuve-Rosemont Hospital, Montreal, Que
| | - J Tremblay
- Maisonneuve-Rosemont Hospital, Montreal, Que
| | - É Di Lena
- From McGill University, Montreal, Que
| | - B Hopkins
- From McGill University, Montreal, Que
| | - S Wong
- From McGill University, Montreal, Que
| | | | - É Di Lena
- From McGill University, Montreal, Que
| | - N Barone
- From McGill University, Montreal, Que
| | - B Hopkins
- From McGill University, Montreal, Que
| | - S Dumitra
- From McGill University, Montreal, Que
| | - P Kaneva
- From McGill University, Montreal, Que
| | - J Fiore
- From McGill University, Montreal, Que
| | | | - S Mysuria
- From the University of British Columbia, Vancouver, B.C
| | - E McKevitt
- From the University of British Columbia, Vancouver, B.C
| | - R Warburton
- From the University of British Columbia, Vancouver, B.C
| | - L Chen
- From the University of British Columbia, Vancouver, B.C
| | - A Bazzarelli
- From the University of British Columbia, Vancouver, B.C
| | - J Pao
- From the University of British Columbia, Vancouver, B.C
| | - E Bovill
- From the University of British Columbia, Vancouver, B.C
| | - M Zhang
- From the University of British Columbia, Vancouver, B.C
| | - U Kuusk
- From the University of British Columbia, Vancouver, B.C
| | - K Isaac
- From the University of British Columbia, Vancouver, B.C
| | - N Van Laeken
- From the University of British Columbia, Vancouver, B.C
| | - C Dingee
- From the University of British Columbia, Vancouver, B.C
| | - H Kapur
- From the University of British Columbia, Vancouver, B.C
| | - E McKevitt
- From the University of British Columbia, Vancouver, B.C
| | - R Warburton
- From the University of British Columbia, Vancouver, B.C
| | - J Pao
- From the University of British Columbia, Vancouver, B.C
| | - C Dingee
- From the University of British Columbia, Vancouver, B.C
| | - A Bazarelli
- From the University of British Columbia, Vancouver, B.C
| | - U Kuusk
- From the University of British Columbia, Vancouver, B.C
| | - L Chen
- From the University of British Columbia, Vancouver, B.C
| | - L Cadili
- From the University of British Columbia, Vancouver, B.C
| | - K DeGirolamo
- From the University of British Columbia, Vancouver, B.C
| | - E McKevitt
- From the University of British Columbia, Vancouver, B.C
| | - J Pao
- From the University of British Columbia, Vancouver, B.C
| | - C Dingee
- From the University of British Columbia, Vancouver, B.C
| | - A Bazzarelli
- From the University of British Columbia, Vancouver, B.C
| | - R Warburton
- From the University of British Columbia, Vancouver, B.C
| | - D Ng
- From the University of Toronto, Toronto, Ont
| | - A Ali
- From the University of Toronto, Toronto, Ont
| | - D Eymae
- From the University of Toronto, Toronto, Ont
| | - K Lee
- From the University of Toronto, Toronto, Ont
| | - S Brar
- From the University of Toronto, Toronto, Ont
| | - J Conner
- From the University of Toronto, Toronto, Ont
| | - M Magalhaes
- From the University of Toronto, Toronto, Ont
| | - C Swallow
- From the University of Toronto, Toronto, Ont
| | - K Allen
- From the University of British Columbia, Vancouver, B.C
| | - C Baliski
- From the University of British Columbia, Vancouver, B.C
| | - D Cyr
- University of Toronto, Toronto, Ont
| | - A Sari
- Sinai Health System, Toronto, Ont
| | | | - D Driman
- London Health Sciences Centre, London, Ont
| | | | - A Juda
- Sinai Health System, Toronto, Ont
| | | | | | - M Brar
- University of Toronto, Toronto, Ont
| | - J Conner
- Sinai Health System, Toronto, Ont
| | - R Kirsch
- Sinai Health System, Toronto, Ont
| | | | - K Singh
- University of Toronto, Toronto, Ont
| | | | - Y Gamache
- ASDevices, Spira Innovations, Thetford, Que
| | | | - C Mardinger
- From the University of Calgary, Calgary, Alta
| | - C Lee
- From the University of Calgary, Calgary, Alta
| | - R Duckworth
- From the University of Calgary, Calgary, Alta
| | - M Brindle
- From the University of Calgary, Calgary, Alta
| | - F Fraulin
- From the University of Calgary, Calgary, Alta
| | - L Austen
- From the University of Calgary, Calgary, Alta
| | - J Kortbeek
- From the University of Calgary, Calgary, Alta
| | - M Hyndman
- From the University of Calgary, Calgary, Alta
| | - D Nguyen
- From McGill University, Montreal, Que
| | - G Jamjoum
- From McGill University, Montreal, Que
| | | | - S Langer
- University of Calgary, Calgary, Alta
| | - Y Yuan Xu
- University of Calgary, Calgary, Alta
| | - S Kong
- Alberta Health Services, Calgary, Alta
| | - M Quan
- University of Calgary, Calgary, Alta
| | - D Lim
- Women's College Hospital, Toronto, Ont
| | | | | | - K Butler
- University Health Network, Toronto, Ont
| | | | - T Cil
- University of Toronto, Toronto, Ont
| | - T Zhong
- University of Toronto, Toronto, Ont
| | - S Hofer
- University of Toronto, Toronto, Ont
| | | | | | - D Lim
- Women's College Hospital, Toronto, Ont
| | - B Greene
- University of Toronto, Toronto, Ont
| | | | - M Parapini
- University of British Columbia, Vancouver, B.C
| | - J Skipworth
- University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, U.K
| | - A Mah
- University of British Columbia, Vancouver, B.C
| | - S Desai
- University of British Columbia, Vancouver, B.C
| | - S Chung
- University of British Columbia, Vancouver, B.C
| | - C Scudamore
- University of British Columbia, Vancouver, B.C
| | - M Segedi
- University of British Columbia, Vancouver, B.C
| | - E Vasilyeva
- University of British Columbia, Vancouver, B.C
| | - J Li
- University of British Columbia, Vancouver, B.C
| | - P Kim
- University of British Columbia, Vancouver, B.C
| | - K Verhoeff
- From the University of Alberta, Edmonton, Alta
| | - A Deprato
- From the University of Alberta, Edmonton, Alta
| | - K Purich
- From the University of Alberta, Edmonton, Alta
| | - J Kung
- From the University of Alberta, Edmonton, Alta
| | - D Bigam
- From the University of Alberta, Edmonton, Alta
| | - K Dajani
- From the University of Alberta, Edmonton, Alta
| | - T Lenet
- University of Ottawa, Ottawa, Ont
| | | | - R Smoot
- Mayo Clinic, Rochester, Minn
| | - G Martel
- The Ottawa Hospital, Ottawa, Ont
| | - C Tzeng
- MD Anderson Cancer Center, Houston, Tex
| | - F Rocha
- Oregon Health & Science University, Portland, Ore
| | | | | | | | | | | | | | - N Hanna
- Queen's University, Kingston, Ont
| | - S Brogly
- Queen's University, Kingston, Ont
| | | | - C Booth
- Queen's University, Kingston, Ont
| | - S Nanji
- Queen's University, Kingston, Ont
| | | | - N Coburn
- University of Toronto, Toronto, Ont
| | - A Mahar
- University of Manitoba, Winnipeg, Man
| | - J Callum
- Queen's University, Kingston, Ont
| | | | | | - A Wei
- Memorial Sloan Kettering Cancer Center, New York, N.Y
| | | | - J Hallet
- University of Toronto, Toronto, Ont
| | | | | | - A Wei
- Memorial Sloan Kettering Cancer Center, New York, N.Y
| | - A Mahar
- University of Manitoba, Winnipeg, Man
| | | | - G Martel
- University of Ottawa, Ottawa, Ont
| | - N Coburn
- University of Toronto, Toronto, Ont
| | - J Hallet
- University of Toronto, Toronto, Ont
| | - D Henault
- From the University of Montreal, Montreal, Que
| | - B Barrette
- From the University of Montreal, Montreal, Que
| | - S Pelletier
- From the University of Montreal, Montreal, Que
| | - P Thebault
- From the University of Montreal, Montreal, Que
| | | | - Z Rong
- From the University of Montreal, Montreal, Que
| | - M Plasse
- From the University of Montreal, Montreal, Que
| | | | | | - R Lapointe
- From the University of Montreal, Montreal, Que
| | | | - B Nguyen
- From the University of Montreal, Montreal, Que
| | - G Soucy
- From the University of Montreal, Montreal, Que
| | - S Turcotte
- From the University of Montreal, Montreal, Que
| | - M Lemke
- From Western University, London, Ont
| | - E Waugh
- From Western University, London, Ont
| | - K Leslie
- From Western University, London, Ont
| | - D Quan
- From Western University, London, Ont
| | - A Skaro
- From Western University, London, Ont
| | - E Tang
- From Western University, London, Ont
| | - M Lund
- From the University of Western Ontario, London, Ont
| | - L Allen
- From the University of Western Ontario, London, Ont
| | - J Glinka
- From the University of Western Ontario, London, Ont
| | - G Jada
- From the University of Western Ontario, London, Ont
| | - D Quan
- From the University of Western Ontario, London, Ont
| | - A Skaro
- From the University of Western Ontario, London, Ont
| | - E Tang
- From the University of Western Ontario, London, Ont
| | - L Park
- McMaster University, Hamilton, Ont
| | - J Daza
- University of Toronto, Toronto, Ont
| | - V Li
- McMaster University, Hamilton, Ont
| | | | - B Zhang
- McMaster University, Hamilton, Ont
| | | | - S Faisal
- Royal College of Surgeons in Ireland, Dublin, Ireland
| | - R Faisal
- Royal College of Surgeons in Ireland, Dublin, Ireland
| | - M Fabbro
- University of Toronto, Toronto, Ont
| | - C Gu
- McMaster University, Hamilton, Ont
| | | | - V Zuk
- University of Toronto, Toronto, Ont
| | - J Hallet
- University of Toronto, Toronto, Ont
| | - G Martel
- University of Ottawa, Ottawa, Ont
| | | | | | - J Glinka
- From the Western University, London, Ont
| | - A Skaro
- From the Western University, London, Ont
| | - K Leslie
- From the Western University, London, Ont
| | - G Jada
- From the Western University, London, Ont
| | - D Quan
- From the Western University, London, Ont
| | - E Tang
- From the Western University, London, Ont
| | - E Waugh
- From Western University, London, Ont
| | - M Lemke
- From Western University, London, Ont
| | - J Glinka
- From Western University, London, Ont
| | - A Skaro
- From Western University, London, Ont
| | - K Leslie
- From Western University, London, Ont
| | - E Tang
- From Western University, London, Ont
| | - E Waugh
- From Western University, London, Ont
| | | | - R Liu
- From Western University, London, Ont
| | - E Tang
- From Western University, London, Ont
| | - L Allen
- From Western University, London, Ont
| | - S Welch
- From Western University, London, Ont
| | - A Skaro
- From Western University, London, Ont
| | - K Leslie
- From Western University, London, Ont
| | - J Glinka
- From Western University, London, Ont
| | - E Waugh
- From Western University, London, Ont
| | - E Tang
- From Western University, London, Ont
| | - G Jada
- From Western University, London, Ont
| | - D Quan
- From Western University, London, Ont
| | - A Skaro
- From Western University, London, Ont
| | - A Webb
- From the University of Alberta, Edmonton, Alta
| | - E Lester
- From the University of Alberta, Edmonton, Alta
| | - A Shapiro
- From the University of Alberta, Edmonton, Alta
| | - D Eurich
- From the University of Alberta, Edmonton, Alta
| | - D Bigam
- From the University of Alberta, Edmonton, Alta
| | - Y Essaji
- From Virginia Mason Medical Center, Seattle, Wash
| | - H Shrader
- From the University of Iowa, Iowa City, Iowa
| | - A Nayyar
- From the University of Iowa, Iowa City, Iowa
| | - M Suraju
- From the University of Iowa, Iowa City, Iowa
| | | | - P Ear
- From the University of Iowa, Iowa City, Iowa
| | - C Chan
- From the University of Iowa, Iowa City, Iowa
| | - V Smith
- From Dalhousie University, Halifax, N.S
| | | | - A Costa
- From Dalhousie University, Halifax, N.S
| | - A Stueck
- From Dalhousie University, Halifax, N.S
| | | | - S Allen
- From Dalhousie University, Halifax, N.S
| | | | | | - T Lenet
- University of Ottawa, Ottawa, Ont
| | | | - R Smoot
- Mayo Clinic, Rochester, Minn
| | - C Tzeng
- MD Anderson Cancer Center, Houston, Tex
| | - F Rocha
- Oregon Health and Science University, Portland, Ore
| | - G Martel
- University of Ottawa, Ottawa, Ont
| | | | - Z Mir
- From Queen's University, Kingston, Ont
| | - H Golding
- From Queen's University, Kingston, Ont
| | - S McKeown
- From Queen's University, Kingston, Ont
| | - S Nanji
- From Queen's University, Kingston, Ont
| | | | - P Groome
- From Queen's University, Kingston, Ont
| | - Z Mir
- From Queen's University, Kingston, Ont
| | | | - S Nanji
- From Queen's University, Kingston, Ont
| | | | - P Groome
- From Queen's University, Kingston, Ont
| | - S Elbekri
- University of Sherbrooke, Sherbrooke, Que
| | - S Turcotte
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - E Girard
- Centre hospitalier universitaire de Grenoble Alpes, Grenoble, France
| | | | - R Lapointe
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | | | - M Dagenais
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - A Roy
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - R Letourneau
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - M Plasse
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - E Simoneau
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - Z Rong
- Centre hospitalier de l'Université de Montréal, Montreal, Que
| | - N Zuker
- From SUNY Upstate Medical University, Syracuse, N.Y
| | - M Oakley
- From SUNY Upstate Medical University, Syracuse, N.Y
| | - G Chartrand
- From the University of Montreal, Montreal, Que
| | - B Misheva
- From the University of Montreal, Montreal, Que
| | - Y Bendavid
- From the University of Montreal, Montreal, Que
| | - J Frigault
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - S Lemieux
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - D Breton
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - G Bouchard
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | - S Drolet
- From the Centre hospitalier universitaire de Québec - Université Laval, Québec, Que
| | | | - L Smith
- North York General Hospital, North York, Ont
| | - J Tan
- Humber River Hospital, North York, Ont
| | - U Kahn
- University of Toronto, Toronto, Ont
| | - C McLean
- From the University of Alberta, Edmonton, Alta
| | - V Mocanu
- From the University of Alberta, Edmonton, Alta
| | - D Birch
- From the University of Alberta, Edmonton, Alta
| | - S Karmali
- From the University of Alberta, Edmonton, Alta
| | - N Switzer
- From the University of Alberta, Edmonton, Alta
| | - M Fortin
- Centre hospitalier affilié universitaire régional de Trois-Rivières, Trois-Rivières, Que
| | - X Paré
- Centre hospitalier affilié universitaire régional de Trois-Rivières, Trois-Rivières, Que
| | - A Doyon
- Centre hospitalier affilié universitaire régional de Trois-Rivières, Trois-Rivières, Que
| | | | | | - J Yadav
- University of Toronto, Toronto, Ont
| | - S Fischer
- University Health Network, Toronto, Ont
| | - T Jackson
- University Health Network, Toronto, Ont
| | - J Allard
- University Health Network, Toronto, Ont
| | | | - Y Lee
- McMaster University, Hamilton, Ont
| | - S Anvari
- McMaster University, Hamilton, Ont
| | - M Chu
- McMaster University, Hamilton, Ont
| | | | - I Aditya
- University of Toronto, Toronto, Ont
| | - R Malhan
- McMaster University, Hamilton, Ont
| | | | - M Walsh
- McMaster University, Hamilton, Ont
| | | | - D Hong
- McMaster University, Hamilton, Ont
| | - W He
- From the University of Manitoba, Winnipeg, Man
| | - A Vergis
- From the University of Manitoba, Winnipeg, Man
| | - K Hardy
- From the University of Manitoba, Winnipeg, Man
| | - R Romanescu
- From the University of Manitoba, Winnipeg, Man
| | - F Deaninck
- From the University of Manitoba, Winnipeg, Man
| | - J Linton
- From the University of Manitoba, Winnipeg, Man
| | | | | | - G Shingoose
- From the University of Manitoba, Winnipeg, Man
| | - A Vergis
- From the University of Manitoba, Winnipeg, Man
| | - K Hardy
- From the University of Manitoba, Winnipeg, Man
| | | | | | | | - Y Lee
- From McMaster University, Hamilton, Ont
| | - V Archer
- From McMaster University, Hamilton, Ont
| | | | - J Shiroky
- From McMaster University, Hamilton, Ont
| | | | - K Ramji
- From McMaster University, Hamilton, Ont
| | | | - A Mierzwa
- From the University of Alberta, Edmonton, Alta
| | - V Mocanu
- From the University of Alberta, Edmonton, Alta
| | - G Marcil
- From the University of Alberta, Edmonton, Alta
| | - J Dang
- From the University of Alberta, Edmonton, Alta
| | - N Switzer
- From the University of Alberta, Edmonton, Alta
| | - D Birch
- From the University of Alberta, Edmonton, Alta
| | - S Karmali
- From the University of Alberta, Edmonton, Alta
| | - A Mierzwa
- From the University of Alberta, Edmonton, Alta
| | - A Jarrar
- The Ottawa Hospital, Ottawa, Ont
| | | | | | - W Lin
- University of Toronto, Toronto, Ont
| | - J Hagen
- Humber River Hospital, North York, Ont
| | - M Connell
- From the University of Alberta, Edmonton, Alta
| | - W Sun
- From the University of Alberta, Edmonton, Alta
| | - J Dang
- From the University of Alberta, Edmonton, Alta
| | - V Mocanu
- From the University of Alberta, Edmonton, Alta
| | - J Kung
- From the University of Alberta, Edmonton, Alta
| | - N Switzer
- From the University of Alberta, Edmonton, Alta
| | - D Birch
- From the University of Alberta, Edmonton, Alta
| | - S Karmali
- From the University of Alberta, Edmonton, Alta
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35
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Liu Y, Liu J, Tan Z, Jiang X, Wang L, Lu Y, Fu X, Song Q, Zhao L, Yuan S, Bi N, Xu Y, Zhu Z, Zhu G, Li J, Xie C, Ma X, Xiao G, Ge H, Liu H, Zhao J, Liang J, Shen Q, Xu Q, Liu R, Zhou S, Kong W, Zhong W, Jin X, Wang Y, Jiang Y, Fu Z, Xie Y, Cai J, Li Z, Machtay M, Curran W, Kong F. P29.05 Gross Tumor Volume Contouring Variations in Radiation Therapy of Non-Small Cell Lung Cancer. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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36
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Liu J, Jiang X, Tan Z, Li Z, Wang Y, Xie Y, Cai J, Zhu G, Li J, Xie C, Ma X, Xiao G, Liu H, Ge H, Zhao J, Liang J, Shen Q, Xu Q, Liu R, Zhou S, Zhong W, Kong W, Jiang Y, Xu Y, Fu Z, Liu Y, Zhu Z, Bi N, Yuan S, Zhao L, Song Q, Lu Y, Fu X, Wang L, Machtay M, Curran W, Kong F. P29.03 Thoracic Organs at Risk (OARs) Contouring Variations and Consensus in Radiation Therapy for Non-Small Cell Lung Cancer. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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37
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Huang D, Zhang X, Zhao C, Fu X, Zhang W, Kong W, Zhang B, Zhao Y. Microbubbles for Combination Tumor Treatment. Adv Therap 2021. [DOI: 10.1002/adtp.202100180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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38
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Ruan X, Du J, Lu D, Duan W, Jin F, Kong W, Wu Y, Dai Y, Yan S, Yin C, Li Y, Cheng J, Jia C, Liu X, Wu Q, Gu M, Ju R, Xu X, Yang Y, Jin J, Korell M, Montag M, Liebenthron J, Mueck AO. First pregnancy in China after ovarian tissue transplantation to prevent premature ovarian insufficiency. Climacteric 2021; 24:624-628. [PMID: 34374311 DOI: 10.1080/13697137.2021.1956453] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
OBJECTIVE This article reports the first case of pregnancy after frozen-thawed ovarian tissue transplantation to prevent iatrogenic premature ovarian insufficiency in China. METHODS Ovarian tissue cryopreservation was performed in a patient with myelodysplastic syndrome (MDS) before multi-agent chemotherapy and hematopoietic stem cell transplantation. Two years later, she showed complete remission from MDS, and six frozen-thawed ovarian tissue strips were transplanted into the peritoneal pocket. RESULTS The patient's ovarian activity was restored 3 months after transplantation, and pregnancy occurred spontaneously 27 months after grafting. Until now, the pregnancy has progressed for 30 weeks, and the repeated ultrasound showed normal fetal development. CONCLUSION This is the first pregnancy resulting from ovarian tissue cryopreservation and transplantation in China.
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Affiliation(s)
- X Ruan
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.,Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - J Du
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.,Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - D Lu
- Department of Gynecology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - W Duan
- Department of Gynecological Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - F Jin
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - W Kong
- Department of Gynecological Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Y Wu
- Department of Gynecological Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Y Dai
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - S Yan
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - C Yin
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Y Li
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - J Cheng
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - C Jia
- Department of Reproductive Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - X Liu
- Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Q Wu
- Department of Ultrasound, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - M Gu
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - R Ju
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - X Xu
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Y Yang
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - J Jin
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - M Korell
- Department of Obstetrics and Gynecology, Johanna Etienne Hospital of Neuss, Neuss, Germany
| | - M Montag
- Ilabcomm GmbH, Augustin, Germany
| | - J Liebenthron
- UniCareD, University Cryobank for Assisted Reproductive Medicine and Fertility Protection at UniKiD, University Women's Hospital Düsseldorf, Düsseldorf, Germany
| | - A O Mueck
- Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.,University Women's Hospital and Research Centre for Women's Health, Department of Women's Health, University of Tuebingen, Tuebingen, Germany
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39
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Qian Y, Kong W, Lu T. Precise and reliable control of gene expression in Agrobacterium tumefaciens. Biotechnol Bioeng 2021; 118:3962-3972. [PMID: 34180537 DOI: 10.1002/bit.27872] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 06/07/2021] [Accepted: 06/17/2021] [Indexed: 11/07/2022]
Abstract
Agrobacterium tumefaciens is a soil-borne bacterium that is known for its DNA delivery ability and widely exploited for plant transformation. Despite continued interest in improving the utility of the organism, the lack of well-characterized engineering tools limits the realization of its full potential. Here, we present a synthetic biology toolkit that enables precise and effective control of gene expression in A. tumefaciens. We constructed and characterized six inducible expression systems. Then, we optimized the one regulated by cumic acid through amplifier introduction and promoter engineering and evaluated its 15 cognate promoters. To establish fine-tunability, we constructed a series of spacers and a promoter library to systematically modulate both translational and transcriptional rates. We finally demonstrated the application of the tools by co-expressing genes with altered expression levels using a single signal. This study provides precise expression tools for A. tumefaciens, facilitating rational engineering of the bacterium for advanced plant biotechnological applications.
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Affiliation(s)
- Yuanchao Qian
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Wentao Kong
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Ting Lu
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
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40
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Huang D, Zhang X, Zhao C, Fu X, Zhang W, Kong W, Zhang B, Zhao Y. Ultrasound‐Responsive Microfluidic Microbubbles for Combination Tumor Treatment. Adv Therap 2021. [DOI: 10.1002/adtp.202100050] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Affiliation(s)
- Danqing Huang
- Department of Ultrasound, Institute of Translational Medicine, The Affiliated Drum Tower Hospital of Nanjing University Medical School Nanjing 210002 China
| | - Xiaoxuan Zhang
- Department of Ultrasound, Institute of Translational Medicine, The Affiliated Drum Tower Hospital of Nanjing University Medical School Nanjing 210002 China
- State Key Laboratory of Bioelectronics School of Biological Science and Medical Engineering Southeast University Nanjing 210096 China
| | - Cheng Zhao
- Department of Ultrasound, Institute of Translational Medicine, The Affiliated Drum Tower Hospital of Nanjing University Medical School Nanjing 210002 China
- State Key Laboratory of Bioelectronics School of Biological Science and Medical Engineering Southeast University Nanjing 210096 China
| | - Xiao Fu
- Department of Ultrasound, Institute of Translational Medicine, The Affiliated Drum Tower Hospital of Nanjing University Medical School Nanjing 210002 China
| | - Weijing Zhang
- Department of Ultrasound, Institute of Translational Medicine, The Affiliated Drum Tower Hospital of Nanjing University Medical School Nanjing 210002 China
| | - Wentao Kong
- Department of Ultrasound, Institute of Translational Medicine, The Affiliated Drum Tower Hospital of Nanjing University Medical School Nanjing 210002 China
| | - Bing Zhang
- Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School Nanjing 210002 China
- Institute of Brain Science Nanjing University Nanjing 210002 China
| | - Yuanjin Zhao
- Department of Ultrasound, Institute of Translational Medicine, The Affiliated Drum Tower Hospital of Nanjing University Medical School Nanjing 210002 China
- State Key Laboratory of Bioelectronics School of Biological Science and Medical Engineering Southeast University Nanjing 210096 China
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41
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Huang J, Cai X, Yao X, Qian H, Zhang J, Kong W, Huang Y, Wu X, Chen Y, Xue W. Cognitive function after cardiopulmonary bypass and deep hypothermic circulatory arrest in the management of renal cell carcinoma with IVC tumor thrombus. Eur Urol 2021. [DOI: 10.1016/s0302-2838(21)01006-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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42
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Kong W, Yang T, Wang H, Li M, Liu H, Zhang Y, Lou F, Cao S, Zhang J. Comprehensive molecular characterization of renal cell carcinoma in the Chinese population. Eur Urol 2021. [DOI: 10.1016/s0302-2838(21)00921-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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43
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Zhai W, Wang J, He N, Zhou J, Wang J, Xue Y, Yang Z, Chen Y, Hui J, Haung J, Kong W, Haung Y, Xue W. DNA Damage Repair (DDR) gene and VHL concurrent alterations in advanced clear cell Renal Cell Carcinoma (ccRCC) are association with good progression free survival with tyrosine kinase inhibitor therapy. Eur Urol 2021. [DOI: 10.1016/s0302-2838(21)00923-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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44
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Wan P, Chen F, Liu C, Kong W, Zhang D. Hierarchical Temporal Attention Network for Thyroid Nodule Recognition Using Dynamic CEUS Imaging. IEEE Trans Med Imaging 2021; 40:1646-1660. [PMID: 33651687 DOI: 10.1109/tmi.2021.3063421] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Contrast-enhanced ultrasound (CEUS) has emerged as a popular imaging modality in thyroid nodule diagnosis due to its ability to visualize vascular distribution in real time. Recently, a number of learning-based methods are dedicated to mine pathological-related enhancement dynamics and make prediction at one step, ignoring a native diagnostic dependency. In clinics, the differentiation of benign or malignant nodules always precedes the recognition of pathological types. In this paper, we propose a novel hierarchical temporal attention network (HiTAN) for thyroid nodule diagnosis using dynamic CEUS imaging, which unifies dynamic enhancement feature learning and hierarchical nodules classification into a deep framework. Specifically, this method decomposes the diagnosis of nodules into an ordered two-stage classification task, where diagnostic dependency is modeled by Gated Recurrent Units (GRUs). Besides, we design a local-to-global temporal aggregation (LGTA) operator to perform a comprehensive temporal fusion along the hierarchical prediction path. Particularly, local temporal information is defined as typical enhancement patterns identified with the guidance of perfusion representation learned from the differentiation level. Then, we leverage an attention mechanism to embed global enhancement dynamics into each identified salient pattern. In this study, we evaluate the proposed HiTAN method on the collected CEUS dataset of thyroid nodules. Extensive experimental results validate the efficacy of dynamic patterns learning, fusion and hierarchical diagnosis mechanism.
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45
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Rivera G, Butka E, Jindal K, Kong W, Waye S, Hoffmann C, Kamimoto K, Morris S. 631 Lineage tracing at single-cell resolution unveils complex differentiation trajectories of adipocyte precursors in the skin. J Invest Dermatol 2021. [DOI: 10.1016/j.jid.2021.02.660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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46
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Wan P, Chen F, Shao W, Liu C, Zhang Y, Wen B, Kong W, Zhang D. Irregular Respiratory Motion Compensation for Liver Contrast-Enhanced Ultrasound via Transport-Based Motion Estimation. IEEE Trans Ultrason Ferroelectr Freq Control 2021; 68:1117-1130. [PMID: 33108284 DOI: 10.1109/tuffc.2020.3033984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Contrast-enhanced ultrasound (CEUS) imaging has been widely applied for the detection and characterization of focal liver lesions (FLLs), for its ability to visualize the blood flow in real time. However, cyclic liver motion poses a great challenge to the recovery of perfusion curves as well as quantitative kinetic parameters estimation. Recently, a few gating methods have been proposed to eliminate unexpected intensity fluctuations by the breathing phase estimation, with the assumption that each breathing phase corresponds to a specific lesion position strictly. While practical liver motion tends to be irregular due to changes in the patient's underlying physiologic status, that is, the same phase might not correspond to the same position. To tackle the challenge of motion irregularity, we present a novel motion estimation-based respiratory compensation method, named RCME, which first estimates salient motion information through the framework of optimal transport (OT) by jointly modeling pixel intensity as well as their locations and then employs sparse subspace clustering (SSC) to identify the subset of frames acquired at the same position. Our proposed method is evaluated on 15 clinical CEUS sequences in both qualitative and quantitative manners. Experimental results demonstrate good performance on irregular liver motion compensation.
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47
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Fang H, Gong L, Xu Y, Zhuo Y, Kong W, Peng C, Yuan J. Reliable Thyroid Carcinoma Detection with Real-Time Intelligent Analysis of Ultrasound Images. Ultrasound Med Biol 2021; 47:590-602. [PMID: 33328131 DOI: 10.1016/j.ultrasmedbio.2020.11.024] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 11/17/2020] [Accepted: 11/19/2020] [Indexed: 06/12/2023]
Abstract
Thyroid carcinoma is one of the most common endocrine diseases globally, and the incidence has been on the rise in recent years. Ultrasound imaging is the primary clinical method for early thyroid nodule diagnosis. Regions of interest (ROIs) of nodules in ultrasound images are difficult to detect because of their irregular shape nand vague margins. Accurate real-time thyroid nodule detection can provide ROIs for subsequent nodule diagnosis automatically, avoid variabilities between the subjective interpretations and inter-observer effectively and alleviate the workloads of medical practitioners. The aim of this study was to present a reliable, real-time detection method based on the Faster R-CNN (region-based convolutional network) framework for accurate and fast detection of thyroid nodules in ultrasound images. Our study proposed a faster and more accurate thyroid nodule detection method based on the Faster R-CNN framework by adding three strategies: feature pyramid, spatial remapping and anchor-box redesign. Specifically, the network takes raw ultrasound images as inputs and generates boxes with positions and the possibilities that these boxes contain thyroid nodules. The proposed method could locate and detect target nodules accurately with a mean average precision of 92.79% with more than 9000 patient images. In addition, the detection rate has accelerated to >16 frames per second, four times faster than that of the initial network. Therefore, it can meet the requirements of clinical application. The performance of the fivefold cross-validation was also accurate and robust. The proposed automatic thyroid nodule detection method yields better performance in accuracy and detection speed, which indicates the potential value of our method in assisting clinical ultrasound image interpretation.
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Affiliation(s)
- Han Fang
- School of Electronic Science and Engineering, Nanjing University, Nanjing, China
| | - Li Gong
- Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Yuan Xu
- School of Electronic Science and Engineering, Nanjing University, Nanjing, China
| | - Yiyao Zhuo
- School of Electronic Science and Engineering, Nanjing University, Nanjing, China
| | - Wentao Kong
- Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Chenglei Peng
- School of Electronic Science and Engineering, Nanjing University, Nanjing, China.
| | - Jie Yuan
- School of Electronic Science and Engineering, Nanjing University, Nanjing, China
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48
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Ibarra-Sánchez LA, Kong W, Lu T, Miller MJ. Efficacy of nisin derivatives with improved biochemical characteristics, alone and in combination with endolysin PlyP100 to control Listeria monocytogenes in laboratory-scale Queso Fresco. Food Microbiol 2020; 94:103668. [PMID: 33279091 DOI: 10.1016/j.fm.2020.103668] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2020] [Revised: 10/01/2020] [Accepted: 10/26/2020] [Indexed: 11/28/2022]
Abstract
Nisin is an antimicrobial peptide that is commonly used as a food preservative and capable of inhibiting the pathogen Listeria monocytogenes. However, nisin is ineffective in controlling L. monocytogenes in Queso Fresco (QF). To address the challenge, in this work, we used synthetic biology strategies to create a series of nisin A derivatives by substituting residues 27, 30, 31 and 32 with positively charged amino acids (H, K and R). Our results showed that nisin derivatives exhibited reduced antilisterial activity in vitro compared to nisin A; however, they were all more stable under QF-like experimental conditions (pH 7 + 22% milk fat), notably H27/31K. Compared to nisin A, the derivatives H31K and V32K exhibited slight antilisterial improvement in QF and H27/31K was able to reduce the initial population of L. monocytogenes by up to 1.5 Log CFU/g. L. monocytogenes isolates exhibited similar susceptibility to nisin A or H27/31K after 7 or 14 days of nisin exposure in QF. Notably, when combined with endolysin PlyP100, the application of H27/31K resulted in non-enumerable levels of L. monocytogenes after 14 days of cold storage. Our results highlight the potential of bioengineered nisin derivatives for stabilized and enhanced control of L. monocytogenes in QF.
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Affiliation(s)
- Luis A Ibarra-Sánchez
- Department of Food Science & Human Nutrition, University of Illinois, Urbana, IL, USA
| | - Wentao Kong
- Department of Bioengineering, University of Illinois, Urbana, IL, USA
| | - Ting Lu
- Department of Bioengineering, University of Illinois, Urbana, IL, USA
| | - Michael J Miller
- Department of Food Science & Human Nutrition, University of Illinois, Urbana, IL, USA.
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Yang F, Kong W, Liu SF, Wang CZ. Structure of a two-dimensional superparamagnetic system in a quadratic trap. Phys Rev E 2020; 102:043213. [PMID: 33212587 DOI: 10.1103/physreve.102.043213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Accepted: 10/12/2020] [Indexed: 06/11/2023]
Abstract
Ground-state structures of a two-dimensional (2D) system composed of superparamagnetic charged particles are investigated by means of molecular dynamics simulation. The charged particles trapped in a quadratic potential interact with each other via the repulsive, attractive, and magnetic dipole-dipole forces. Simulations are performed within two regimes: a one-component system and a two-component system where the charged particles have the identical charge-to-mass ratio. The effects of magnetic dipole-dipole interaction, mixing ratio of the two species and confinement frequency on the ground-state structures are discussed. It is found that as the strength of the magnetic dipole increases, the charged particles tend to self-organize into chainlike structures. The two species particles exhibit different structural features, depending on the competition of electrostatic repulsive interaction, magnetic dipole-dipole interaction and confinement force. The potential lanes are observed through analyzing the global potential of the magnetic particles, which guide the unmagnetic particles aligning themselves in the direction of the potential lanes.
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Affiliation(s)
- F Yang
- College of Science, Civil Aviation University of China, Tianjin 300300, China
| | - W Kong
- College of Science, Civil Aviation University of China, Tianjin 300300, China
| | - S F Liu
- School of Physics, Nankai University, Tianjin 300071, China
| | - C Z Wang
- School of Physics, Nankai University, Tianjin 300071, China
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50
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Zhao JQ, Gao YX, Wu C, Sun WL, Hu Y, Wang ZQ, Chen XX, Yu CA, Kong W, Zheng JG. [Effects of alprostadil in β-aminopropanitrile induced aortic dissection in a murine model]. Zhonghua Xin Xue Guan Bing Za Zhi 2020; 48:682-688. [PMID: 32847325 DOI: 10.3760/cma.j.cn112148-20190925-00592] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the protective role of alprostadil on aortic dissection. Methods: 26 C57BL6 male mice were divided into control group (normal drinking water, n=13) and model group (1 g·kg-1·d-1 BAPN via drinking water, n=13). On day 14, mRNA expression of inflammatory-related genes as well as EP receptor families were detected by RT-PCR (n=6 each) and EP4 protein levels were determined by Western blot (n=7 each). Another 88 mice were divided into 3 groups: control group (n=22), model group (n=33) and treatment group (n=33). The mice in model group and treatment group were applied with BAPN (1 g·kg-1·d-1) via drinking water. The mice in treatment group received additional intraperitoneal injection with alprostadil (80 μg·kg-1·d-1) for 28 days. The mice in the control and model group received equal volume intraperitoneal injection with 0.9% saline respectively. The body weight and systolic blood pressure, the mortality and morbidity were monitored from the beginning until the designed end of the study. On day 28, the mice were sacrificed and aorta were fixed, embedded and sliced, followed by staining with HE and Victoria Blue. The distribution of EP4 was determined by immunohistochemistry in control (n=6) and model group (n=6). Furthermore, the concentration of PGE1 were tested among model (n=3) and treatment group (n=4). EP4 protein expression was determined in model group (n=7) and treatment group (n=6). Results: On day 14, mRNA expression level of MCP-1 ((2.74±1.55) vs. (1.00±0.49),<0.05) and MMP2((1.38±0.42) vs. (1.00±0.27), P<0.05) was significantly upregulated in model group compared with control group. Protein expression of EP4 receptor also increased in aorta in model group compared with control group (1.48±0.51 vs. 1.00±0.19, P<0.05). In the dissection area, the EP4 expression was also enriched compared with non-dissection area, particularly in endothelial cells and inflammatory cells on day 28. BAPN applied in drinking water (model and treatment groups) successfully induced the aortic dissection in mice, some mice died of the rupture. The elastic fibers were fractured, and the infiltrated immune cells were visible in dissected tissue. False lumen was formed. There was no dissection and death in the control group. Compared with control group, the morbidity and mortality rates were significantly increased in the model group (60.6%, 20/33, 30.3%, 10/33) and the treatment group (72.7%, 24/33, 24.2%, 8/33). The mortality and morbidity rates were similar between model and treatment groups. There is no difference in terms of SBP among three groups (P>0.05). Further study showed that after alprostadil injection, the blood concentration of PGE1 was increased in treatment group ((0.540±0.041 vs. 0.436±0.012)μmol/L, P<0.05). Besides, the EP4 receptor expression was downregulated in the treatment group compared to model group (0.60±0.30 vs. 1.00±0.20, P<0.05). Conclusion: EP4 expression is upregulated in BAPN induced aortic dissection mouse model. No protective effects are observed post alprostadil treatment in this model probably due to the reduced expression of EP4.
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Affiliation(s)
- J Q Zhao
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing 100029, China
| | - Y X Gao
- Department of Cardiology, China-Japan Friendship Hospital, Beijing 100029, China
| | - C Wu
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing 100029, China
| | - W L Sun
- Biomedical Experimental Research, Institute of Clinical Medicine, China-Japan Friendship Hospital, Beijing 100029, China
| | - Y Hu
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing 100029, China
| | - Z Q Wang
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing 100029, China
| | - X X Chen
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing 100029, China
| | - C A Yu
- Department of Cardiology, China-Japan Friendship Hospital, Beijing 100029, China
| | - W Kong
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Peking University, Beijing 100191, China
| | - J G Zheng
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing 100029, China; Department of Cardiology, China-Japan Friendship Hospital, Beijing 100029, China
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