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Long Z, Hesley GK, Lu A, Hangiandreou NJ, Gorny KR, Tiegs-Heiden CA. MRgFUS ablation of a recurrent tenosynovial giant cell tumor in the foot using ExAblate 2100 system in combination with patient immobilization device. Radiography (Lond) 2024; 30:840-842. [PMID: 38574580 DOI: 10.1016/j.radi.2024.03.010] [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: 12/20/2023] [Revised: 03/04/2024] [Accepted: 03/19/2024] [Indexed: 04/06/2024]
Abstract
INTRODUCTION Magnetic Resonance-guided Focused Ultrasound (MRgFUS) treatment for certain anatomy locations can be extremely challenging due to patient positioning and potential motion. This present study describes the treatment of a recurrent tenosynovial giant cell tumor of the plantar forefoot using the ExAblate 2100 system in combination with patient immobilization device. METHODS Prior to the treatment, several patient immobilization devices were investigated. Vacuum cushions were selected and tested for safety and compatibility with the treatment task and the MR environment. RESULTS During the treatment, one vacuum cushion immobilized the patient's right leg in knee flexion and allowed the bottom of the foot to be securely positioned on the treatment window. Another vacuum cushion supported the patient upper body extended outside the scanner bore. 19 sonications were successfully executed. The treatment was judged to be successful. No immediate complications were observed. CONCLUSIONS MRgFUS treatment of a recurrent tenosynovial giant cell tumor of the right plantar forefoot was successful with the use of patient immobilization vacuum cushions. IMPLICATIONS FOR PRACTICE The immobilization system could be utilized to aid future MRgFUS treatment of lesions in challenging anatomic locations. Various sizes of the vacuum cushions are available to potentially better accommodate other body parts and treatment configurations.
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Affiliation(s)
- Z Long
- Department of Radiology, Mayo Clinic, MN, USA.
| | - G K Hesley
- Department of Radiology, Mayo Clinic, MN, USA
| | - A Lu
- Department of Radiology, Mayo Clinic, MN, USA
| | | | - K R Gorny
- Department of Radiology, Mayo Clinic, MN, USA
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Garb J, Amitai G, Lu A, Ofir G, Brandis A, Mehlman T, Kranzusch PJ, Sorek R. The SARM1 TIR domain produces glycocyclic ADPR molecules as minor products. PLoS One 2024; 19:e0302251. [PMID: 38635746 PMCID: PMC11025887 DOI: 10.1371/journal.pone.0302251] [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: 10/04/2023] [Accepted: 03/31/2024] [Indexed: 04/20/2024] Open
Abstract
Sterile alpha and TIR motif-containing 1 (SARM1) is a protein involved in programmed death of injured axons. Following axon injury or a drug-induced insult, the TIR domain of SARM1 degrades the essential molecule nicotinamide adenine dinucleotide (NAD+), leading to a form of axonal death called Wallerian degeneration. Degradation of NAD+ by SARM1 is essential for the Wallerian degeneration process, but accumulating evidence suggest that other activities of SARM1, beyond the mere degradation of NAD+, may be necessary for programmed axonal death. In this study we show that the TIR domains of both human and fruit fly SARM1 produce 1''-2' and 1''-3' glycocyclic ADP-ribose (gcADPR) molecules as minor products. As previously reported, we observed that SARM1 TIR domains mostly convert NAD+ to ADPR (for human SARM1) or cADPR (in the case of SARM1 from Drosophila melanogaster). However, we now show that human and Drosophila SARM1 additionally convert ~0.1-0.5% of NAD+ into gcADPR molecules. We find that SARM1 TIR domains produce gcADPR molecules both when purified in vitro and when expressed in bacterial cells. Given that gcADPR is a second messenger involved in programmed cell death in bacteria and likely in plants, we propose that gcADPR may play a role in SARM1-induced programmed axonal death in animals.
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Affiliation(s)
- Jeremy Garb
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Gil Amitai
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Allen Lu
- Department of Microbiology, Harvard Medical School, Boston, MA, United States of America
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, United States of America
| | - Gal Ofir
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Alexander Brandis
- Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, Israel
| | - Tevie Mehlman
- Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, Israel
| | - Philip J Kranzusch
- Department of Microbiology, Harvard Medical School, Boston, MA, United States of America
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, United States of America
- Parker Institute for Cancer Immunotherapy at Dana-Farber Cancer Institute, Boston, MA, United States of America
| | - Rotem Sorek
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
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Lu A, Li KY, Su GN, Yang PZ. [Literature data mining on the current research status of uveitis in China]. Zhonghua Yan Ke Za Zhi 2024; 60:359-369. [PMID: 38583060 DOI: 10.3760/cma.j.cn112142-20230929-00121] [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] [Subscribe] [Scholar Register] [Indexed: 04/08/2024]
Abstract
Objective: To analyze the current research status of uveitis in China. Methods: It was a bibliometric analysis study. Using search formulas covering uveitis and its multiple subtypes, uveitis-related literature in English with publication dates from 2013 to 2022 was retrieved in Web of Science core databases through certain search strategies. This study used the latent Dirichlet allocation (LDA) algorithm to build topic models and analyzed the trends of research topics in recent years. Bibliometric analysis was used to analyze and visualize the bibliometric indicators (e.g., number of publications, citations, and H-index) of the included literature using tools such as VOSviewer software. Results: Over the past decade, China has published 1 657 papers on uveitis, ranking second globally. However, there is still room for improvement in terms of the H-index (58) and citation (12.28 per publication). Countries such as the USA (43.04%) and the United Kingdom (62.54%) were engaged in more international collaboration. We identified ten optimal LDA topics for uveitis literature in China such as immunotherapy, Behçet's disease, and Vogt-Koyanagi-Harada syndrome. Research on uveitis in China was mostly published in Ocular Immunology and Inflammation (92). Conclusions: China has made remarkable progress in uveitis research. Nonetheless, there is still untapped potential to enhance our global academic influence. It is encouraged to promote international collaborations, harness our expertise in areas like Behçet's disease and VKH syndrome, and publish our scientific achievements in high-impact journals.
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Affiliation(s)
- A Lu
- Department of Ophthalmology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - K Y Li
- Department of Ophthalmology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - G N Su
- Department of Ophthalmology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - P Z Yang
- Department of Ophthalmology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
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Sima S, Chen X, Sheldrick K, Lu A, Diwan AD. Imaging predictors of progression of lumbar spondylolysis to spondylolisthesis: a systematic review. Spine J 2024:S1529-9430(24)00119-0. [PMID: 38499064 DOI: 10.1016/j.spinee.2024.03.010] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 03/06/2024] [Accepted: 03/12/2024] [Indexed: 03/20/2024]
Abstract
BACKGROUND CONTEXT Isthmic spondylolisthesis (IS) is defined as the anterior translation of one lumbar vertebra relative to the next caudal segment as a result of a unilateral or bilateral fracture of the pars interarticularis. These fractures are interchangeably known as "pars defects" or "spondylolysis." Many risk factors have been proposed to explain the progression of a spondylolytic defect to IS, however, none are validated. PURPOSE This systematic review provides an overview of various radiological and imaging parameters that can help predict the risk of progression of a spondylolytic defect into IS. STUDY DESIGN Systematic review. METHODS Medline, Embase and Cochrane online database were searched. The various correlations between imaging features with observed spondylolisthesis prevalence or severity or spondylolysis rates of spondylolisthesis were evaluated to provide a list of imaging risk factors to predict IS. Significance of the correlations in the original article was recorded to enable comparison of the collected evidence of separate image features. RESULTS All searches combined generated a total of 431 results of which 26 articles were included into this study. Of the 22 potential risk factors identified, 5 were found to be statistically insignificant, 8 were found to be significant and 9 had mixed results. The following features were found to be significant risk factors in at least on study: disc degeneration, transverse process width, pelvic incidence, pelvic tilt, sacral slope, lumbar lordosis, lumbar index, thoracic kyphosis, facet joint angle above the level of defect, facet joint degeneration, facet tropism, multifidus size, lateral erector spinae size, mesenteric fat thickness, subcutaneous fat thickness and soft tissue calcification. CONCLUSION Our research suggests that only disc degeneration had moderately strong evidence with consistent significant associations with development of IS in patients with spondylolysis. Transverse process width, pelvic incidence, pelvic tilt, sacral slope, lumbar lordosis, lumbar index, thoracic kyphosis, facet joint angle above the level of defect, facet joint degeneration, facet tropism, multifidus size, lateral erector spinae size, mesenteric fat thickness, subcutaneous fat thickness and soft tissue calcification had some evidence. All other radiological factors had weak evidence. The results of this study can be used to improve early clinical decision making for patients with spondylolysis.
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Affiliation(s)
- Stone Sima
- Spine Labs, St George and Sutherland Clinical School, University of New South Wales, 10 South Street, Kogarah, New South Wales, Australia
| | - Xiaolong Chen
- Spine Labs, St George and Sutherland Clinical School, University of New South Wales, 10 South Street, Kogarah, New South Wales, Australia; Department of Orthopaedic Surgery, Xuanwu Hospital, Capital Medical University, Changchun Street 45, Xicheng District, Beijing, China.
| | - Kyle Sheldrick
- Spine Labs, St George and Sutherland Clinical School, University of New South Wales, 10 South Street, Kogarah, New South Wales, Australia
| | - Allen Lu
- Spine Labs, St George and Sutherland Clinical School, University of New South Wales, 10 South Street, Kogarah, New South Wales, Australia
| | - Ashish D Diwan
- Spine Labs, St George and Sutherland Clinical School, University of New South Wales, 10 South Street, Kogarah, New South Wales, Australia; Spine Service, Department of Orthopaedic Surgery, St George and Sutherland Clinical School, University of New South Wales, Suite 16 Level 5, 1 South Street, Kogarah, New South Wales, Australia
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Ledda V, George C, Glasbey J, Labib P, Li E, Lu A, Kudrna L, Nepogodiev D, Picciochi M, Williams I, Bhangu A. Uncertainties and opportunities in delivering environmentally sustainable surgery: the surgeons' view. Anaesthesia 2024; 79:293-300. [PMID: 38207004 DOI: 10.1111/anae.16195] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/08/2023] [Indexed: 01/13/2024]
Abstract
Surgery is a carbon-heavy activity and creates a high volume of waste. Surgical teams around the world want to deliver more environmentally sustainable surgery but are unsure what to do and how to create change. There are many interventions available, but resources and time are limited. Capital investment into healthcare and engagement of senior management are challenging. However, frontline teams can change behaviours and drive wider change. Patients have a voice here too, as they would like to ensure their surgery does not harm their local community but are concerned about the effects on them when changes are made. Environmentally sustainable surgery is at the start of its journey. Surgeons need to rapidly upskill their generic knowledge base, identify which measures they can implement locally and take part in national research programmes. Surgical teams in the NHS have the chance to create a world-leading programme that can bring change to hospitals around the world. This article provides an overview of how surgeons see the surgical team being involved in environmentally sustainable surgery.
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Affiliation(s)
- V Ledda
- NIHR Programme Grant for Environmentally Sustainable Surgery, Institute of Applied Health Research, University of Birmingham, UK
| | - C George
- Department of Anaesthesia, Christian Medical College and Hospital, Ludhiana, India
| | - J Glasbey
- NIHR Programme Grant for Environmentally Sustainable Surgery, Institute of Applied Health Research, University of Birmingham, UK
| | - P Labib
- NIHR Programme Grant for Environmentally Sustainable Surgery, Institute of Applied Health Research, University of Birmingham, UK
| | - E Li
- NIHR Programme Grant for Environmentally Sustainable Surgery, Institute of Applied Health Research, University of Birmingham, UK
| | - A Lu
- Department of Anaesthesia, North West School of Anaesthesia, Manchester, UK
| | - L Kudrna
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - D Nepogodiev
- NIHR Programme Grant for Environmentally Sustainable Surgery, Institute of Applied Health Research, University of Birmingham, UK
| | - M Picciochi
- NIHR Programme Grant for Environmentally Sustainable Surgery, Institute of Applied Health Research, University of Birmingham, UK
| | - I Williams
- School of Social Policy, University of Birmingham, Birmingham, UK
| | - A Bhangu
- NIHR Programme Grant for Environmentally Sustainable Surgery, Institute of Applied Health Research, University of Birmingham, UK
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Yirmiya E, Leavitt A, Lu A, Ragucci AE, Avraham C, Osterman I, Garb J, Antine SP, Mooney SE, Hobbs SJ, Kranzusch PJ, Amitai G, Sorek R. Phages overcome bacterial immunity via diverse anti-defence proteins. Nature 2024; 625:352-359. [PMID: 37992756 DOI: 10.1038/s41586-023-06869-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [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: 05/01/2023] [Accepted: 11/14/2023] [Indexed: 11/24/2023]
Abstract
It was recently shown that bacteria use, apart from CRISPR-Cas and restriction systems, a considerable diversity of phage resistance systems1-4, but it is largely unknown how phages cope with this multilayered bacterial immunity. Here we analysed groups of closely related Bacillus phages that showed differential sensitivity to bacterial defence systems, and discovered four distinct families of anti-defence proteins that inhibit the Gabija, Thoeris and Hachiman systems. We show that these proteins Gad1, Gad2, Tad2 and Had1 efficiently cancel the defensive activity when co-expressed with the respective defence system or introduced into phage genomes. Homologues of these anti-defence proteins are found in hundreds of phages that infect taxonomically diverse bacterial species. We show that the anti-Gabija protein Gad1 blocks the ability of the Gabija defence complex to cleave phage-derived DNA. Our data further reveal that the anti-Thoeris protein Tad2 is a 'sponge' that sequesters the immune signalling molecules produced by Thoeris TIR-domain proteins in response to phage infection. Our results demonstrate that phages encode an arsenal of anti-defence proteins that can disable a variety of bacterial defence mechanisms.
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Affiliation(s)
- Erez Yirmiya
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Azita Leavitt
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Allen Lu
- Department of Microbiology, Harvard Medical School, Boston, MA, USA
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Adelyn E Ragucci
- Department of Microbiology, Harvard Medical School, Boston, MA, USA
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Carmel Avraham
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Ilya Osterman
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Jeremy Garb
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Sadie P Antine
- Department of Microbiology, Harvard Medical School, Boston, MA, USA
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Sarah E Mooney
- Department of Microbiology, Harvard Medical School, Boston, MA, USA
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Samuel J Hobbs
- Department of Microbiology, Harvard Medical School, Boston, MA, USA
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Philip J Kranzusch
- Department of Microbiology, Harvard Medical School, Boston, MA, USA
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, USA
- Parker Institute for Cancer Immunotherapy at Dana-Farber Cancer Institute, Boston, MA, USA
| | - Gil Amitai
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel.
| | - Rotem Sorek
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel.
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Buhagiar R, Lu A, Liu S, Sahadevan S, Schulz LM, Ghosh J, Yeoh A. A pilot study to assess the impact of aboriginal and torres strait islander cultural humility webinars on australian medical school students. BMC Med Educ 2023; 23:626. [PMID: 37661272 PMCID: PMC10476379 DOI: 10.1186/s12909-023-04612-7] [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: 11/29/2022] [Accepted: 08/24/2023] [Indexed: 09/05/2023]
Abstract
BACKGROUND The Aboriginal and Torres Strait Islander Health Curriculum Framework helps higher education providers to deliver safe and well-informed cultural humility education. However, there is currently a scarcity of evidence surrounding the efficacy and impact of cultural humility education. This study will use qualitative and quantitative research methods to evaluate learning outcomes from an Indigenous health educational webinar aimed at Australian medical students. METHODS A pilot study was conducted following a group of Australian medical students who attended an educational Indigenous health (IH) culturally responsive webinar. Recruitment was conducted via the webinar hosts' social media pages. Quantitative methods involved sending one pre- and two post-webinar questionnaires to attendees. To assess participants' retention of information, one post-webinar survey was sent out immediately after the webinar and another three months after the webinar. These questionnaires were designed to reflect pre-determined learning objectives for the webinar. Qualitative methods involved a focus group discussion to identify common themes from participant feedback. RESULTS Twenty-six participants were included in the final quantitative analysis. Most of the participants were clinical students between 18 and 24 years old who did not identify as Aboriginal and/or Torres Strait Islander. There was a significant increase (p = 0.007) between pre-intervention (M = 0.35, SD = 0.26) and post-webinar knowledge for the learning outcome exploring the links between health and education (M = 047, SD = 0.25). No results were obtained from the three months post-intervention questionnaire. The qualitative analysis synthesized feedback from three participants and identified presenter delivery style as an important mediator of webinar effectiveness. CONCLUSIONS There was a significant increase in knowledge and understanding for the learning outcome that explored the links between health and education. We attribute this partly to the engaging and conversational delivery style of the webinar presenters. The importance of Indigenous facilitators that encourage reflective teaching should not be understated. Our results suggest that cultural humility webinars can have a positive impact on medical students' understanding of the Aboriginal and/or Torres Strait Islander health landscape. This pilot study warrants further research on a larger population.
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Affiliation(s)
- R Buhagiar
- School of Medicine, Deakin University, 75 Pigdons Road, Waurn Ponds, VIC, 3216, Australia.
| | - A Lu
- School of Medicine, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - S Liu
- School of Medicine, Monash University, Wellington Road, Clayton, VIC, 3800, Australia
| | - S Sahadevan
- School of Medicine, University of Queensland, St Lucia, QLD, 4072, Australia
| | - L M Schulz
- School of Medicine, Western Sydney University, 255 Elizabeth Street, Sydney, NSW, 2000, Australia
| | - J Ghosh
- School of Medicine, Deakin University, 75 Pigdons Road, Waurn Ponds, 3216, VIC, Australia
| | - A Yeoh
- Institute of Evidence-Based Healthcare, Bond University, 14 University Drive, Robina, QLD, 4226, Australia
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Stendahl JC, Liu Z, Boutagy NE, Parajuli N, Lu A, Alkhalil I, Lin BA, Duncan JS, Sinusas AJ. Multiaxial pressure-strain analysis of regional myocardial work in the setting of graded coronary stenoses and dobutamine stress. Am J Physiol Heart Circ Physiol 2023; 325:H492-H509. [PMID: 37417870 PMCID: PMC10538990 DOI: 10.1152/ajpheart.00735.2022] [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] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 06/26/2023] [Accepted: 06/26/2023] [Indexed: 07/08/2023]
Abstract
We present a detailed analysis of regional myocardial blood flow and work to better understand the effects of coronary stenoses and low-dose dobutamine stress. Our analysis is based on a unique open-chest model in anesthetized canines that features invasive hemodynamic monitoring, microsphere-based blood flow analysis, and an extensive three-dimensional (3-D) sonomicrometer array that provides multiaxial deformational assessments in the ischemic, border, and remote vascular territories. We use this model to construct regional pressure-strain loops for each territory and quantify the loop subcomponent areas that reflect myocardial work contributing to the ejection of blood and wasted work that does not. We demonstrate that reductions in coronary blood flow markedly alter the shapes and temporal relationships of pressure-strain loops, as well as the magnitudes of their total and subcomponent areas. Specifically, we show that moderate stenoses in the mid-left anterior descending coronary artery decrease regional midventricle myocardial work indices and substantially increase indices of wasted work. In the midventricle, these effects are most pronounced along the radial and longitudinal axes, with more modest effects along the circumferential axis. We further demonstrate that low-dose dobutamine can help to restore or even improve function, but often at the cost of increased wasted work. This detailed, multiaxial analysis provides unique insight into the physiology and mechanics of the heart in the presence of ischemia and low-dose dobutamine, with potential implications in many areas, including the detection and characterization of ischemic heart disease and the use of inotropic support for low cardiac output.NEW & NOTEWORTHY Our unique experimental model assesses cardiac pressure-strain relationships along multiple axes in multiple regions. We demonstrate that moderate coronary stenoses decrease regional myocardial work and increase wasted work and that low-dose dobutamine can help to restore myocardial function, but often with further increases in wasted work. Our findings highlight the significant directional variation of cardiac mechanics and demonstrate potential advantages of pressure-strain analyses over traditional, purely deformational measures, especially in characterizing physiological changes related to dobutamine.
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Affiliation(s)
- John C Stendahl
- Section of Cardiovascular Medicine, Department of Medicine, Yale Translational Research Imaging Center, Yale University School of Medicine, New Haven, Connecticut, United States
| | - Zhao Liu
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut, United States
| | - Nabil E Boutagy
- Department of Pharmacology, Yale University School of Medicine, New Haven, Connecticut, United States
- Vascular Biology and Therapeutics Program, Yale University School of Medicine, New Haven, Connecticut, United States
| | - Nripesh Parajuli
- Department of Biomedical Engineering, Yale University School of Engineering and Applied Science, New Haven, Connecticut, United States
| | - Allen Lu
- Department of Biomedical Engineering, Yale University School of Engineering and Applied Science, New Haven, Connecticut, United States
| | - Imran Alkhalil
- Section of Cardiovascular Medicine, Department of Medicine, Yale Translational Research Imaging Center, Yale University School of Medicine, New Haven, Connecticut, United States
| | - Ben A Lin
- Section of Cardiovascular Medicine, Department of Medicine, Yale Translational Research Imaging Center, Yale University School of Medicine, New Haven, Connecticut, United States
| | - James S Duncan
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut, United States
- Department of Biomedical Engineering, Yale University School of Engineering and Applied Science, New Haven, Connecticut, United States
| | - Albert J Sinusas
- Section of Cardiovascular Medicine, Department of Medicine, Yale Translational Research Imaging Center, Yale University School of Medicine, New Haven, Connecticut, United States
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut, United States
- Department of Biomedical Engineering, Yale University School of Engineering and Applied Science, New Haven, Connecticut, United States
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Bayer JMM, Spark J, Krcmar M, Formica M, Gwyther K, Srivastava A, Selloni A, Cotter M, Hartmann J, Polari A, Bilgrami ZR, Sarac C, Lu A, Yung AR, McGowan A, McGorry P, Shah JL, Cecchi GA, Mizrahi R, Nelson B, Corcoran CM. The SPEAK study rationale and design: A linguistic corpus-based approach to understanding thought disorder. Schizophr Res 2023; 259:80-87. [PMID: 36732110 PMCID: PMC10387495 DOI: 10.1016/j.schres.2022.12.048] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 12/27/2022] [Accepted: 12/30/2022] [Indexed: 02/04/2023]
Abstract
AIM Psychotic symptoms are typically measured using clinical ratings, but more objective and sensitive metrics are needed. Hence, we will assess thought disorder using the Research Domain Criteria (RDoC) heuristic for language production, and its recommended paradigm of "linguistic corpus-based analyses of language output". Positive thought disorder (e.g., tangentiality and derailment) can be assessed using word-embedding approaches that assess semantic coherence, whereas negative thought disorder (e.g., concreteness, poverty of speech) can be assessed using part-of-speech (POS) tagging to assess syntactic complexity. We aim to establish convergent validity of automated linguistic metrics with clinical ratings, assess normative demographic variance, determine cognitive and functional correlates, and replicate their predictive power for psychosis transition among at-risk youths. METHODS This study will assess language production in 450 English-speaking individuals in Australia and Canada, who have recent onset psychosis, are at clinical high risk (CHR) for psychosis, or who are healthy volunteers, all well-characterized for cognition, function and symptoms. Speech will be elicited using open-ended interviews. Audio files will be transcribed and preprocessed for automated natural language processing (NLP) analyses of coherence and complexity. Data analyses include canonical correlation, multivariate linear regression with regularization, and machine-learning classification of group status and psychosis outcome. CONCLUSIONS This prospective study aims to characterize language disturbance across stages of psychosis using computational approaches, including psychometric properties, normative variance and clinical correlates, important for biomarker development. SPEAK will create a large archive of language data available to other investigators, a rich resource for the field.
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Affiliation(s)
- J M M Bayer
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia.
| | - J Spark
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - M Krcmar
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - M Formica
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - K Gwyther
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - A Srivastava
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - A Selloni
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - M Cotter
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - J Hartmann
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - A Polari
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | | | - C Sarac
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - A Lu
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alison R Yung
- Orygen, Parkville, Victoria, Australia; Institute for Mental and Physical Health and Clinical Translation (IMPACT), Deakin University, Australia; School of Health Sciences, University of Manchester, United Kingdom
| | - A McGowan
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - P McGorry
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - J L Shah
- McGill Department of Psychiatry & Douglas Research Hospital, Montreal, Canada
| | - G A Cecchi
- IBM TJ Watson Research Center, Yorktown Heights, NY, USA
| | - R Mizrahi
- McGill Department of Psychiatry & Douglas Research Hospital, Montreal, Canada
| | - B Nelson
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - C M Corcoran
- Icahn School of Medicine at Mount Sinai, New York, NY, USA; James J. Peters Veterans Administration, Bronx, NY, USA
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Oliver AA, Koons EK, Trester PS, Kleinow JE, Jonsgaard RS, Vercnocke AJ, Bilgin C, Kadirvel R, Leng S, Lu A, Dragomir-Daescu D, Kallmes DF. Medical Imaging Compatibility of Magnesium- and Iron-Based Bioresorbable Flow Diverters. AJNR Am J Neuroradiol 2023; 44:668-674. [PMID: 37169543 PMCID: PMC10249688 DOI: 10.3174/ajnr.a7873] [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: 02/24/2023] [Accepted: 04/16/2023] [Indexed: 05/13/2023]
Abstract
BACKGROUND AND PURPOSE Bioresorbable flow diverters are under development to mitigate complications associated with conventional flow-diverter technology. One proposed advantage is the ability to reduce metal-induced artifacts in follow-up medical imaging. In the current work, the medical imaging compatibility of magnesium- and iron-based bioresorbable flow diverters is assessed relative to an FDA-approved control in phantom models. MATERIALS AND METHODS Bioresorbable flow diverters, primarily composed of braided magnesium or antiferromagnetic iron alloy wires, were compared with an FDA-approved control flow diverter. The devices were assessed for MR imaging safety in terms of magnetically induced force and radiofrequency heating using 1.5T, 3T, and 7T field strength clinical scanners. The devices were deployed in phantom models, and metal-induced image artifacts were assessed in the 3 MR imaging scanners and a clinical CT scanner following clinical scan protocols; device visibility was assessed under fluoroscopy. RESULTS The magnesium-based bioresorbable flow diverter, iron-based bioresorbable flow diverter, and the control device all demonstrated MR imaging safety in terms of magnetically induced force and radiofrequency heating at all 3 field strengths. The bioresorbable flow diverters did not elicit excessive MR imaging artifacts at any field strength relative to the control. Furthermore, the bioresorbable flow diverters appeared to reduce blooming artifacts in CT relative to the control. The iron-based bioresorbable flow diverter and control device were visible under standard fluoroscopy. CONCLUSIONS We have demonstrated the baseline medical imaging compatibility of magnesium and antiferromagnetic iron alloy bioresorbable flow diverters. Future work will evaluate the medical imaging characteristics of the bioresorbable flow diverters in large-animal models.
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Affiliation(s)
- A A Oliver
- From the Department of Biomedical Engineering and Physiology (A.A.O., E.K.K., S.L., D.D.-D, D.F.K.), Mayo Clinic Graduate School of Biomedical Sciences, Rochester, Minnesota
- Departments of Radiology (A.A.O., E.K.K., P.S.T., J.E.K., R.S.J., A.J.V., C.B., R.K. S.L., A.L., D.F.K.)
- Physiology and Biomedical Engineering (A.A.O., D.D.-D.)
| | - E K Koons
- From the Department of Biomedical Engineering and Physiology (A.A.O., E.K.K., S.L., D.D.-D, D.F.K.), Mayo Clinic Graduate School of Biomedical Sciences, Rochester, Minnesota
- Departments of Radiology (A.A.O., E.K.K., P.S.T., J.E.K., R.S.J., A.J.V., C.B., R.K. S.L., A.L., D.F.K.)
| | - P S Trester
- Departments of Radiology (A.A.O., E.K.K., P.S.T., J.E.K., R.S.J., A.J.V., C.B., R.K. S.L., A.L., D.F.K.)
| | - J E Kleinow
- Departments of Radiology (A.A.O., E.K.K., P.S.T., J.E.K., R.S.J., A.J.V., C.B., R.K. S.L., A.L., D.F.K.)
| | - R S Jonsgaard
- Departments of Radiology (A.A.O., E.K.K., P.S.T., J.E.K., R.S.J., A.J.V., C.B., R.K. S.L., A.L., D.F.K.)
| | - A J Vercnocke
- Departments of Radiology (A.A.O., E.K.K., P.S.T., J.E.K., R.S.J., A.J.V., C.B., R.K. S.L., A.L., D.F.K.)
| | - C Bilgin
- Departments of Radiology (A.A.O., E.K.K., P.S.T., J.E.K., R.S.J., A.J.V., C.B., R.K. S.L., A.L., D.F.K.)
| | - R Kadirvel
- Departments of Radiology (A.A.O., E.K.K., P.S.T., J.E.K., R.S.J., A.J.V., C.B., R.K. S.L., A.L., D.F.K.)
- Neurosurgery (R.K.), Mayo Clinic, Rochester, Minnesota
| | - S Leng
- From the Department of Biomedical Engineering and Physiology (A.A.O., E.K.K., S.L., D.D.-D, D.F.K.), Mayo Clinic Graduate School of Biomedical Sciences, Rochester, Minnesota
- Departments of Radiology (A.A.O., E.K.K., P.S.T., J.E.K., R.S.J., A.J.V., C.B., R.K. S.L., A.L., D.F.K.)
| | - A Lu
- Departments of Radiology (A.A.O., E.K.K., P.S.T., J.E.K., R.S.J., A.J.V., C.B., R.K. S.L., A.L., D.F.K.)
| | - D Dragomir-Daescu
- From the Department of Biomedical Engineering and Physiology (A.A.O., E.K.K., S.L., D.D.-D, D.F.K.), Mayo Clinic Graduate School of Biomedical Sciences, Rochester, Minnesota
- Physiology and Biomedical Engineering (A.A.O., D.D.-D.)
| | - D F Kallmes
- From the Department of Biomedical Engineering and Physiology (A.A.O., E.K.K., S.L., D.D.-D, D.F.K.), Mayo Clinic Graduate School of Biomedical Sciences, Rochester, Minnesota
- Departments of Radiology (A.A.O., E.K.K., P.S.T., J.E.K., R.S.J., A.J.V., C.B., R.K. S.L., A.L., D.F.K.)
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11
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Zhang M, Lu A, Wang H, Yang J. Quercetin downregulates the expression of IL15 in cancer cells through DNA methylation. Eur Rev Med Pharmacol Sci 2023; 27:2580-2590. [PMID: 37013776 DOI: 10.26355/eurrev_202303_31795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 04/05/2023]
Abstract
OBJECTIVE This study aimed to investigate the effect of quercetin on cellular immunity (via IL15 expression) against cancer and to elucidate its regulatory mechanism. MATERIALS AND METHODS HeLa cells and A549 cells were cultured in vitro and were divided into control (DMSO treated) and experimental groups (treated with different concentrations of quercetin). Transcript levels of IL15 and DNA methyltransferase (DNMTS) were measured using quantitative reverse transcription polymerase chain reaction (qRT-PCR). Genomic DNA was extracted, treated with bisulfite, and the promoter region of IL15 was cloned. Finally, Sanger sequencing was used to detect the degree of promoter methylation. RESULTS Following quercetin treatment, the expression of IL15 was significantly downregulated in HeLa and A549 cells. The methylation level of IL15 promoter in HeLa cells was about twice that of the control group, and the methylation level of IL15 promoter in A549 cells was about three times that of the control group. CONCLUSIONS Quercetin inhibits cancer cell proliferation while downregulating IL15 expression, and this regulation is achieved by increasing the methylation of the IL15 promoter.
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Affiliation(s)
- M Zhang
- Shanghai Key Laboratory of Plant Functional Genomics and Resources, Shanghai Chenshan Botanical Garden, Shanghai, China.
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12
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Mushtaq A, Woodrum D, Thompson S, Adamo D, Lomas D, Favazza C, Lu A, Kwon E. Abstract No. 91 MRI-Guided Cryoablation of Oligo-Metastatic Prostate Cancer to the Pelvic Lymph Nodes. J Vasc Interv Radiol 2023. [DOI: 10.1016/j.jvir.2022.12.138] [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: 02/27/2023] Open
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Huang H, Siewerdsen JH, Lu A, Hu Y, Zbijewski W, Unberath M, Weiss CR, Sisniega A. Multi-Stage Adaptive Spline Autofocus (MASA) with a Learned Metric for Deformable Motion Compensation in Interventional Cone-Beam CT. Proc SPIE Int Soc Opt Eng 2023; 12463:1246314. [PMID: 37937146 PMCID: PMC10629227 DOI: 10.1117/12.2654361] [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] [Subscribe] [Scholar Register] [Indexed: 11/09/2023]
Abstract
Purpose Cone-beam CT (CBCT) is widespread in abdominal interventional imaging, but its long acquisition time makes it susceptible to patient motion. Image-based autofocus has shown success in CBCT deformable motion compensation, via deep autofocus metrics and multi-region optimization, but it is challenged by the large parameter dimensionality required to capture intricate motion trajectories. This work leverages the differentiable nature of deep autofocus metrics to build a novel optimization strategy, Multi-Stage Adaptive Spine Autofocus (MASA), for compensation of complex deformable motion in abdominal CBCT. Methods MASA poses the autofocus problem as a multi-stage adaptive sampling strategy of the motion trajectory, sampled with Hermite spline basis with variable amplitude and knot temporal positioning. The adaptive method permits simultaneous optimization of the sampling phase, local temporal sampling density, and time-dependent amplitude of the motion trajectory. The optimization is performed in a multi-stage schedule with increasing number of knots that progressively accommodates complex trajectories in late stages, preconditioned by coarser components from early stages, and with minimal increase in dimensionality. MASA was evaluated in controlled simulation experiments with two types of motion trajectories: i) combinations of slow drifts with sudden jerk (sigmoid) motion; and ii) combinations of periodic motion sources of varying frequency into multi-frequency trajectories. Further validation was obtained in clinical data from liver CBCT featuring motion of contrast-enhanced vessels, and soft-tissue structures. Results The adaptive sampling strategy provided successful motion compensation in sigmoid trajectories, compared to fixed sampling strategies (mean SSIM increase of 0.026 compared to 0.011). Inspection of the estimated motion showed the capability of MASA to automatically allocate larger sampling density to parts of the scan timeline featuring sudden motion, effectively accommodating complex motion without increasing the problem dimension. Experiments on multi-frequency trajectories with 3-stage MASA (5, 10, and 15 knots) yielded a twofold SSIM increase compared to single-stage autofocus with 15 knots (0.076 vs 0.040, respectively). Application of MASA to clinical datasets resulted in simultaneous improvement on the delineation of both contrast-enhanced vessels and soft-tissue structures in the liver. Conclusion A new autofocus framework, MASA, was developed including a novel multi-stage technique for adaptive temporal sampling of the motion trajectory in combination with fully differentiable deep autofocus metrics. This novel adaptive sampling approach is a crucial step for application of deformable motion compensation to complex temporal motion trajectories.
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Affiliation(s)
- H Huang
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA
| | - J H Siewerdsen
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA
- Russell H. Morgan Department of Radiology, Johns Hopkins University, Baltimore, MD USA
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston TX USA
| | - A Lu
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA
| | - Y Hu
- Department of Computer Science, Johns Hopkins University, Baltimore, MD USA
| | - W Zbijewski
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA
| | - M Unberath
- Department of Computer Science, Johns Hopkins University, Baltimore, MD USA
| | - C R Weiss
- Russell H. Morgan Department of Radiology, Johns Hopkins University, Baltimore, MD USA
| | - A Sisniega
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA
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Vijayan R, Sheth N, Mekki L, Lu A, Uneri A, Sisniega A, Magaraggia J, Kleinszig G, Vogt S, Thiboutot J, Lee H, Yarmus L, Siewerdsen JH. 3D-2D image registration in the presence of soft-tissue deformation in image-guided transbronchial interventions. Phys Med Biol 2022; 68. [PMID: 36317269 DOI: 10.1088/1361-6560/ac9e3c] [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: 05/31/2022] [Accepted: 10/27/2022] [Indexed: 11/06/2022]
Abstract
Purpose. Target localization in pulmonary interventions (e.g. transbronchial biopsy of a lung nodule) is challenged by deformable motion and may benefit from fluoroscopic overlay of the target to provide accurate guidance. We present and evaluate a 3D-2D image registration method for fluoroscopic overlay in the presence of tissue deformation using a multi-resolution/multi-scale (MRMS) framework with an objective function that drives registration primarily by soft-tissue image gradients.Methods. The MRMS method registers 3D cone-beam CT to 2D fluoroscopy without gating of respiratory phase by coarse-to-fine resampling and global-to-local rescaling about target regions-of-interest. A variation of the gradient orientation (GO) similarity metric (denotedGO') was developed to downweight bone gradients and drive registration via soft-tissue gradients. Performance was evaluated in terms of projection distance error at isocenter (PDEiso). Phantom studies determined nominal algorithm parameters and capture range. Preclinical studies used a freshly deceased, ventilated porcine specimen to evaluate performance in the presence of real tissue deformation and a broad range of 3D-2D image mismatch.Results. Nominal algorithm parameters were identified that provided robust performance over a broad range of motion (0-20 mm), including an adaptive parameter selection technique to accommodate unknown mismatch in respiratory phase. TheGO'metric yielded median PDEiso= 1.2 mm, compared to 6.2 mm for conventionalGO.Preclinical studies with real lung deformation demonstrated median PDEiso= 1.3 mm with MRMS +GO'registration, compared to 2.2 mm with a conventional transform. Runtime was 26 s and can be reduced to 2.5 s given a prior registration within ∼5 mm as initialization.Conclusions. MRMS registration via soft-tissue gradients achieved accurate fluoroscopic overlay in the presence of deformable lung motion. By driving registration via soft-tissue image gradients, the method avoided false local minima presented by bones and was robust to a wide range of motion magnitude.
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Affiliation(s)
- R Vijayan
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America
| | - N Sheth
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America
| | - L Mekki
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America
| | - A Lu
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America
| | - A Uneri
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America
| | - A Sisniega
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America
| | | | | | - S Vogt
- Siemens Healthineers, Erlangen, Germany
| | - J Thiboutot
- Division of Pulmonary and Critical Care Medicine, Johns Hopkins Medical Institution, Baltimore, MD, United States of America
| | - H Lee
- Division of Pulmonary and Critical Care Medicine, Johns Hopkins Medical Institution, Baltimore, MD, United States of America
| | - L Yarmus
- Division of Pulmonary and Critical Care Medicine, Johns Hopkins Medical Institution, Baltimore, MD, United States of America
| | - J H Siewerdsen
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America.,Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States of America
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Chowdhury D, Yip HF, Lam K, Zhu H, Tai XC, Lu A. Dynamic expression of Ddc mediates the melatonin biosynthesis rhythms in the mouse: a virtual knockout approach. Sleep Med 2022. [DOI: 10.1016/j.sleep.2022.05.139] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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Garcia L, Jaradeh K, Ornelas-Dorian C, Lu A, Stark N, Peabody C. 262 Developing Novel Tools for Clinicians to Discuss Immigration for Resource Referral in the Emergency Department. Ann Emerg Med 2022. [DOI: 10.1016/j.annemergmed.2022.08.289] [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: 11/28/2022]
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17
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Hobbs SJ, Wein T, Lu A, Morehouse BR, Schnabel J, Leavitt A, Yirmiya E, Sorek R, Kranzusch PJ. Phage anti-CBASS and anti-Pycsar nucleases subvert bacterial immunity. Nature 2022; 605:522-526. [PMID: 35395152 PMCID: PMC9117128 DOI: 10.1038/s41586-022-04716-y] [Citation(s) in RCA: 48] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 04/01/2022] [Indexed: 11/09/2022]
Abstract
The cyclic oligonucleotide-based antiphage signalling system (CBASS) and the pyrimidine cyclase system for antiphage resistance (Pycsar) are antiphage defence systems in diverse bacteria that use cyclic nucleotide signals to induce cell death and prevent viral propagation1,2. Phages use several strategies to defeat host CRISPR and restriction-modification systems3-10, but no mechanisms are known to evade CBASS and Pycsar immunity. Here we show that phages encode anti-CBASS (Acb) and anti-Pycsar (Apyc) proteins that counteract defence by specifically degrading cyclic nucleotide signals that activate host immunity. Using a biochemical screen of 57 phages in Escherichia coli and Bacillus subtilis, we discover Acb1 from phage T4 and Apyc1 from phage SBSphiJ as founding members of distinct families of immune evasion proteins. Crystal structures of Acb1 in complex with 3'3'-cyclic GMP-AMP define a mechanism of metal-independent hydrolysis 3' of adenosine bases, enabling broad recognition and degradation of cyclic dinucleotide and trinucleotide CBASS signals. Structures of Apyc1 reveal a metal-dependent cyclic NMP phosphodiesterase that uses relaxed specificity to target Pycsar cyclic pyrimidine mononucleotide signals. We show that Acb1 and Apyc1 block downstream effector activation and protect from CBASS and Pycsar defence in vivo. Active Acb1 and Apyc1 enzymes are conserved in phylogenetically diverse phages, demonstrating that cleavage of host cyclic nucleotide signals is a key strategy of immune evasion in phage biology.
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Affiliation(s)
- Samuel J Hobbs
- Department of Microbiology, Harvard Medical School, Boston, MA, USA
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Tanita Wein
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Allen Lu
- Department of Microbiology, Harvard Medical School, Boston, MA, USA
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Benjamin R Morehouse
- Department of Microbiology, Harvard Medical School, Boston, MA, USA
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Julia Schnabel
- Department of Microbiology, Harvard Medical School, Boston, MA, USA
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Azita Leavitt
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Erez Yirmiya
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Rotem Sorek
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Philip J Kranzusch
- Department of Microbiology, Harvard Medical School, Boston, MA, USA.
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Parker Institute for Cancer Immunotherapy at Dana-Farber Cancer Institute, Boston, MA, USA.
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Nelson J, Lu A, Maestre J, Palmer E, Jarma D, Kinney K, Grubesic T, Kirisits M. Space-time analysis of COVID-19 cases and SARS-CoV-2 wastewater loading: A geodemographic perspective. Spat Spatiotemporal Epidemiol 2022; 42:100521. [PMID: 35934330 PMCID: PMC9142176 DOI: 10.1016/j.sste.2022.100521] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 05/24/2022] [Accepted: 05/26/2022] [Indexed: 11/05/2022]
Abstract
Severe acute respiratory syndrome - coronavirus 2 (SARS-CoV-2) continues to effect communities across the world. One way to combat these effects is to enhance our collective ability to remotely monitor community spread. Monitoring SARS-CoV-2 in wastewater is one approach that enables researchers to estimate the total number of infected people in a region; however, estimates are often made at the sewershed level which may mask the geographic nuance required for targeted interdiction efforts. In this work, we utilize an apportioning method to compare the spatial and temporal trends of daily case count with the temporal pattern of viral load in the wastewater at smaller units of analysis within Austin, TX. We find different lag-times between wastewater loading and case reports. Daily case reports for some locations follow the temporal trend of viral load more closely than others. These findings are then compared to socio-demographic characteristics across the study area.
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Sisniega A, Lu A, Huang H, Zbijewski W, Unberath M, Siewerdsen JH, Weiss CR. Targeted Deformable Motion Compensation for Vascular Interventional Cone-Beam CT Imaging. Proc SPIE Int Soc Opt Eng 2022; 12031:120311H. [PMID: 36381563 PMCID: PMC9654751 DOI: 10.1117/12.2613232] [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] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Purpose Cone-beam CT has become commonplace for 3D guidance in interventional radiology (IR), especially for vascular procedures in which identification of small vascular structures is crucial. However, its long image acquisition time poses a limit to image quality due to soft-tissue deformable motion that hampers visibility of small vessels. Autofocus motion compensation has shown promising potential for soft-tissue deformable motion compensation, but it lacks specific target to the imaging task. This work presents an approach for deformable motion compensation targeted at imaging of vascular structures. Methods The proposed method consists on a two-stage framework for: i) identification of contrast-enhanced blood vessels in 2D projection data and delineation of an approximate region covering the vascular target in the volume space, and, ii) a novel autofocus approach including a metric designed to promote the presence of vascular structures acting solely in the region of interest. The vesselness of the image is quantified via evaluation of the properties of the 3D image Hessian, yielding a vesselness filter that gives larger values to voxels candidate to be part of a tubular structure. A cost metric is designed to promote large vesselness values and spatial sparsity, as expected in regions of fine vascularity. A targeted autofocus method was designed by combining the presented metric with a conventional autofocus term acting outside of the region of interest. The resulting method was evaluated on simulated data including synthetic vascularity merged with real anatomical features obtained from MDCT data. Further evaluation was obtained in two clinical datasets obtained during TACE procedures with a robotic C-arm (Artis Zeego, Siemens Healthineers). Results The targeted vascular autofocus effectively restored the shape and contrast of the contrast-enhanced vascularity in the simulation cases, resulting in improved visibility and reduced artifacts. Segmentations performed with a single threshold value on the target vascular regions yielded a net increase of up to 42% in DICE coefficient computed against the static reference. Motion compensation in clinical datasets resulted in improved visibility of vascular structures, observed in maximum intensity projections of the contrast-enhanced liver vessel tree. Conclusion Targeted motion compensation for vascular imaging showed promising performance for increased identification of small vascular structures in presence of motion. The development of autofocus metrics and methods tailored to vascular imaging opens the way for reliable compensation of deformable motion while preserving the integrity of anatomical structures in the image.
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Affiliation(s)
- A Sisniega
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA
| | - A Lu
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA
| | - H Huang
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA
| | - W Zbijewski
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA
| | - M Unberath
- Department of Computer Science, Johns Hopkins University, Baltimore, MD USA
| | - J H Siewerdsen
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA
- Russell H. Morgan Department of Radiology, Johns Hopkins University, Baltimore, MD USA
| | - C R Weiss
- Russell H. Morgan Department of Radiology, Johns Hopkins University, Baltimore, MD USA
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Li HG, Zhao LH, Lu A, Liu JB, Su ZJ, Wang XB, Gao YJ. [The mechanism of circ_0023990/miR-873-5p/ANXA2 axis regulating radiosensitivity and development of thyroid carcinoma]. Zhonghua Yi Xue Za Zhi 2021; 101:3329-3337. [PMID: 34758534 DOI: 10.3760/cma.j.cn112137-20210207-00379] [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] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the effect and possible mechanism of circ_0023990 on the radiosensitivity of thyroid cancer cells. Methods: qRT-PCR was used to detect the expression of circ_0023990 in the cancer tissues of 55 patients with thyroid cancer and thyroid cancer cell lines (TPC-1, KTC-1, FTC-133 and CAL-62), and the relationship between the expression of circ_0023990 in cancer tissues and the clinical characteristics of the patients were analyzed. Thyroid cancer cells TPC-1 and KTC-1 were divided into sh-circ_0023990 group, sh-NC group, sh-circ_0023990+anti-miR-873-5p group, sh-circ_0023990+anti-miR-NC group, miR-873-5p group, miR-NC group, miR-873-5p+pcDNA-ANXA2 group and miR-873-5p+pcDNA group, and then clone formation experiment was used to detect cell radiosensitivity. After each group of cells was irradiated with 4Gy radiation, the expression of γH2AX protein in the cells was detected by Western Blot. The dual luciferase reporter gene experiment verified the targeting relationship between circ_0023990 and miR-873-5p or miR-873-5p and ANXA2. Results: The expression of circ_0023990 in thyroid cancer tissues was higher than that in normal tissues (2.15±0.09 vs. 0.97±0.05, P<0.05), and its expression was closely related to tumor size, lymph node metastasis and TNM staging of patients with thyroid cancer (P<0.05). The expression of circ_0023990 in thyroid cancer cell lines (TPC-1, KTC-1, FTC-133 and CAL-62) were higher than that of normal thyroid cells HTori-3 (3.16±0.38, 2.63±0.28, 1.82±0.24, 1.71±0.22 vs. 1.00±0.10, all P<0.05). The survival scores of TPC-1 and KTC-1 cells in the sh-circ_0023990 group were significantly lower than those in the sh-NC group (P<0.05), and the sensitization ratios were 2.482, 1.643; The survival scores of TPC-1 and KTC-1 cells in the sh-circ_0023990+anti-miR-873-5p group were higher than those in the sh-circ_0023990+anti-miR-NC group (P<0.05), and the sensitization ratios were 0.305, 0.441, respectively. The survival scores of TPC-1 and KTC-1 cells in the miR-873-5p group were lower than those in the miR-NC group (P<0.05), and the sensitization ratios were 2.044, 1.653 respectively. The survival scores of TPC-1 and KTC-1 cells in the miR-873-5p+pcDNA-ANXA2 group was higher than that in the miR-873-5p+pcDNA group (P<0.05), and the sensitization ratios were 0.496, 0.686, respectively. The expression of γH2AX protein in TPC-1 and KTC-1 cells of the 4 Gy+sh-circ_0023990 group were higher than that in the 4 Gy+sh-NC group (2.68±0.27 vs. 1.87±0.25, 2.46±0.19 vs. 1.77±0.14; all P<0.05), but the expression of γH2AX protein in TPC-1 and KTC-1 cells of the 4 Gy+sh-circ_0023990+anti-miR-873-5p group were lower than that in the 4 Gy+sh-circ_0023990+anti-miR-NC group (1.13±0.09 vs. 1.69±0.09, 1.11±0.08 vs. 1.60±0.08; both P<0.05). The expression of γH2AX protein in TPC-1 and KTC-1 cells in the 4 Gy+miR-873-5p group were higher than that in the 4 Gy+miR-NC group (2.35±0.16 vs. 1.84±0.14, 2.26±0.12 vs. 1.77±0.13; both P<0.05), but the expression of γH2AX protein in TPC-1 and KTC-1 cells of the 4 Gy+miR-873-5p+pcDNA-ANXA2 group were lower than that in the 4 Gy+miR-873-5p+pcDNA group (1.96±0.12 vs. 2.41±0.12, 1.92±0.07 vs. 2.28±0.12; both P<0.05). circ_0023990 targeted the negative regulation of miR-873-5p, and ANXA2 was the target gene of miR-873-5p. Conclusion: circ_0023990 was highly expressed in thyroid cancer tissues and cell lines, and it may promote the radiotherapy resistance of thyroid cancer cells in vivo through regulating miR-873-5p/ANXA2 axis.
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Affiliation(s)
- H G Li
- Department of Thyroid Surgery,Henan Provincial People's Hospital, Zhengzhou, 450003, China
| | - L H Zhao
- Department of Disinfection Supply Center,Fuwai Central China Cardiovascular Hospital, Zhengzhou, 450003, China
| | - A Lu
- Department of Thyroid Surgery,Henan Provincial People's Hospital, Zhengzhou, 450003, China
| | - J B Liu
- Department of Radiotherapy,Henan Provincial People's Hospital, Zhengzhou, 450003, China
| | - Z J Su
- Department of Thyroid Surgery,Henan Provincial People's Hospital, Zhengzhou, 450003, China
| | - X B Wang
- Department of Nuclear Medicine,Henan Provincial People's Hospital, Zhengzhou, 450003, China
| | - Y J Gao
- Department of Nuclear Medicine,Henan Provincial People's Hospital, Zhengzhou, 450003, China
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Zakharevich M, Kippenhan M, Lu A, Mark Courtney D, McCarthy D, Kim H. 238 Antibiotic and Opioid Antitussive Prescribing Among Urgent Care and Emergency Department Visits for Respiratory Diagnoses. Ann Emerg Med 2021. [DOI: 10.1016/j.annemergmed.2021.09.250] [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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22
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Grade M, Stark N, Emanuels D, Lu A, Leung S, Peabody C. 13 Impact of an Electronic Decision Tool for Social Resources upon Discharge. Ann Emerg Med 2021. [DOI: 10.1016/j.annemergmed.2021.09.021] [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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23
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Lu A, Ahn SS, Ta K, Parajuli N, Stendahl JC, Liu Z, Boutagy NE, Jeng GS, Staib LH, O'Donnell M, Sinusas AJ, Duncan JS. Learning-Based Regularization for Cardiac Strain Analysis via Domain Adaptation. IEEE Trans Med Imaging 2021; 40:2233-2245. [PMID: 33872145 PMCID: PMC8442959 DOI: 10.1109/tmi.2021.3074033] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Reliable motion estimation and strain analysis using 3D+ time echocardiography (4DE) for localization and characterization of myocardial injury is valuable for early detection and targeted interventions. However, motion estimation is difficult due to the low-SNR that stems from the inherent image properties of 4DE, and intelligent regularization is critical for producing reliable motion estimates. In this work, we incorporated the notion of domain adaptation into a supervised neural network regularization framework. We first propose a semi-supervised Multi-Layered Perceptron (MLP) network with biomechanical constraints for learning a latent representation that is shown to have more physiologically plausible displacements. We extended this framework to include a supervised loss term on synthetic data and showed the effects of biomechanical constraints on the network's ability for domain adaptation. We validated the semi-supervised regularization method on in vivo data with implanted sonomicrometers. Finally, we showed the ability of our semi-supervised learning regularization approach to identify infarct regions using estimated regional strain maps with good agreement to manually traced infarct regions from postmortem excised hearts.
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Lu A, Gunzburger E, Glorioso T, Smith W, Whooley M, Ho M. Impact of Longitudinal Virtual Primary Care on Diabetes Quality of Care. Health Serv Res 2020. [DOI: 10.1111/1475-6773.13443] [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: 11/29/2022] Open
Affiliation(s)
- A. Lu
- San Francisco Veterans Affairs Health Care System San Francisco CA United States
- University of California San Francisco San Francisco CA United States
| | - E. Gunzburger
- VA Eastern Colorado Health Care System Aurora CO United States
| | - T. Glorioso
- Denver‐Seattle Center of Innovation (COIN) Denver CO United States
| | - W. Smith
- San Francisco Veterans Affairs Health Care System San Francisco CA United States
- University of California San Francisco San Francisco CA United States
| | - M. Whooley
- San Francisco Veterans Affairs Health Care System San Francisco CA United States
- University of California San Francisco San Francisco CA United States
| | - M. Ho
- University of Colorado Hospital Denver CO United States
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Abstract
Zero TE MR imaging is a novel technique that achieves a near-zero time interval between radiofrequency excitation and data acquisition, enabling visualization of short-T2 materials such as cortical bone. Zero TE offers a promising radiation-free alternative to CT with rapid, high-resolution, silent, and artifact-resistant imaging, as well as the potential for "pseudoCT" reconstructions. In this report, we will discuss our preliminary experience with zero TE, including technical principles and a clinical case series demonstrating emerging applications in neuroradiology.
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Affiliation(s)
- A Lu
- Department of Medical Physics (A.L., K.R.G.), Mayo Clinic, Rochester, Minnesota
| | - K R Gorny
- Department of Medical Physics (A.L., K.R.G.), Mayo Clinic, Rochester, Minnesota
| | - M-L Ho
- From the Department of Radiology, Nationwide Children's Hospital (M.-L.H.), The Ohio State University College of Medicine, Columbus, Ohio
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Ta K, Ahn SS, Lu A, Stendahl JC, Sinusas AJ, Duncan JS. A SEMI-SUPERVISED JOINT LEARNING APPROACH TO LEFT VENTRICULAR SEGMENTATION AND MOTION TRACKING IN ECHOCARDIOGRAPHY. Proc IEEE Int Symp Biomed Imaging 2020; 2020:1734-1737. [PMID: 33005289 PMCID: PMC7526517 DOI: 10.1109/isbi45749.2020.9098664] [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] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Accurate interpretation and analysis of echocardiography is important in assessing cardiovascular health. However, motion tracking often relies on accurate segmentation of the myocardium, which can be difficult to obtain due to inherent ultrasound properties. In order to address this limitation, we propose a semi-supervised joint learning network that exploits overlapping features in motion tracking and segmentation. The network simultaneously trains two branches: one for motion tracking and one for segmentation. Each branch learns to extract features relevant to their respective tasks and shares them with the other. Learned motion estimations propagate a manually segmented mask through time, which is used to guide future segmentation predictions. Physiological constraints are introduced to enforce realistic cardiac behavior. Experimental results on synthetic and in vivo canine 2D+t echocardiographic sequences outperform some competing methods in both tasks.
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Affiliation(s)
- Kevinminh Ta
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
| | - Shawn S Ahn
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
| | | | - John C Stendahl
- Department of Internal Medicine, Yale University, New Haven, CT, USA
| | - Albert J Sinusas
- Department of Internal Medicine, Yale University, New Haven, CT, USA
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA
| | - James S Duncan
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
- Department of Electrical Engineering, Yale University, New Haven, CT, USA
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA
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27
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Ahn SS, Ta K, Lu A, Stendahl JC, Sinusas AJ, Duncan JS. Unsupervised Motion Tracking of Left Ventricle in Echocardiography. Proc SPIE Int Soc Opt Eng 2020; 11319:113190Z. [PMID: 32994659 PMCID: PMC7521020] [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] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Accurate motion tracking of the left ventricle is critical in detecting wall motion abnormalities in the heart after an injury such as a myocardial infarction. We propose an unsupervised motion tracking framework with physiological constraints to learn dense displacement fields between sequential pairs of 2-D B-mode echocardiography images. Current deep-learning motion-tracking algorithms require large amounts of data to provide ground-truth, which is difficult to obtain for in vivo datasets (such as patient data and animal studies), or are unsuccessful in tracking motion between echocardiographic images due to inherent ultrasound properties (such as low signal-to-noise ratio and various image artifacts). We design a U-Net inspired convolutional neural network that uses manually traced segmentations as a guide to learn displacement estimations between a source and target image without ground-truth displacement fields by minimizing the difference between a transformed source frame and the original target frame. We then penalize divergence in the displacement field in order to enforce incompressibility within the left ventricle. We demonstrate the performance of our model on synthetic and in vivo canine 2-D echocardiography datasets by comparing it against a non-rigid registration algorithm and a shape-tracking algorithm. Our results show favorable performance of our model against both methods.
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Affiliation(s)
- Shawn S. Ahn
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
| | - Kevinminh Ta
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
| | - Allen Lu
- EchoNous Inc., Redmond, WA, U.S.A
| | - John C. Stendahl
- Department of Internal Medicine, Yale University, New Haven, CT, USA
| | - Albert J. Sinusas
- Department of Diagnostic Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA
- Department of Internal Medicine, Yale University, New Haven, CT, USA
| | - James S. Duncan
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
- Department of Electrical Engineering, Yale University, New Haven, CT, USA
- Department of Diagnostic Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA
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28
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Stendahl JC, Parajuli N, Lu A, Boutagy NE, Guerrera N, Alkhalil I, Lin BA, Staib LH, O'Donnell M, Duncan JS, Sinusas AJ. Regional myocardial strain analysis via 2D speckle tracking echocardiography: validation with sonomicrometry and correlation with regional blood flow in the presence of graded coronary stenoses and dobutamine stress. Cardiovasc Ultrasound 2020; 18:2. [PMID: 31941514 PMCID: PMC6964036 DOI: 10.1186/s12947-019-0183-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Accepted: 12/23/2019] [Indexed: 01/17/2023] Open
Abstract
Background Quantitative regional strain analysis by speckle tracking echocardiography (STE) may be particularly useful in the assessment of myocardial ischemia and viability, although reliable measurement of regional strain remains challenging, especially in the circumferential and radial directions. We present an acute canine model that integrates a complex sonomicrometer array with microsphere blood flow measurements to evaluate regional myocardial strain and flow in the setting of graded coronary stenoses and dobutamine stress. We apply this unique model to rigorously evaluate a commercial 2D STE software package and explore fundamental regional myocardial flow-function relationships. Methods Sonomicrometers (16 crystals) were implanted in epicardial and endocardial pairs across the anterior myocardium of anesthetized open chest dogs (n = 7) to form three adjacent cubes representing the ischemic, border, and remote regions, as defined by their relative locations to a hydraulic occluder on the mid-left anterior descending coronary artery (LAD). Additional cardiac (n = 3) and extra-cardiac (n = 3) reference crystals were placed to define the cardiac axes and aid image registration. 2D short axis echocardiograms, sonometric data, and microsphere blood flow data were acquired at baseline and in the presence of mild and moderate LAD stenoses, both before and during low-dose dobutamine stress (5 μg/kg/min). Regional end-systolic 2D STE radial and circumferential strains were calculated with commercial software (EchoInsight) and compared to those determined by sonomicrometry and to microsphere blood flow measurements. Post-systolic indices (PSIs) were also calculated for radial and circumferential strains. Results Low-dose dobutamine augmented both strain and flow in the presence of mild and moderate stenoses. Regional 2D STE strains correlated moderately with strains assessed by sonomicrometry (Rradial = 0.56, p < 0.0001; Rcirc = 0.55, p < 0.0001) and with regional flow quantities (Rradial = 0.61, Rcirc = 0.63). Overall, correspondence between 2D STE and sonomicrometry was better in the circumferential direction (Bias ± 1.96 SD: − 1.0 ± 8.2% strain, p = 0.06) than the radial direction (5.7 ± 18.3%, p < 0.0001). Mean PSI values were greatest in low flow conditions and normalized with low-dose dobutamine. Conclusions 2D STE identifies changes in regional end-systolic circumferential and radial strain produced by mild and moderate coronary stenoses and low-dose dobutamine stress. Regional 2D STE end-systolic strain measurements correlate modestly with regional sonomicrometer strain and microsphere flow measurements.
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Affiliation(s)
- John C Stendahl
- Section of Cardiovascular Medicine, Department of Medicine, Yale Translational Research Imaging Center, Yale University School of Medicine, P.O. Box 208017, Dana 3, New Haven, CT, 06520, USA
| | - Nripesh Parajuli
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA
| | - Allen Lu
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA
| | - Nabil E Boutagy
- Section of Cardiovascular Medicine, Department of Medicine, Yale Translational Research Imaging Center, Yale University School of Medicine, P.O. Box 208017, Dana 3, New Haven, CT, 06520, USA
| | - Nicole Guerrera
- Section of Cardiovascular Medicine, Department of Medicine, Yale Translational Research Imaging Center, Yale University School of Medicine, P.O. Box 208017, Dana 3, New Haven, CT, 06520, USA
| | - Imran Alkhalil
- Section of Cardiovascular Medicine, Department of Medicine, Yale Translational Research Imaging Center, Yale University School of Medicine, P.O. Box 208017, Dana 3, New Haven, CT, 06520, USA
| | - Ben A Lin
- Section of Cardiovascular Medicine, Department of Medicine, Yale Translational Research Imaging Center, Yale University School of Medicine, P.O. Box 208017, Dana 3, New Haven, CT, 06520, USA
| | - Lawrence H Staib
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA.,Department of Biomedical Engineering, Yale University School of Engineering and Applied Science, New Haven, CT, 06520, USA
| | - Matthew O'Donnell
- Department of Bioengineering, University of Washington, Seattle, WA, 98195-5061, USA
| | - James S Duncan
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA.,Department of Biomedical Engineering, Yale University School of Engineering and Applied Science, New Haven, CT, 06520, USA
| | - Albert J Sinusas
- Section of Cardiovascular Medicine, Department of Medicine, Yale Translational Research Imaging Center, Yale University School of Medicine, P.O. Box 208017, Dana 3, New Haven, CT, 06520, USA. .,Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA. .,Department of Biomedical Engineering, Yale University School of Engineering and Applied Science, New Haven, CT, 06520, USA.
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29
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Reddy B, Bavi N, Lu A, Park Y, Perozo E. Molecular basis of force-from-lipids gating in the mechanosensitive channel MscS. eLife 2019; 8:50486. [PMID: 31880537 PMCID: PMC7299334 DOI: 10.7554/elife.50486] [Citation(s) in RCA: 66] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Accepted: 12/27/2019] [Indexed: 12/28/2022] Open
Abstract
Prokaryotic mechanosensitive (MS) channels open by sensing the physical state of the membrane. As such, lipid-protein interactions represent the defining molecular process underlying mechanotransduction. Here, we describe cryo-electron microscopy (cryo-EM) structures of the E. coli small-conductance mechanosensitive channel (MscS) in nanodiscs (ND). They reveal a novel membrane-anchoring fold that plays a significant role in channel activation and establish a new location for the lipid bilayer, shifted ~14 Å from previous consensus placements. Two types of lipid densities are explicitly observed. A phospholipid that ‘hooks’ the top of each TM2-TM3 hairpin and likely plays a role in force sensing, and a bundle of acyl chains occluding the permeation path above the L105 cuff. These observations reshape our understanding of force-from-lipids gating in MscS and highlight the key role of allosteric interactions between TM segments and phospholipids bound to key dynamic components of the channel.
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Affiliation(s)
- Bharat Reddy
- Department of Biochemistry and Molecular Biology, The University of Chicago, Chicago, United States
| | - Navid Bavi
- Department of Biochemistry and Molecular Biology, The University of Chicago, Chicago, United States
| | - Allen Lu
- Department of Biochemistry and Molecular Biology, The University of Chicago, Chicago, United States
| | - Yeonwoo Park
- Department of Ecology and Evolution, The University of Chicago, Chicago, United States
| | - Eduardo Perozo
- Department of Biochemistry and Molecular Biology, The University of Chicago, Chicago, United States.,Institute for Biophysical Dynamics, The University of Chicago, Chicago, United States
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30
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Chowdhury D, Wang C, Lu A, Zhu H. Quantitatively decoding the circadian transcriptional regulations: an advanced approach in sleep medicine. Sleep Med 2019. [DOI: 10.1016/j.sleep.2019.11.205] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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31
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Liang W, Lu A, Chu C, Wang J, Davis D, Liang W. REGULATION OF VOLTAGE-GATED SODIUM CURRENT BY WNT SIGNALLING IN HEALTHY AND BRUGADA SYNDROME HUMAN CARDIOMYOCYTES. Can J Cardiol 2019. [DOI: 10.1016/j.cjca.2019.07.303] [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: 11/27/2022] Open
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32
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Wu Z, Zhong M, Li M, Huang H, Liao J, Lu A, Guo K, Ma N, Lin J, Duan J, Liu L, Xu F, Zhong Z, Chen J. Mutation Analysis of Pre-mRNA Splicing Genes PRPF31, PRPF8, and SNRNP200 in Chinese Families with Autosomal Dominant Retinitis Pigmentosa. Curr Mol Med 2019; 18:287-294. [PMID: 30360737 DOI: 10.2174/1566524018666181024160452] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [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: 08/04/2018] [Revised: 09/28/2018] [Accepted: 09/28/2018] [Indexed: 11/22/2022]
Abstract
BACKGROUND To screen variants in pre-mRNA Splicing genes in 95 Chinese autosomal dominant retinitis pigmentosa (adRP) families. METHODS Clinical examination and pedigree analysis were performed. Targeted exome sequencing (TES) and / or Sanger sequencing were performed to detect the variants in genes of Splicing factors and conduct intra-familiar segregation analysis with DNA available. In silico analysis was performed to predict pathogenicity of variants in protein level and in vitro splicing assays were performed to compare splicing variants with their corresponding wildtype about their splicing effect. RESULTS In this study, total nine different variants were identified in PRPF31, SNRNP200, and PRPF8 respectively, including six PRPF31 variants [five novel variants 322+1G>A, c.527+2T>G, c.590T>C(p.Leu197Pro), c.1035_1036insGC (p.Pro346Argfs X18), and c.1224dupG (p.Gln409AlafsX66) plus one reported variant c.1060C>T (p.Arg354X)], a recurrent PRPF8 variant c.6930G>T (p.Arg2310Ser), two SNRNP200 variants [one heterozygous and homozygous SNRNP200 recurrent variant c.3260G>A (p.Ser1087Leu), and a reported heterozygous c.2042G>A(p.Arg681His)]. In family 20009, incomplete penetrance was observed. A novel PRPF31 missense variant c.590T>C (p.Leu197Pro) was predicted to be pathogenic in protein level via in silico analysis and in vitro splicing assay demonstrated that two novel splicing PRPF31 variants c.322+1G>A and c.527+2T>G affect splicing compared with the wildtype. CONCLUSIONS In our studies, RP-causing variants of pre-mRNA Splicing genes (PRPF31, PRPF8 and SNRNP200) were identified in nine of the ninety-five adRP families respectively, which extend the spectra of RP variant and phenotype. And we provide the first example that SNRNP200-related RP can be caused by both heterozygous and homozygous variants of this gene.
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Affiliation(s)
- Z Wu
- Department of Ophthalmology of Shanghai Tenth People's Hospital, and Tongji Eye Institute, Tongji University School of Medicine, Shanghai, China.,Department of Medical Genetics, Tongji University School of Medicine, Shanghai, China
| | - M Zhong
- Department of Ophthalmology of Pingxiang People's Hospital, Pingxiang, Jiangxi, China
| | - M Li
- Department of Ophthalmology of The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China
| | - H Huang
- Department of Ophthalmology of The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China
| | - J Liao
- Department of Ophthalmology of Shanghai Tenth People's Hospital, and Tongji Eye Institute, Tongji University School of Medicine, Shanghai, China.,Department of Medical Genetics, Tongji University School of Medicine, Shanghai, China
| | - A Lu
- Department of Bioinformatics, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - K Guo
- Department of Ophthalmology of Shanghai Tenth People's Hospital, and Tongji Eye Institute, Tongji University School of Medicine, Shanghai, China.,Department of Medical Genetics, Tongji University School of Medicine, Shanghai, China
| | - N Ma
- Department of Ophthalmology of Shanghai Tenth People's Hospital, and Tongji Eye Institute, Tongji University School of Medicine, Shanghai, China.,Department of Medical Genetics, Tongji University School of Medicine, Shanghai, China
| | - J Lin
- Department of Ophthalmology of Shanghai Tenth People's Hospital, and Tongji Eye Institute, Tongji University School of Medicine, Shanghai, China.,Department of Medical Genetics, Tongji University School of Medicine, Shanghai, China
| | - J Duan
- Maternity and Child Health Care Hospital, Jiujiang, Jiangxi Province, China
| | - L Liu
- Department of Ophthalmology of The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China
| | - F Xu
- Department of Ophthalmology of The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China
| | - Z Zhong
- Department of Ophthalmology of Shanghai Tenth People's Hospital, and Tongji Eye Institute, Tongji University School of Medicine, Shanghai, China.,Department of Medical Genetics, Tongji University School of Medicine, Shanghai, China
| | - J Chen
- Department of Ophthalmology of Shanghai Tenth People's Hospital, and Tongji Eye Institute, Tongji University School of Medicine, Shanghai, China.,Department of Medical Genetics, Tongji University School of Medicine, Shanghai, China
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VASQUEZ C, Lu A. MON-285 BROWN TUMOR IN A DIALYSIS PATIENT WHO RESPONDED TO PARATHYROIDECTOMY: A CASE REPORT. Kidney Int Rep 2019. [DOI: 10.1016/j.ekir.2019.05.1091] [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: 10/26/2022] Open
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Lu J, Zhao J, Jia C, Zhou L, Cai Y, Ni J, Ma J, Zheng M, Lu A. FPR2 enhances colorectal cancer progression by promoting EMT process. Neoplasma 2019; 66:785-791. [PMID: 31288528 DOI: 10.4149/neo_2018_181123n890] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2018] [Accepted: 05/02/2019] [Indexed: 11/08/2022]
Abstract
Formyl peptide receptor-2 (FPR2) has been shown to promote various tumors, but its role in colorectal cancer (CRC) has not been clearly illuminated. The aim of this study was to investigate the effect of FPR2 interference on cell proliferation, migration, invasion, apoptosis, pro-angiogenesis of CRC cells, and also the mechanisms involved. Quantitative PCR assays were applied to assess the expression levels of FPR2 in CRC tissues. CRC cell line SW1116 was chosen to perform this study. We knocked down FPR2 gene by sh-RNA. Then, the cell proliferation was assayed by soft agar colony formation assay, the cell migration capacity was checked by wound healing assay, and cell invasion ability was detected by transwell assay. In addition, flow cytometric analysis was used to detect apoptosis, while endothelial tube formation assay was used to evaluate the effects of FPR2 on pro-angiogenesis in vitro. Tumorigenesis experiment in vivo was performed in nude mice. EMT-related proteins were studied by western blotting. Quantitative PCR demonstrated that FPR2 mRNA was highly expressed in the colorectal cancer tissues. SW1116 cells' capacities of proliferation, migration, invasion, anti-apoptosis and pro-angiogenesis were distinctly suppressed after silencing FPR2 in SW1116 by sh-RNA. Suppression FPR2 mRNA in SW1116 cells suppressed tumorigenicity in nude mice. The expression of proteins related to epithelial-mesenchymal transition (EMT) such as E-cadherin, N-cadherin, Snail, Slug and vimentin was changed after suppressing FPR2. In conclusion, our study demonstrated that FPR2 could promote CRC cells progression in vitro and in vivo that may relate to promoting EMT.
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Affiliation(s)
- J Lu
- Department of General Surgery, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China
| | - J Zhao
- Shanghai Minimally Invasive Surgery Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - C Jia
- Department of General Surgery, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China
| | - L Zhou
- Department of General Surgery, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China
| | - Y Cai
- Department of General Surgery, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China
| | - J Ni
- Department of General Surgery, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China
| | - J Ma
- Shanghai Minimally Invasive Surgery Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - M Zheng
- Shanghai Minimally Invasive Surgery Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - A Lu
- Shanghai Minimally Invasive Surgery Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai, China
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35
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Parajuli N, Lu A, Ta K, Stendahl J, Boutagy N, Alkhalil I, Eberle M, Jeng GS, Zontak M, O'Donnell M, Sinusas AJ, Duncan JS. Flow network tracking for spatiotemporal and periodic point matching: Applied to cardiac motion analysis. Med Image Anal 2019; 55:116-135. [PMID: 31055125 DOI: 10.1016/j.media.2019.04.007] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [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: 07/09/2018] [Revised: 02/16/2019] [Accepted: 04/17/2019] [Indexed: 12/15/2022]
Abstract
The accurate quantification of left ventricular (LV) deformation/strain shows significant promise for quantitatively assessing cardiac function for use in diagnosis and therapy planning. However, accurate estimation of the displacement of myocardial tissue and hence LV strain has been challenging due to a variety of issues, including those related to deriving tracking tokens from images and following tissue locations over the entire cardiac cycle. In this work, we propose a point matching scheme where correspondences are modeled as flow through a graphical network. Myocardial surface points are set up as nodes in the network and edges define neighborhood relationships temporally. The novelty lies in the constraints that are imposed on the matching scheme, which render the correspondences one-to-one through the entire cardiac cycle, and not just two consecutive frames. The constraints also encourage motion to be cyclic, which an important characteristic of LV motion. We validate our method by applying it to the estimation of quantitative LV displacement and strain estimation using 8 synthetic and 8 open-chested canine 4D echocardiographic image sequences, the latter with sonomicrometric crystals implanted on the LV wall. We were able to achieve excellent tracking accuracy on the synthetic dataset and observed a good correlation with crystal-based strains on the in-vivo data.
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Affiliation(s)
- Nripesh Parajuli
- Department of Electrical Engineering, Yale University, New Haven, CT 06520, USA.
| | - Allen Lu
- Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA
| | - Kevinminh Ta
- Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA
| | - John Stendahl
- Department of Internal Medicine, Yale University, New Haven, CT 06520, USA
| | - Nabil Boutagy
- Department of Internal Medicine, Yale University, New Haven, CT 06520, USA
| | - Imran Alkhalil
- Department of Internal Medicine, Yale University, New Haven, CT 06520, USA
| | - Melissa Eberle
- Department of Internal Medicine, Yale University, New Haven, CT 06520, USA
| | - Geng-Shi Jeng
- Department of Bioengineering, Washington University, Seattle 98195, WA, USA
| | - Maria Zontak
- College of Computer and Information Science, Northeastern University, Seattle 98195, WA, USA
| | - Matthew O'Donnell
- Department of Bioengineering, Washington University, Seattle 98195, WA, USA
| | - Albert J Sinusas
- Department of Internal Medicine, Yale University, New Haven, CT 06520, USA; Department of Radiology & Biomedical Imaging, Yale University, New Haven, CT 06520, USA
| | - James S Duncan
- Department of Electrical Engineering, Yale University, New Haven, CT 06520, USA; Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA; Department of Radiology & Biomedical Imaging, Yale University, New Haven, CT 06520, USA
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36
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Reddy B, Lu A, Bavi N, Hsu A, Borgnia M, Perozo E. High-Resolution Structures of MscS in a Lipid Bilayer: Reinterpreting “Force from Lipids” Activation in Mechanosensitive Channels. Biophys J 2019. [DOI: 10.1016/j.bpj.2018.11.2479] [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: 10/27/2022] Open
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37
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Levine M, Lu A, Quach A, Chen B, Baccarelli A, Whitsel E, Ferrucci L, Horvath S. AN EPIGENETIC CLOCK FOR AGING AND LIFE EXPECTANCY. Innov Aging 2018. [DOI: 10.1093/geroni/igy023.231] [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: 11/14/2022] Open
Affiliation(s)
- M Levine
- Yale School of Medicine, New Haven, Connecticut, United States
| | - A Lu
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - A Quach
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - B Chen
- LIFE Epigenetics, Los Angeles, CA, USA
| | - A Baccarelli
- Laboratory of Environmental Epigenetics, Departments of Environmental Health Sciences Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - E Whitsel
- Dept. of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - L Ferrucci
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, USA. Baltimore, MD, USA
| | - S Horvath
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
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38
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Lu A, Adamo M, Warren O. 271EMF Understanding High Utilization of the Emergency Department: An Interview Study. Ann Emerg Med 2018. [DOI: 10.1016/j.annemergmed.2018.08.276] [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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Tan L, Jiang W, Lu A, Cai H, Kong L. miR-155 Aggravates Liver Ischemia/reperfusion Injury by Suppressing SOCS1 in Mice. Transplant Proc 2018; 50:3831-3839. [PMID: 30577275 DOI: 10.1016/j.transproceed.2018.08.060] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [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: 05/20/2018] [Accepted: 08/16/2018] [Indexed: 01/23/2023]
Abstract
Liver ischemia/reperfusion injury (IRI) occurs during partial liver resection and liver transplantation. Activation of Toll-like receptors (TLRs) is a key event triggered by a range of proinflammatory cytokines during liver I/R. Although it has been reported that miR-155 takes part in both innate and adaptive immune responses, the potential role of miR-155 in liver IRI remains unknown. In this study, we found that expression of miR-155 was upregulated during liver I/R by many inflammatory cytokines, and forced expression of miR-155 aggravated hepatocyte injury following liver I/R both in vivo and in vitro. Mice transfected with Ago-miR-155-a chemically modified miR-155-showed enhanced liver severity compared to those transfected with negative control miRNA by inhibiting the expression of SOCS1, the target of miR-155. Thus by the inhibition of SOCS1, the overexpression of miR-155 promoted activation of NF-κB, and elevating the production of proinflammatory cytokines, such TNF-α and IL-6. In conclusion, miR-155 aggravates liver I/R injury in vivo and hepatocyte hypoxia/reoxygenation injury by suppressing the expression of SOCS1.
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Affiliation(s)
- L Tan
- Surgical Intensive Care Unit, The First Affiliated Hospital School of Medicine, Zhejiang University, Hangzhou, China
| | - W Jiang
- Department of Neonatal Surgery, Nanjing Children's Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - A Lu
- Surgical Intensive Care Unit, The First Affiliated Hospital School of Medicine, Zhejiang University, Hangzhou, China
| | - H Cai
- Surgical Intensive Care Unit, The First Affiliated Hospital School of Medicine, Zhejiang University, Hangzhou, China
| | - L Kong
- Liver Transplantation Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
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40
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Suinesiaputra A, Ablin P, Albà X, Alessandrini M, Allen J, Bai W, Çimen S, Claes P, Cowan BR, D’hooge J, Duchateau N, Ehrhardt J, Frangi AF, Gooya A, Grau V, Lekadir K, Lu A, Mukhopadhyay A, Oksuz I, Parajuli N, Pennec X, Pereañez M, Pinto C, Piras P, Rohé MM, Rueckert D, Säring D, Sermesant M, Siddiqi K, Tabassian M, Teresi L, Tsaftaris SA, Wilms M, Young AA, Zhang X, Medrano-Gracia P. Statistical shape modeling of the left ventricle: myocardial infarct classification challenge. IEEE J Biomed Health Inform 2018; 22:503-515. [PMID: 28103561 PMCID: PMC5857476 DOI: 10.1109/jbhi.2017.2652449] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [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: 01/20/2023]
Abstract
Statistical shape modeling is a powerful tool for visualizing and quantifying geometric and functional patterns of the heart. After myocardial infarction (MI), the left ventricle typically remodels in response to physiological challenges. Several methods have been proposed in the literature to describe statistical shape changes. Which method best characterizes left ventricular remodeling after MI is an open research question. A better descriptor of remodeling is expected to provide a more accurate evaluation of disease status in MI patients. We therefore designed a challenge to test shape characterization in MI given a set of three-dimensional left ventricular surface points. The training set comprised 100 MI patients, and 100 asymptomatic volunteers (AV). The challenge was initiated in 2015 at the Statistical Atlases and Computational Models of the Heart workshop, in conjunction with the MICCAI conference. The training set with labels was provided to participants, who were asked to submit the likelihood of MI from a different (validation) set of 200 cases (100 AV and 100 MI). Sensitivity, specificity, accuracy and area under the receiver operating characteristic curve were used as the outcome measures. The goals of this challenge were to (1) establish a common dataset for evaluating statistical shape modeling algorithms in MI, and (2) test whether statistical shape modeling provides additional information characterizing MI patients over standard clinical measures. Eleven groups with a wide variety of classification and feature extraction approaches participated in this challenge. All methods achieved excellent classification results with accuracy ranges from 0.83 to 0.98. The areas under the receiver operating characteristic curves were all above 0.90. Four methods showed significantly higher performance than standard clinical measures. The dataset and software for evaluation are available from the Cardiac Atlas Project website1.
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Affiliation(s)
- Avan Suinesiaputra
- AS, XZ, BRC, AAY and PM-G are with the Department of Anatomy and Medical Imaging, Auckland, New Zealand. WB and DR are with Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK. AM is with Zuse Institute Berlin, Germany. IO and SAT are with IMT Institute for Advanced Studies Lucca, Italy. SAT is also with the University of Edinburgh, UK. JA and VG are with the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford. PA and KS are with School of Computer Science and Centre for Intelligent Machines, McGill University. KL, MP, and XA are with Department of Information and Communication Technologies, Universitat Pompeu Fabra Barcelona, Spain. SÇ, AG, CP and AFF are with the Center for Computational Imaging and Simulation Technologies in Biomedicine, University of Sheffield, UK. PP is with Department Structural Engineering & Geotechnics, Sapienza, Università di Roma, Italy. LT is with Dept. Mathematics & Physics, Roma Tre University, Italy. MT, MA and JD are with the Department of Cardiovascular Sciences, KU Leuven, Belgium. PC is with the Department of Electrical Engineering-ESAT, KU Leuven, Belgium. MT and MA are also with the Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy. JE and MW are with the Institute of Medical Informatics, University of Lübeck, Lübeck, Germany. DS is with the University of Applied Sciences Wedel, Wedel, Germany. NP and AL are with the Department of Electrical Engineering and Biomedical Engineering, Yale University, New Haven, CT, USA. M-MR, ND, MS and XP are with the Inria Sophia-Antipolis, Asclepios Research Group, France
| | - Pierre Ablin
- AS, XZ, BRC, AAY and PM-G are with the Department of Anatomy and Medical Imaging, Auckland, New Zealand. WB and DR are with Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK. AM is with Zuse Institute Berlin, Germany. IO and SAT are with IMT Institute for Advanced Studies Lucca, Italy. SAT is also with the University of Edinburgh, UK. JA and VG are with the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford. PA and KS are with School of Computer Science and Centre for Intelligent Machines, McGill University. KL, MP, and XA are with Department of Information and Communication Technologies, Universitat Pompeu Fabra Barcelona, Spain. SÇ, AG, CP and AFF are with the Center for Computational Imaging and Simulation Technologies in Biomedicine, University of Sheffield, UK. PP is with Department Structural Engineering & Geotechnics, Sapienza, Università di Roma, Italy. LT is with Dept. Mathematics & Physics, Roma Tre University, Italy. MT, MA and JD are with the Department of Cardiovascular Sciences, KU Leuven, Belgium. PC is with the Department of Electrical Engineering-ESAT, KU Leuven, Belgium. MT and MA are also with the Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy. JE and MW are with the Institute of Medical Informatics, University of Lübeck, Lübeck, Germany. DS is with the University of Applied Sciences Wedel, Wedel, Germany. NP and AL are with the Department of Electrical Engineering and Biomedical Engineering, Yale University, New Haven, CT, USA. M-MR, ND, MS and XP are with the Inria Sophia-Antipolis, Asclepios Research Group, France
| | - Xènia Albà
- AS, XZ, BRC, AAY and PM-G are with the Department of Anatomy and Medical Imaging, Auckland, New Zealand. WB and DR are with Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK. AM is with Zuse Institute Berlin, Germany. IO and SAT are with IMT Institute for Advanced Studies Lucca, Italy. SAT is also with the University of Edinburgh, UK. JA and VG are with the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford. PA and KS are with School of Computer Science and Centre for Intelligent Machines, McGill University. KL, MP, and XA are with Department of Information and Communication Technologies, Universitat Pompeu Fabra Barcelona, Spain. SÇ, AG, CP and AFF are with the Center for Computational Imaging and Simulation Technologies in Biomedicine, University of Sheffield, UK. PP is with Department Structural Engineering & Geotechnics, Sapienza, Università di Roma, Italy. LT is with Dept. Mathematics & Physics, Roma Tre University, Italy. MT, MA and JD are with the Department of Cardiovascular Sciences, KU Leuven, Belgium. PC is with the Department of Electrical Engineering-ESAT, KU Leuven, Belgium. MT and MA are also with the Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy. JE and MW are with the Institute of Medical Informatics, University of Lübeck, Lübeck, Germany. DS is with the University of Applied Sciences Wedel, Wedel, Germany. NP and AL are with the Department of Electrical Engineering and Biomedical Engineering, Yale University, New Haven, CT, USA. M-MR, ND, MS and XP are with the Inria Sophia-Antipolis, Asclepios Research Group, France
| | - Martino Alessandrini
- AS, XZ, BRC, AAY and PM-G are with the Department of Anatomy and Medical Imaging, Auckland, New Zealand. WB and DR are with Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK. AM is with Zuse Institute Berlin, Germany. IO and SAT are with IMT Institute for Advanced Studies Lucca, Italy. SAT is also with the University of Edinburgh, UK. JA and VG are with the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford. PA and KS are with School of Computer Science and Centre for Intelligent Machines, McGill University. KL, MP, and XA are with Department of Information and Communication Technologies, Universitat Pompeu Fabra Barcelona, Spain. SÇ, AG, CP and AFF are with the Center for Computational Imaging and Simulation Technologies in Biomedicine, University of Sheffield, UK. PP is with Department Structural Engineering & Geotechnics, Sapienza, Università di Roma, Italy. LT is with Dept. Mathematics & Physics, Roma Tre University, Italy. MT, MA and JD are with the Department of Cardiovascular Sciences, KU Leuven, Belgium. PC is with the Department of Electrical Engineering-ESAT, KU Leuven, Belgium. MT and MA are also with the Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy. JE and MW are with the Institute of Medical Informatics, University of Lübeck, Lübeck, Germany. DS is with the University of Applied Sciences Wedel, Wedel, Germany. NP and AL are with the Department of Electrical Engineering and Biomedical Engineering, Yale University, New Haven, CT, USA. M-MR, ND, MS and XP are with the Inria Sophia-Antipolis, Asclepios Research Group, France
| | - Jack Allen
- AS, XZ, BRC, AAY and PM-G are with the Department of Anatomy and Medical Imaging, Auckland, New Zealand. WB and DR are with Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK. AM is with Zuse Institute Berlin, Germany. IO and SAT are with IMT Institute for Advanced Studies Lucca, Italy. SAT is also with the University of Edinburgh, UK. JA and VG are with the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford. PA and KS are with School of Computer Science and Centre for Intelligent Machines, McGill University. KL, MP, and XA are with Department of Information and Communication Technologies, Universitat Pompeu Fabra Barcelona, Spain. SÇ, AG, CP and AFF are with the Center for Computational Imaging and Simulation Technologies in Biomedicine, University of Sheffield, UK. PP is with Department Structural Engineering & Geotechnics, Sapienza, Università di Roma, Italy. LT is with Dept. Mathematics & Physics, Roma Tre University, Italy. MT, MA and JD are with the Department of Cardiovascular Sciences, KU Leuven, Belgium. PC is with the Department of Electrical Engineering-ESAT, KU Leuven, Belgium. MT and MA are also with the Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy. JE and MW are with the Institute of Medical Informatics, University of Lübeck, Lübeck, Germany. DS is with the University of Applied Sciences Wedel, Wedel, Germany. NP and AL are with the Department of Electrical Engineering and Biomedical Engineering, Yale University, New Haven, CT, USA. M-MR, ND, MS and XP are with the Inria Sophia-Antipolis, Asclepios Research Group, France
| | - Wenjia Bai
- AS, XZ, BRC, AAY and PM-G are with the Department of Anatomy and Medical Imaging, Auckland, New Zealand. WB and DR are with Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK. AM is with Zuse Institute Berlin, Germany. IO and SAT are with IMT Institute for Advanced Studies Lucca, Italy. SAT is also with the University of Edinburgh, UK. JA and VG are with the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford. PA and KS are with School of Computer Science and Centre for Intelligent Machines, McGill University. KL, MP, and XA are with Department of Information and Communication Technologies, Universitat Pompeu Fabra Barcelona, Spain. SÇ, AG, CP and AFF are with the Center for Computational Imaging and Simulation Technologies in Biomedicine, University of Sheffield, UK. PP is with Department Structural Engineering & Geotechnics, Sapienza, Università di Roma, Italy. LT is with Dept. Mathematics & Physics, Roma Tre University, Italy. MT, MA and JD are with the Department of Cardiovascular Sciences, KU Leuven, Belgium. PC is with the Department of Electrical Engineering-ESAT, KU Leuven, Belgium. MT and MA are also with the Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy. JE and MW are with the Institute of Medical Informatics, University of Lübeck, Lübeck, Germany. DS is with the University of Applied Sciences Wedel, Wedel, Germany. NP and AL are with the Department of Electrical Engineering and Biomedical Engineering, Yale University, New Haven, CT, USA. M-MR, ND, MS and XP are with the Inria Sophia-Antipolis, Asclepios Research Group, France
| | - Serkan Çimen
- AS, XZ, BRC, AAY and PM-G are with the Department of Anatomy and Medical Imaging, Auckland, New Zealand. WB and DR are with Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK. AM is with Zuse Institute Berlin, Germany. IO and SAT are with IMT Institute for Advanced Studies Lucca, Italy. SAT is also with the University of Edinburgh, UK. JA and VG are with the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford. PA and KS are with School of Computer Science and Centre for Intelligent Machines, McGill University. KL, MP, and XA are with Department of Information and Communication Technologies, Universitat Pompeu Fabra Barcelona, Spain. SÇ, AG, CP and AFF are with the Center for Computational Imaging and Simulation Technologies in Biomedicine, University of Sheffield, UK. PP is with Department Structural Engineering & Geotechnics, Sapienza, Università di Roma, Italy. LT is with Dept. Mathematics & Physics, Roma Tre University, Italy. MT, MA and JD are with the Department of Cardiovascular Sciences, KU Leuven, Belgium. PC is with the Department of Electrical Engineering-ESAT, KU Leuven, Belgium. MT and MA are also with the Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy. JE and MW are with the Institute of Medical Informatics, University of Lübeck, Lübeck, Germany. DS is with the University of Applied Sciences Wedel, Wedel, Germany. NP and AL are with the Department of Electrical Engineering and Biomedical Engineering, Yale University, New Haven, CT, USA. M-MR, ND, MS and XP are with the Inria Sophia-Antipolis, Asclepios Research Group, France
| | - Peter Claes
- AS, XZ, BRC, AAY and PM-G are with the Department of Anatomy and Medical Imaging, Auckland, New Zealand. WB and DR are with Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK. AM is with Zuse Institute Berlin, Germany. IO and SAT are with IMT Institute for Advanced Studies Lucca, Italy. SAT is also with the University of Edinburgh, UK. JA and VG are with the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford. PA and KS are with School of Computer Science and Centre for Intelligent Machines, McGill University. KL, MP, and XA are with Department of Information and Communication Technologies, Universitat Pompeu Fabra Barcelona, Spain. SÇ, AG, CP and AFF are with the Center for Computational Imaging and Simulation Technologies in Biomedicine, University of Sheffield, UK. PP is with Department Structural Engineering & Geotechnics, Sapienza, Università di Roma, Italy. LT is with Dept. Mathematics & Physics, Roma Tre University, Italy. MT, MA and JD are with the Department of Cardiovascular Sciences, KU Leuven, Belgium. PC is with the Department of Electrical Engineering-ESAT, KU Leuven, Belgium. MT and MA are also with the Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy. JE and MW are with the Institute of Medical Informatics, University of Lübeck, Lübeck, Germany. DS is with the University of Applied Sciences Wedel, Wedel, Germany. NP and AL are with the Department of Electrical Engineering and Biomedical Engineering, Yale University, New Haven, CT, USA. M-MR, ND, MS and XP are with the Inria Sophia-Antipolis, Asclepios Research Group, France
| | - Brett R. Cowan
- AS, XZ, BRC, AAY and PM-G are with the Department of Anatomy and Medical Imaging, Auckland, New Zealand. WB and DR are with Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK. AM is with Zuse Institute Berlin, Germany. IO and SAT are with IMT Institute for Advanced Studies Lucca, Italy. SAT is also with the University of Edinburgh, UK. JA and VG are with the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford. PA and KS are with School of Computer Science and Centre for Intelligent Machines, McGill University. KL, MP, and XA are with Department of Information and Communication Technologies, Universitat Pompeu Fabra Barcelona, Spain. SÇ, AG, CP and AFF are with the Center for Computational Imaging and Simulation Technologies in Biomedicine, University of Sheffield, UK. PP is with Department Structural Engineering & Geotechnics, Sapienza, Università di Roma, Italy. LT is with Dept. Mathematics & Physics, Roma Tre University, Italy. MT, MA and JD are with the Department of Cardiovascular Sciences, KU Leuven, Belgium. PC is with the Department of Electrical Engineering-ESAT, KU Leuven, Belgium. MT and MA are also with the Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy. JE and MW are with the Institute of Medical Informatics, University of Lübeck, Lübeck, Germany. DS is with the University of Applied Sciences Wedel, Wedel, Germany. NP and AL are with the Department of Electrical Engineering and Biomedical Engineering, Yale University, New Haven, CT, USA. M-MR, ND, MS and XP are with the Inria Sophia-Antipolis, Asclepios Research Group, France
| | - Jan D’hooge
- AS, XZ, BRC, AAY and PM-G are with the Department of Anatomy and Medical Imaging, Auckland, New Zealand. WB and DR are with Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK. AM is with Zuse Institute Berlin, Germany. IO and SAT are with IMT Institute for Advanced Studies Lucca, Italy. SAT is also with the University of Edinburgh, UK. JA and VG are with the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford. PA and KS are with School of Computer Science and Centre for Intelligent Machines, McGill University. KL, MP, and XA are with Department of Information and Communication Technologies, Universitat Pompeu Fabra Barcelona, Spain. SÇ, AG, CP and AFF are with the Center for Computational Imaging and Simulation Technologies in Biomedicine, University of Sheffield, UK. PP is with Department Structural Engineering & Geotechnics, Sapienza, Università di Roma, Italy. LT is with Dept. Mathematics & Physics, Roma Tre University, Italy. MT, MA and JD are with the Department of Cardiovascular Sciences, KU Leuven, Belgium. PC is with the Department of Electrical Engineering-ESAT, KU Leuven, Belgium. MT and MA are also with the Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy. JE and MW are with the Institute of Medical Informatics, University of Lübeck, Lübeck, Germany. DS is with the University of Applied Sciences Wedel, Wedel, Germany. NP and AL are with the Department of Electrical Engineering and Biomedical Engineering, Yale University, New Haven, CT, USA. M-MR, ND, MS and XP are with the Inria Sophia-Antipolis, Asclepios Research Group, France
| | - Nicolas Duchateau
- AS, XZ, BRC, AAY and PM-G are with the Department of Anatomy and Medical Imaging, Auckland, New Zealand. WB and DR are with Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK. AM is with Zuse Institute Berlin, Germany. IO and SAT are with IMT Institute for Advanced Studies Lucca, Italy. SAT is also with the University of Edinburgh, UK. JA and VG are with the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford. PA and KS are with School of Computer Science and Centre for Intelligent Machines, McGill University. KL, MP, and XA are with Department of Information and Communication Technologies, Universitat Pompeu Fabra Barcelona, Spain. SÇ, AG, CP and AFF are with the Center for Computational Imaging and Simulation Technologies in Biomedicine, University of Sheffield, UK. PP is with Department Structural Engineering & Geotechnics, Sapienza, Università di Roma, Italy. LT is with Dept. Mathematics & Physics, Roma Tre University, Italy. MT, MA and JD are with the Department of Cardiovascular Sciences, KU Leuven, Belgium. PC is with the Department of Electrical Engineering-ESAT, KU Leuven, Belgium. MT and MA are also with the Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy. JE and MW are with the Institute of Medical Informatics, University of Lübeck, Lübeck, Germany. DS is with the University of Applied Sciences Wedel, Wedel, Germany. NP and AL are with the Department of Electrical Engineering and Biomedical Engineering, Yale University, New Haven, CT, USA. M-MR, ND, MS and XP are with the Inria Sophia-Antipolis, Asclepios Research Group, France
| | - Jan Ehrhardt
- AS, XZ, BRC, AAY and PM-G are with the Department of Anatomy and Medical Imaging, Auckland, New Zealand. WB and DR are with Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK. AM is with Zuse Institute Berlin, Germany. IO and SAT are with IMT Institute for Advanced Studies Lucca, Italy. SAT is also with the University of Edinburgh, UK. JA and VG are with the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford. PA and KS are with School of Computer Science and Centre for Intelligent Machines, McGill University. KL, MP, and XA are with Department of Information and Communication Technologies, Universitat Pompeu Fabra Barcelona, Spain. SÇ, AG, CP and AFF are with the Center for Computational Imaging and Simulation Technologies in Biomedicine, University of Sheffield, UK. PP is with Department Structural Engineering & Geotechnics, Sapienza, Università di Roma, Italy. LT is with Dept. Mathematics & Physics, Roma Tre University, Italy. MT, MA and JD are with the Department of Cardiovascular Sciences, KU Leuven, Belgium. PC is with the Department of Electrical Engineering-ESAT, KU Leuven, Belgium. MT and MA are also with the Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy. JE and MW are with the Institute of Medical Informatics, University of Lübeck, Lübeck, Germany. DS is with the University of Applied Sciences Wedel, Wedel, Germany. NP and AL are with the Department of Electrical Engineering and Biomedical Engineering, Yale University, New Haven, CT, USA. M-MR, ND, MS and XP are with the Inria Sophia-Antipolis, Asclepios Research Group, France
| | - Alejandro F. Frangi
- AS, XZ, BRC, AAY and PM-G are with the Department of Anatomy and Medical Imaging, Auckland, New Zealand. WB and DR are with Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK. AM is with Zuse Institute Berlin, Germany. IO and SAT are with IMT Institute for Advanced Studies Lucca, Italy. SAT is also with the University of Edinburgh, UK. JA and VG are with the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford. PA and KS are with School of Computer Science and Centre for Intelligent Machines, McGill University. KL, MP, and XA are with Department of Information and Communication Technologies, Universitat Pompeu Fabra Barcelona, Spain. SÇ, AG, CP and AFF are with the Center for Computational Imaging and Simulation Technologies in Biomedicine, University of Sheffield, UK. PP is with Department Structural Engineering & Geotechnics, Sapienza, Università di Roma, Italy. LT is with Dept. Mathematics & Physics, Roma Tre University, Italy. MT, MA and JD are with the Department of Cardiovascular Sciences, KU Leuven, Belgium. PC is with the Department of Electrical Engineering-ESAT, KU Leuven, Belgium. MT and MA are also with the Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy. JE and MW are with the Institute of Medical Informatics, University of Lübeck, Lübeck, Germany. DS is with the University of Applied Sciences Wedel, Wedel, Germany. NP and AL are with the Department of Electrical Engineering and Biomedical Engineering, Yale University, New Haven, CT, USA. M-MR, ND, MS and XP are with the Inria Sophia-Antipolis, Asclepios Research Group, France
| | - Ali Gooya
- AS, XZ, BRC, AAY and PM-G are with the Department of Anatomy and Medical Imaging, Auckland, New Zealand. WB and DR are with Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK. AM is with Zuse Institute Berlin, Germany. IO and SAT are with IMT Institute for Advanced Studies Lucca, Italy. SAT is also with the University of Edinburgh, UK. JA and VG are with the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford. PA and KS are with School of Computer Science and Centre for Intelligent Machines, McGill University. KL, MP, and XA are with Department of Information and Communication Technologies, Universitat Pompeu Fabra Barcelona, Spain. SÇ, AG, CP and AFF are with the Center for Computational Imaging and Simulation Technologies in Biomedicine, University of Sheffield, UK. PP is with Department Structural Engineering & Geotechnics, Sapienza, Università di Roma, Italy. LT is with Dept. Mathematics & Physics, Roma Tre University, Italy. MT, MA and JD are with the Department of Cardiovascular Sciences, KU Leuven, Belgium. PC is with the Department of Electrical Engineering-ESAT, KU Leuven, Belgium. MT and MA are also with the Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy. JE and MW are with the Institute of Medical Informatics, University of Lübeck, Lübeck, Germany. DS is with the University of Applied Sciences Wedel, Wedel, Germany. NP and AL are with the Department of Electrical Engineering and Biomedical Engineering, Yale University, New Haven, CT, USA. M-MR, ND, MS and XP are with the Inria Sophia-Antipolis, Asclepios Research Group, France
| | - Vicente Grau
- AS, XZ, BRC, AAY and PM-G are with the Department of Anatomy and Medical Imaging, Auckland, New Zealand. WB and DR are with Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK. AM is with Zuse Institute Berlin, Germany. IO and SAT are with IMT Institute for Advanced Studies Lucca, Italy. SAT is also with the University of Edinburgh, UK. JA and VG are with the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford. PA and KS are with School of Computer Science and Centre for Intelligent Machines, McGill University. KL, MP, and XA are with Department of Information and Communication Technologies, Universitat Pompeu Fabra Barcelona, Spain. SÇ, AG, CP and AFF are with the Center for Computational Imaging and Simulation Technologies in Biomedicine, University of Sheffield, UK. PP is with Department Structural Engineering & Geotechnics, Sapienza, Università di Roma, Italy. LT is with Dept. Mathematics & Physics, Roma Tre University, Italy. MT, MA and JD are with the Department of Cardiovascular Sciences, KU Leuven, Belgium. PC is with the Department of Electrical Engineering-ESAT, KU Leuven, Belgium. MT and MA are also with the Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy. JE and MW are with the Institute of Medical Informatics, University of Lübeck, Lübeck, Germany. DS is with the University of Applied Sciences Wedel, Wedel, Germany. NP and AL are with the Department of Electrical Engineering and Biomedical Engineering, Yale University, New Haven, CT, USA. M-MR, ND, MS and XP are with the Inria Sophia-Antipolis, Asclepios Research Group, France
| | - Karim Lekadir
- AS, XZ, BRC, AAY and PM-G are with the Department of Anatomy and Medical Imaging, Auckland, New Zealand. WB and DR are with Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK. AM is with Zuse Institute Berlin, Germany. IO and SAT are with IMT Institute for Advanced Studies Lucca, Italy. SAT is also with the University of Edinburgh, UK. JA and VG are with the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford. PA and KS are with School of Computer Science and Centre for Intelligent Machines, McGill University. KL, MP, and XA are with Department of Information and Communication Technologies, Universitat Pompeu Fabra Barcelona, Spain. SÇ, AG, CP and AFF are with the Center for Computational Imaging and Simulation Technologies in Biomedicine, University of Sheffield, UK. PP is with Department Structural Engineering & Geotechnics, Sapienza, Università di Roma, Italy. LT is with Dept. Mathematics & Physics, Roma Tre University, Italy. MT, MA and JD are with the Department of Cardiovascular Sciences, KU Leuven, Belgium. PC is with the Department of Electrical Engineering-ESAT, KU Leuven, Belgium. MT and MA are also with the Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy. JE and MW are with the Institute of Medical Informatics, University of Lübeck, Lübeck, Germany. DS is with the University of Applied Sciences Wedel, Wedel, Germany. NP and AL are with the Department of Electrical Engineering and Biomedical Engineering, Yale University, New Haven, CT, USA. M-MR, ND, MS and XP are with the Inria Sophia-Antipolis, Asclepios Research Group, France
| | - Allen Lu
- AS, XZ, BRC, AAY and PM-G are with the Department of Anatomy and Medical Imaging, Auckland, New Zealand. WB and DR are with Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK. AM is with Zuse Institute Berlin, Germany. IO and SAT are with IMT Institute for Advanced Studies Lucca, Italy. SAT is also with the University of Edinburgh, UK. JA and VG are with the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford. PA and KS are with School of Computer Science and Centre for Intelligent Machines, McGill University. KL, MP, and XA are with Department of Information and Communication Technologies, Universitat Pompeu Fabra Barcelona, Spain. SÇ, AG, CP and AFF are with the Center for Computational Imaging and Simulation Technologies in Biomedicine, University of Sheffield, UK. PP is with Department Structural Engineering & Geotechnics, Sapienza, Università di Roma, Italy. LT is with Dept. Mathematics & Physics, Roma Tre University, Italy. MT, MA and JD are with the Department of Cardiovascular Sciences, KU Leuven, Belgium. PC is with the Department of Electrical Engineering-ESAT, KU Leuven, Belgium. MT and MA are also with the Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy. JE and MW are with the Institute of Medical Informatics, University of Lübeck, Lübeck, Germany. DS is with the University of Applied Sciences Wedel, Wedel, Germany. NP and AL are with the Department of Electrical Engineering and Biomedical Engineering, Yale University, New Haven, CT, USA. M-MR, ND, MS and XP are with the Inria Sophia-Antipolis, Asclepios Research Group, France
| | - Anirban Mukhopadhyay
- AS, XZ, BRC, AAY and PM-G are with the Department of Anatomy and Medical Imaging, Auckland, New Zealand. WB and DR are with Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK. AM is with Zuse Institute Berlin, Germany. IO and SAT are with IMT Institute for Advanced Studies Lucca, Italy. SAT is also with the University of Edinburgh, UK. JA and VG are with the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford. PA and KS are with School of Computer Science and Centre for Intelligent Machines, McGill University. KL, MP, and XA are with Department of Information and Communication Technologies, Universitat Pompeu Fabra Barcelona, Spain. SÇ, AG, CP and AFF are with the Center for Computational Imaging and Simulation Technologies in Biomedicine, University of Sheffield, UK. PP is with Department Structural Engineering & Geotechnics, Sapienza, Università di Roma, Italy. LT is with Dept. Mathematics & Physics, Roma Tre University, Italy. MT, MA and JD are with the Department of Cardiovascular Sciences, KU Leuven, Belgium. PC is with the Department of Electrical Engineering-ESAT, KU Leuven, Belgium. MT and MA are also with the Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy. JE and MW are with the Institute of Medical Informatics, University of Lübeck, Lübeck, Germany. DS is with the University of Applied Sciences Wedel, Wedel, Germany. NP and AL are with the Department of Electrical Engineering and Biomedical Engineering, Yale University, New Haven, CT, USA. M-MR, ND, MS and XP are with the Inria Sophia-Antipolis, Asclepios Research Group, France
| | - Ilkay Oksuz
- AS, XZ, BRC, AAY and PM-G are with the Department of Anatomy and Medical Imaging, Auckland, New Zealand. WB and DR are with Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK. AM is with Zuse Institute Berlin, Germany. IO and SAT are with IMT Institute for Advanced Studies Lucca, Italy. SAT is also with the University of Edinburgh, UK. JA and VG are with the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford. PA and KS are with School of Computer Science and Centre for Intelligent Machines, McGill University. KL, MP, and XA are with Department of Information and Communication Technologies, Universitat Pompeu Fabra Barcelona, Spain. SÇ, AG, CP and AFF are with the Center for Computational Imaging and Simulation Technologies in Biomedicine, University of Sheffield, UK. PP is with Department Structural Engineering & Geotechnics, Sapienza, Università di Roma, Italy. LT is with Dept. Mathematics & Physics, Roma Tre University, Italy. MT, MA and JD are with the Department of Cardiovascular Sciences, KU Leuven, Belgium. PC is with the Department of Electrical Engineering-ESAT, KU Leuven, Belgium. MT and MA are also with the Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy. JE and MW are with the Institute of Medical Informatics, University of Lübeck, Lübeck, Germany. DS is with the University of Applied Sciences Wedel, Wedel, Germany. NP and AL are with the Department of Electrical Engineering and Biomedical Engineering, Yale University, New Haven, CT, USA. M-MR, ND, MS and XP are with the Inria Sophia-Antipolis, Asclepios Research Group, France
| | - Nripesh Parajuli
- AS, XZ, BRC, AAY and PM-G are with the Department of Anatomy and Medical Imaging, Auckland, New Zealand. WB and DR are with Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK. AM is with Zuse Institute Berlin, Germany. IO and SAT are with IMT Institute for Advanced Studies Lucca, Italy. SAT is also with the University of Edinburgh, UK. JA and VG are with the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford. PA and KS are with School of Computer Science and Centre for Intelligent Machines, McGill University. KL, MP, and XA are with Department of Information and Communication Technologies, Universitat Pompeu Fabra Barcelona, Spain. SÇ, AG, CP and AFF are with the Center for Computational Imaging and Simulation Technologies in Biomedicine, University of Sheffield, UK. PP is with Department Structural Engineering & Geotechnics, Sapienza, Università di Roma, Italy. LT is with Dept. Mathematics & Physics, Roma Tre University, Italy. MT, MA and JD are with the Department of Cardiovascular Sciences, KU Leuven, Belgium. PC is with the Department of Electrical Engineering-ESAT, KU Leuven, Belgium. MT and MA are also with the Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy. JE and MW are with the Institute of Medical Informatics, University of Lübeck, Lübeck, Germany. DS is with the University of Applied Sciences Wedel, Wedel, Germany. NP and AL are with the Department of Electrical Engineering and Biomedical Engineering, Yale University, New Haven, CT, USA. M-MR, ND, MS and XP are with the Inria Sophia-Antipolis, Asclepios Research Group, France
| | - Xavier Pennec
- AS, XZ, BRC, AAY and PM-G are with the Department of Anatomy and Medical Imaging, Auckland, New Zealand. WB and DR are with Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK. AM is with Zuse Institute Berlin, Germany. IO and SAT are with IMT Institute for Advanced Studies Lucca, Italy. SAT is also with the University of Edinburgh, UK. JA and VG are with the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford. PA and KS are with School of Computer Science and Centre for Intelligent Machines, McGill University. KL, MP, and XA are with Department of Information and Communication Technologies, Universitat Pompeu Fabra Barcelona, Spain. SÇ, AG, CP and AFF are with the Center for Computational Imaging and Simulation Technologies in Biomedicine, University of Sheffield, UK. PP is with Department Structural Engineering & Geotechnics, Sapienza, Università di Roma, Italy. LT is with Dept. Mathematics & Physics, Roma Tre University, Italy. MT, MA and JD are with the Department of Cardiovascular Sciences, KU Leuven, Belgium. PC is with the Department of Electrical Engineering-ESAT, KU Leuven, Belgium. MT and MA are also with the Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy. JE and MW are with the Institute of Medical Informatics, University of Lübeck, Lübeck, Germany. DS is with the University of Applied Sciences Wedel, Wedel, Germany. NP and AL are with the Department of Electrical Engineering and Biomedical Engineering, Yale University, New Haven, CT, USA. M-MR, ND, MS and XP are with the Inria Sophia-Antipolis, Asclepios Research Group, France
| | - Marco Pereañez
- AS, XZ, BRC, AAY and PM-G are with the Department of Anatomy and Medical Imaging, Auckland, New Zealand. WB and DR are with Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK. AM is with Zuse Institute Berlin, Germany. IO and SAT are with IMT Institute for Advanced Studies Lucca, Italy. SAT is also with the University of Edinburgh, UK. JA and VG are with the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford. PA and KS are with School of Computer Science and Centre for Intelligent Machines, McGill University. KL, MP, and XA are with Department of Information and Communication Technologies, Universitat Pompeu Fabra Barcelona, Spain. SÇ, AG, CP and AFF are with the Center for Computational Imaging and Simulation Technologies in Biomedicine, University of Sheffield, UK. PP is with Department Structural Engineering & Geotechnics, Sapienza, Università di Roma, Italy. LT is with Dept. Mathematics & Physics, Roma Tre University, Italy. MT, MA and JD are with the Department of Cardiovascular Sciences, KU Leuven, Belgium. PC is with the Department of Electrical Engineering-ESAT, KU Leuven, Belgium. MT and MA are also with the Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy. JE and MW are with the Institute of Medical Informatics, University of Lübeck, Lübeck, Germany. DS is with the University of Applied Sciences Wedel, Wedel, Germany. NP and AL are with the Department of Electrical Engineering and Biomedical Engineering, Yale University, New Haven, CT, USA. M-MR, ND, MS and XP are with the Inria Sophia-Antipolis, Asclepios Research Group, France
| | - Catarina Pinto
- AS, XZ, BRC, AAY and PM-G are with the Department of Anatomy and Medical Imaging, Auckland, New Zealand. WB and DR are with Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK. AM is with Zuse Institute Berlin, Germany. IO and SAT are with IMT Institute for Advanced Studies Lucca, Italy. SAT is also with the University of Edinburgh, UK. JA and VG are with the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford. PA and KS are with School of Computer Science and Centre for Intelligent Machines, McGill University. KL, MP, and XA are with Department of Information and Communication Technologies, Universitat Pompeu Fabra Barcelona, Spain. SÇ, AG, CP and AFF are with the Center for Computational Imaging and Simulation Technologies in Biomedicine, University of Sheffield, UK. PP is with Department Structural Engineering & Geotechnics, Sapienza, Università di Roma, Italy. LT is with Dept. Mathematics & Physics, Roma Tre University, Italy. MT, MA and JD are with the Department of Cardiovascular Sciences, KU Leuven, Belgium. PC is with the Department of Electrical Engineering-ESAT, KU Leuven, Belgium. MT and MA are also with the Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy. JE and MW are with the Institute of Medical Informatics, University of Lübeck, Lübeck, Germany. DS is with the University of Applied Sciences Wedel, Wedel, Germany. NP and AL are with the Department of Electrical Engineering and Biomedical Engineering, Yale University, New Haven, CT, USA. M-MR, ND, MS and XP are with the Inria Sophia-Antipolis, Asclepios Research Group, France
| | - Paolo Piras
- AS, XZ, BRC, AAY and PM-G are with the Department of Anatomy and Medical Imaging, Auckland, New Zealand. WB and DR are with Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK. AM is with Zuse Institute Berlin, Germany. IO and SAT are with IMT Institute for Advanced Studies Lucca, Italy. SAT is also with the University of Edinburgh, UK. JA and VG are with the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford. PA and KS are with School of Computer Science and Centre for Intelligent Machines, McGill University. KL, MP, and XA are with Department of Information and Communication Technologies, Universitat Pompeu Fabra Barcelona, Spain. SÇ, AG, CP and AFF are with the Center for Computational Imaging and Simulation Technologies in Biomedicine, University of Sheffield, UK. PP is with Department Structural Engineering & Geotechnics, Sapienza, Università di Roma, Italy. LT is with Dept. Mathematics & Physics, Roma Tre University, Italy. MT, MA and JD are with the Department of Cardiovascular Sciences, KU Leuven, Belgium. PC is with the Department of Electrical Engineering-ESAT, KU Leuven, Belgium. MT and MA are also with the Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy. JE and MW are with the Institute of Medical Informatics, University of Lübeck, Lübeck, Germany. DS is with the University of Applied Sciences Wedel, Wedel, Germany. NP and AL are with the Department of Electrical Engineering and Biomedical Engineering, Yale University, New Haven, CT, USA. M-MR, ND, MS and XP are with the Inria Sophia-Antipolis, Asclepios Research Group, France
| | - Marc-Michel Rohé
- AS, XZ, BRC, AAY and PM-G are with the Department of Anatomy and Medical Imaging, Auckland, New Zealand. WB and DR are with Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK. AM is with Zuse Institute Berlin, Germany. IO and SAT are with IMT Institute for Advanced Studies Lucca, Italy. SAT is also with the University of Edinburgh, UK. JA and VG are with the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford. PA and KS are with School of Computer Science and Centre for Intelligent Machines, McGill University. KL, MP, and XA are with Department of Information and Communication Technologies, Universitat Pompeu Fabra Barcelona, Spain. SÇ, AG, CP and AFF are with the Center for Computational Imaging and Simulation Technologies in Biomedicine, University of Sheffield, UK. PP is with Department Structural Engineering & Geotechnics, Sapienza, Università di Roma, Italy. LT is with Dept. Mathematics & Physics, Roma Tre University, Italy. MT, MA and JD are with the Department of Cardiovascular Sciences, KU Leuven, Belgium. PC is with the Department of Electrical Engineering-ESAT, KU Leuven, Belgium. MT and MA are also with the Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy. JE and MW are with the Institute of Medical Informatics, University of Lübeck, Lübeck, Germany. DS is with the University of Applied Sciences Wedel, Wedel, Germany. NP and AL are with the Department of Electrical Engineering and Biomedical Engineering, Yale University, New Haven, CT, USA. M-MR, ND, MS and XP are with the Inria Sophia-Antipolis, Asclepios Research Group, France
| | - Daniel Rueckert
- AS, XZ, BRC, AAY and PM-G are with the Department of Anatomy and Medical Imaging, Auckland, New Zealand. WB and DR are with Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK. AM is with Zuse Institute Berlin, Germany. IO and SAT are with IMT Institute for Advanced Studies Lucca, Italy. SAT is also with the University of Edinburgh, UK. JA and VG are with the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford. PA and KS are with School of Computer Science and Centre for Intelligent Machines, McGill University. KL, MP, and XA are with Department of Information and Communication Technologies, Universitat Pompeu Fabra Barcelona, Spain. SÇ, AG, CP and AFF are with the Center for Computational Imaging and Simulation Technologies in Biomedicine, University of Sheffield, UK. PP is with Department Structural Engineering & Geotechnics, Sapienza, Università di Roma, Italy. LT is with Dept. Mathematics & Physics, Roma Tre University, Italy. MT, MA and JD are with the Department of Cardiovascular Sciences, KU Leuven, Belgium. PC is with the Department of Electrical Engineering-ESAT, KU Leuven, Belgium. MT and MA are also with the Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy. JE and MW are with the Institute of Medical Informatics, University of Lübeck, Lübeck, Germany. DS is with the University of Applied Sciences Wedel, Wedel, Germany. NP and AL are with the Department of Electrical Engineering and Biomedical Engineering, Yale University, New Haven, CT, USA. M-MR, ND, MS and XP are with the Inria Sophia-Antipolis, Asclepios Research Group, France
| | - Dennis Säring
- AS, XZ, BRC, AAY and PM-G are with the Department of Anatomy and Medical Imaging, Auckland, New Zealand. WB and DR are with Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK. AM is with Zuse Institute Berlin, Germany. IO and SAT are with IMT Institute for Advanced Studies Lucca, Italy. SAT is also with the University of Edinburgh, UK. JA and VG are with the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford. PA and KS are with School of Computer Science and Centre for Intelligent Machines, McGill University. KL, MP, and XA are with Department of Information and Communication Technologies, Universitat Pompeu Fabra Barcelona, Spain. SÇ, AG, CP and AFF are with the Center for Computational Imaging and Simulation Technologies in Biomedicine, University of Sheffield, UK. PP is with Department Structural Engineering & Geotechnics, Sapienza, Università di Roma, Italy. LT is with Dept. Mathematics & Physics, Roma Tre University, Italy. MT, MA and JD are with the Department of Cardiovascular Sciences, KU Leuven, Belgium. PC is with the Department of Electrical Engineering-ESAT, KU Leuven, Belgium. MT and MA are also with the Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy. JE and MW are with the Institute of Medical Informatics, University of Lübeck, Lübeck, Germany. DS is with the University of Applied Sciences Wedel, Wedel, Germany. NP and AL are with the Department of Electrical Engineering and Biomedical Engineering, Yale University, New Haven, CT, USA. M-MR, ND, MS and XP are with the Inria Sophia-Antipolis, Asclepios Research Group, France
| | - Maxime Sermesant
- AS, XZ, BRC, AAY and PM-G are with the Department of Anatomy and Medical Imaging, Auckland, New Zealand. WB and DR are with Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK. AM is with Zuse Institute Berlin, Germany. IO and SAT are with IMT Institute for Advanced Studies Lucca, Italy. SAT is also with the University of Edinburgh, UK. JA and VG are with the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford. PA and KS are with School of Computer Science and Centre for Intelligent Machines, McGill University. KL, MP, and XA are with Department of Information and Communication Technologies, Universitat Pompeu Fabra Barcelona, Spain. SÇ, AG, CP and AFF are with the Center for Computational Imaging and Simulation Technologies in Biomedicine, University of Sheffield, UK. PP is with Department Structural Engineering & Geotechnics, Sapienza, Università di Roma, Italy. LT is with Dept. Mathematics & Physics, Roma Tre University, Italy. MT, MA and JD are with the Department of Cardiovascular Sciences, KU Leuven, Belgium. PC is with the Department of Electrical Engineering-ESAT, KU Leuven, Belgium. MT and MA are also with the Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy. JE and MW are with the Institute of Medical Informatics, University of Lübeck, Lübeck, Germany. DS is with the University of Applied Sciences Wedel, Wedel, Germany. NP and AL are with the Department of Electrical Engineering and Biomedical Engineering, Yale University, New Haven, CT, USA. M-MR, ND, MS and XP are with the Inria Sophia-Antipolis, Asclepios Research Group, France
| | - Kaleem Siddiqi
- AS, XZ, BRC, AAY and PM-G are with the Department of Anatomy and Medical Imaging, Auckland, New Zealand. WB and DR are with Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK. AM is with Zuse Institute Berlin, Germany. IO and SAT are with IMT Institute for Advanced Studies Lucca, Italy. SAT is also with the University of Edinburgh, UK. JA and VG are with the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford. PA and KS are with School of Computer Science and Centre for Intelligent Machines, McGill University. KL, MP, and XA are with Department of Information and Communication Technologies, Universitat Pompeu Fabra Barcelona, Spain. SÇ, AG, CP and AFF are with the Center for Computational Imaging and Simulation Technologies in Biomedicine, University of Sheffield, UK. PP is with Department Structural Engineering & Geotechnics, Sapienza, Università di Roma, Italy. LT is with Dept. Mathematics & Physics, Roma Tre University, Italy. MT, MA and JD are with the Department of Cardiovascular Sciences, KU Leuven, Belgium. PC is with the Department of Electrical Engineering-ESAT, KU Leuven, Belgium. MT and MA are also with the Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy. JE and MW are with the Institute of Medical Informatics, University of Lübeck, Lübeck, Germany. DS is with the University of Applied Sciences Wedel, Wedel, Germany. NP and AL are with the Department of Electrical Engineering and Biomedical Engineering, Yale University, New Haven, CT, USA. M-MR, ND, MS and XP are with the Inria Sophia-Antipolis, Asclepios Research Group, France
| | - Mahdi Tabassian
- AS, XZ, BRC, AAY and PM-G are with the Department of Anatomy and Medical Imaging, Auckland, New Zealand. WB and DR are with Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK. AM is with Zuse Institute Berlin, Germany. IO and SAT are with IMT Institute for Advanced Studies Lucca, Italy. SAT is also with the University of Edinburgh, UK. JA and VG are with the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford. PA and KS are with School of Computer Science and Centre for Intelligent Machines, McGill University. KL, MP, and XA are with Department of Information and Communication Technologies, Universitat Pompeu Fabra Barcelona, Spain. SÇ, AG, CP and AFF are with the Center for Computational Imaging and Simulation Technologies in Biomedicine, University of Sheffield, UK. PP is with Department Structural Engineering & Geotechnics, Sapienza, Università di Roma, Italy. LT is with Dept. Mathematics & Physics, Roma Tre University, Italy. MT, MA and JD are with the Department of Cardiovascular Sciences, KU Leuven, Belgium. PC is with the Department of Electrical Engineering-ESAT, KU Leuven, Belgium. MT and MA are also with the Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy. JE and MW are with the Institute of Medical Informatics, University of Lübeck, Lübeck, Germany. DS is with the University of Applied Sciences Wedel, Wedel, Germany. NP and AL are with the Department of Electrical Engineering and Biomedical Engineering, Yale University, New Haven, CT, USA. M-MR, ND, MS and XP are with the Inria Sophia-Antipolis, Asclepios Research Group, France
| | - Luciano Teresi
- AS, XZ, BRC, AAY and PM-G are with the Department of Anatomy and Medical Imaging, Auckland, New Zealand. WB and DR are with Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK. AM is with Zuse Institute Berlin, Germany. IO and SAT are with IMT Institute for Advanced Studies Lucca, Italy. SAT is also with the University of Edinburgh, UK. JA and VG are with the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford. PA and KS are with School of Computer Science and Centre for Intelligent Machines, McGill University. KL, MP, and XA are with Department of Information and Communication Technologies, Universitat Pompeu Fabra Barcelona, Spain. SÇ, AG, CP and AFF are with the Center for Computational Imaging and Simulation Technologies in Biomedicine, University of Sheffield, UK. PP is with Department Structural Engineering & Geotechnics, Sapienza, Università di Roma, Italy. LT is with Dept. Mathematics & Physics, Roma Tre University, Italy. MT, MA and JD are with the Department of Cardiovascular Sciences, KU Leuven, Belgium. PC is with the Department of Electrical Engineering-ESAT, KU Leuven, Belgium. MT and MA are also with the Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy. JE and MW are with the Institute of Medical Informatics, University of Lübeck, Lübeck, Germany. DS is with the University of Applied Sciences Wedel, Wedel, Germany. NP and AL are with the Department of Electrical Engineering and Biomedical Engineering, Yale University, New Haven, CT, USA. M-MR, ND, MS and XP are with the Inria Sophia-Antipolis, Asclepios Research Group, France
| | - Sotirios A. Tsaftaris
- AS, XZ, BRC, AAY and PM-G are with the Department of Anatomy and Medical Imaging, Auckland, New Zealand. WB and DR are with Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK. AM is with Zuse Institute Berlin, Germany. IO and SAT are with IMT Institute for Advanced Studies Lucca, Italy. SAT is also with the University of Edinburgh, UK. JA and VG are with the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford. PA and KS are with School of Computer Science and Centre for Intelligent Machines, McGill University. KL, MP, and XA are with Department of Information and Communication Technologies, Universitat Pompeu Fabra Barcelona, Spain. SÇ, AG, CP and AFF are with the Center for Computational Imaging and Simulation Technologies in Biomedicine, University of Sheffield, UK. PP is with Department Structural Engineering & Geotechnics, Sapienza, Università di Roma, Italy. LT is with Dept. Mathematics & Physics, Roma Tre University, Italy. MT, MA and JD are with the Department of Cardiovascular Sciences, KU Leuven, Belgium. PC is with the Department of Electrical Engineering-ESAT, KU Leuven, Belgium. MT and MA are also with the Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy. JE and MW are with the Institute of Medical Informatics, University of Lübeck, Lübeck, Germany. DS is with the University of Applied Sciences Wedel, Wedel, Germany. NP and AL are with the Department of Electrical Engineering and Biomedical Engineering, Yale University, New Haven, CT, USA. M-MR, ND, MS and XP are with the Inria Sophia-Antipolis, Asclepios Research Group, France
| | - Matthias Wilms
- AS, XZ, BRC, AAY and PM-G are with the Department of Anatomy and Medical Imaging, Auckland, New Zealand. WB and DR are with Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK. AM is with Zuse Institute Berlin, Germany. IO and SAT are with IMT Institute for Advanced Studies Lucca, Italy. SAT is also with the University of Edinburgh, UK. JA and VG are with the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford. PA and KS are with School of Computer Science and Centre for Intelligent Machines, McGill University. KL, MP, and XA are with Department of Information and Communication Technologies, Universitat Pompeu Fabra Barcelona, Spain. SÇ, AG, CP and AFF are with the Center for Computational Imaging and Simulation Technologies in Biomedicine, University of Sheffield, UK. PP is with Department Structural Engineering & Geotechnics, Sapienza, Università di Roma, Italy. LT is with Dept. Mathematics & Physics, Roma Tre University, Italy. MT, MA and JD are with the Department of Cardiovascular Sciences, KU Leuven, Belgium. PC is with the Department of Electrical Engineering-ESAT, KU Leuven, Belgium. MT and MA are also with the Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy. JE and MW are with the Institute of Medical Informatics, University of Lübeck, Lübeck, Germany. DS is with the University of Applied Sciences Wedel, Wedel, Germany. NP and AL are with the Department of Electrical Engineering and Biomedical Engineering, Yale University, New Haven, CT, USA. M-MR, ND, MS and XP are with the Inria Sophia-Antipolis, Asclepios Research Group, France
| | - Alistair A. Young
- AS, XZ, BRC, AAY and PM-G are with the Department of Anatomy and Medical Imaging, Auckland, New Zealand. WB and DR are with Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK. AM is with Zuse Institute Berlin, Germany. IO and SAT are with IMT Institute for Advanced Studies Lucca, Italy. SAT is also with the University of Edinburgh, UK. JA and VG are with the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford. PA and KS are with School of Computer Science and Centre for Intelligent Machines, McGill University. KL, MP, and XA are with Department of Information and Communication Technologies, Universitat Pompeu Fabra Barcelona, Spain. SÇ, AG, CP and AFF are with the Center for Computational Imaging and Simulation Technologies in Biomedicine, University of Sheffield, UK. PP is with Department Structural Engineering & Geotechnics, Sapienza, Università di Roma, Italy. LT is with Dept. Mathematics & Physics, Roma Tre University, Italy. MT, MA and JD are with the Department of Cardiovascular Sciences, KU Leuven, Belgium. PC is with the Department of Electrical Engineering-ESAT, KU Leuven, Belgium. MT and MA are also with the Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy. JE and MW are with the Institute of Medical Informatics, University of Lübeck, Lübeck, Germany. DS is with the University of Applied Sciences Wedel, Wedel, Germany. NP and AL are with the Department of Electrical Engineering and Biomedical Engineering, Yale University, New Haven, CT, USA. M-MR, ND, MS and XP are with the Inria Sophia-Antipolis, Asclepios Research Group, France
| | - Xingyu Zhang
- AS, XZ, BRC, AAY and PM-G are with the Department of Anatomy and Medical Imaging, Auckland, New Zealand. WB and DR are with Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK. AM is with Zuse Institute Berlin, Germany. IO and SAT are with IMT Institute for Advanced Studies Lucca, Italy. SAT is also with the University of Edinburgh, UK. JA and VG are with the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford. PA and KS are with School of Computer Science and Centre for Intelligent Machines, McGill University. KL, MP, and XA are with Department of Information and Communication Technologies, Universitat Pompeu Fabra Barcelona, Spain. SÇ, AG, CP and AFF are with the Center for Computational Imaging and Simulation Technologies in Biomedicine, University of Sheffield, UK. PP is with Department Structural Engineering & Geotechnics, Sapienza, Università di Roma, Italy. LT is with Dept. Mathematics & Physics, Roma Tre University, Italy. MT, MA and JD are with the Department of Cardiovascular Sciences, KU Leuven, Belgium. PC is with the Department of Electrical Engineering-ESAT, KU Leuven, Belgium. MT and MA are also with the Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy. JE and MW are with the Institute of Medical Informatics, University of Lübeck, Lübeck, Germany. DS is with the University of Applied Sciences Wedel, Wedel, Germany. NP and AL are with the Department of Electrical Engineering and Biomedical Engineering, Yale University, New Haven, CT, USA. M-MR, ND, MS and XP are with the Inria Sophia-Antipolis, Asclepios Research Group, France
| | - Pau Medrano-Gracia
- AS, XZ, BRC, AAY and PM-G are with the Department of Anatomy and Medical Imaging, Auckland, New Zealand. WB and DR are with Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK. AM is with Zuse Institute Berlin, Germany. IO and SAT are with IMT Institute for Advanced Studies Lucca, Italy. SAT is also with the University of Edinburgh, UK. JA and VG are with the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford. PA and KS are with School of Computer Science and Centre for Intelligent Machines, McGill University. KL, MP, and XA are with Department of Information and Communication Technologies, Universitat Pompeu Fabra Barcelona, Spain. SÇ, AG, CP and AFF are with the Center for Computational Imaging and Simulation Technologies in Biomedicine, University of Sheffield, UK. PP is with Department Structural Engineering & Geotechnics, Sapienza, Università di Roma, Italy. LT is with Dept. Mathematics & Physics, Roma Tre University, Italy. MT, MA and JD are with the Department of Cardiovascular Sciences, KU Leuven, Belgium. PC is with the Department of Electrical Engineering-ESAT, KU Leuven, Belgium. MT and MA are also with the Department of Electrical, Electronic and Information Engineering, University of Bologna, Italy. JE and MW are with the Institute of Medical Informatics, University of Lübeck, Lübeck, Germany. DS is with the University of Applied Sciences Wedel, Wedel, Germany. NP and AL are with the Department of Electrical Engineering and Biomedical Engineering, Yale University, New Haven, CT, USA. M-MR, ND, MS and XP are with the Inria Sophia-Antipolis, Asclepios Research Group, France
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Jeng GS, Zontak M, Parajuli N, Lu A, Ta K, Sinusas AJ, Duncan JS, O’Donnell M. Efficient Two-Pass 3-D Speckle Tracking for Ultrasound Imaging. IEEE Access 2018; 6:17415-17428. [PMID: 30740286 PMCID: PMC6365000 DOI: 10.1109/access.2018.2815522] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
Speckle tracking based on block matching is the most common method for multi-dimensional motion estimation in ultrasound elasticity imaging. Extension of two-dimensional (2-D) methods to three dimensions (3-D) has been problematic because of the large computational load of 3-D tracking, as well as performance issues related to the low frame (volume) rates of 3-D images. To address both of these problems, we have developed an efficient two-pass tracking method suited to cardiac elasticity imaging. PatchMatch, originally developed for image editing, has been adapted for ultrasound to provide first-pass displacement estimates. Second-pass estimation uses conventional block matching within a much smaller search region. 3-D displacements are then obtained using correlation filtering previously shown to be effective against speckle decorrelation. Both simulated and in vivo canine cardiac results demonstrate that the proposed two-pass method reduces computational cost compared to conventional 3-D exhaustive search by a factor of 10. Moreover, it outperforms one-pass tracking by a factor of about 3 in terms of root-mean-square error relative to available ground-truth displacements.
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Affiliation(s)
- Geng-Shi Jeng
- Department of Bioengineering, University of Washington, Seattle, WA 98195 USA
| | - Maria Zontak
- College of Computer and Information Science, Northeastern University, Seattle, WA 98109 USA
| | - Nripesh Parajuli
- Department of Electrical Engineering, Yale University, New Haven, CT 06520 USA
| | - Allen Lu
- Department of Biomedical Engineering, Yale University, New Haven, CT 06520 USA
| | - Kevinminh Ta
- Department of Biomedical Engineering, Yale University, New Haven, CT 06520 USA
| | - Albert J. Sinusas
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT 06520 USA
| | - James S. Duncan
- Department of Electrical Engineering, Yale University, New Haven, CT 06520 USA
- Department of Biomedical Engineering, Yale University, New Haven, CT 06520 USA
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT 06520 USA
| | - Matthew O’Donnell
- Department of Bioengineering, University of Washington, Seattle, WA 98195 USA
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Feng B, Lu J, Zhang S, Yan X, Li J, Xue P, Wang M, Lu A, Ma J, Zang L, Dong F, He Z, Yue F, Sun J, Hong X, Zheng M. Laparoscopic abdominoperineal excision with trans-abdominal individualized levator transection: interim analysis of a randomized controlled trial. Colorectal Dis 2017; 19:O246-O252. [PMID: 28477432 DOI: 10.1111/codi.13711] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2016] [Accepted: 02/24/2017] [Indexed: 02/08/2023]
Abstract
AIM Extralevator abdominoperineal excision (ELAPR) is challenging 'conventional' abdominoperineal excision (APR), yet the safety and efficacy of ELAPR is still under debate. We therefore developed a laparoscopic APR with trans-abdominal individualized levator transection (LAPR-TILT) approach and compared the outcome with a conventional laparoscopic APR (CLAPR). METHOD All eligible patients were entered a single-centre randomized controlled trial to compare CLAPR and LAPR-TILT. We assessed the first 185 patients, including operative findings, complications, histopathology and urogenital function. RESULTS Ninety-three patients in the CLAPR group and 92 patients in the APR-TILT group were included for analysis. The APR-TILT procedure took less time [137 (101-175) min vs 146 (102-187) min; P = 0.03], mainly owing to faster perineal dissection. APR-TILT resulted in a reduced rate of bowel perforation (1.1% vs 8.6%; P = 0.04), circumferential resection margin positivity (1.1% vs 10.8%; P = 0.01) and postoperative wound complications (5.4% vs 16.2%; P = 0.02) compared with the CLAPR procedure. At a median follow-up of 19 months after surgery, three patients (3.2%) in the CLAPR group had tumour recurrence while no tumour recurrence occurred in the LAPR-TILT group. Patients who underwent LAPR-TILT reported fewer urinary or sexual problems (LAPR-TILT vs CLAPR, 10.9% vs 24.7% and 17.4% vs 38.7%, respectively). CONCLUSION Compared with CLAPR, LAPR-TILT achieved better pathological results for factors that are surrogate parameters for local recurrence. LAPR-TILT could also reduce the risk of urogenital dysfunction.
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Affiliation(s)
- B Feng
- Department of Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, and Shanghai Minimally Invasive Surgery Center, Shanghai, China
| | - J Lu
- Department of Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, and Shanghai Minimally Invasive Surgery Center, Shanghai, China
| | - S Zhang
- Department of Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, and Shanghai Minimally Invasive Surgery Center, Shanghai, China
| | - X Yan
- Department of Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, and Shanghai Minimally Invasive Surgery Center, Shanghai, China
| | - J Li
- Department of Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, and Shanghai Minimally Invasive Surgery Center, Shanghai, China
| | - P Xue
- Department of Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, and Shanghai Minimally Invasive Surgery Center, Shanghai, China
| | - M Wang
- Department of Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, and Shanghai Minimally Invasive Surgery Center, Shanghai, China
| | - A Lu
- Department of Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, and Shanghai Minimally Invasive Surgery Center, Shanghai, China
| | - J Ma
- Department of Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, and Shanghai Minimally Invasive Surgery Center, Shanghai, China
| | - L Zang
- Department of Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, and Shanghai Minimally Invasive Surgery Center, Shanghai, China
| | - F Dong
- Department of Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, and Shanghai Minimally Invasive Surgery Center, Shanghai, China
| | - Z He
- Department of Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, and Shanghai Minimally Invasive Surgery Center, Shanghai, China
| | - F Yue
- Department of Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, and Shanghai Minimally Invasive Surgery Center, Shanghai, China
| | - J Sun
- Department of Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, and Shanghai Minimally Invasive Surgery Center, Shanghai, China
| | - X Hong
- Department of Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, and Shanghai Minimally Invasive Surgery Center, Shanghai, China
| | - M Zheng
- Department of Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, and Shanghai Minimally Invasive Surgery Center, Shanghai, China
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Han F, Lu A, Yuan Y, Huang W, Beerntsen BT, Huang J, Ling E. Characterization of an entomopathogenic fungi target integument protein, Bombyx mori single domain von Willebrand factor type C, in the silkworm, Bombyx mori. Insect Mol Biol 2017; 26:308-316. [PMID: 28168773 DOI: 10.1111/imb.12293] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [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: 06/06/2023]
Abstract
The insect cuticle works as the first line of defence to protect insects from pathogenic infections and water evaporation. However, the old cuticle must be shed in order to enter the next developmental stage. During each ecdysis, moulting fluids are produced and secreted into the area among the old and new cuticles. In a previous study, the protein Bombyx mori single domain von Willebrand factor type C (BmSVWC; BGIBMGA011399) was identified in the moulting fluids of Bo. mori and demonstrated to regulate ecdysis. In this study we show that in Bo. mori larvae, BmSVWC primarily locates to the integument (epidermal cells and cuticle), wing discs and head. During the moulting stage, BmSVWC is released into the moulting fluids, and is then produced again by epidermal cells after ecdysis. Fungal infection was shown to decrease the amount of BmSVWC in the cuticle, which indicates that BmSVWC is a target protein of entomopathogenic fungi. Thus, BmSVWC is mainly involved in maintaining the integrity of the integument structure, which serves to protect insects from physical damage and pathogenic infection.
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Affiliation(s)
- F Han
- College of Life Sciences, Shanghai University, Shanghai, China
- Key Laboratory of Insect Developmental and Evolutionary Biology, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - A Lu
- Key Laboratory of Insect Developmental and Evolutionary Biology, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
- Key Laboratory of Medical Reprogramming Technology, Shenzhen Second People's Hospital, First Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Y Yuan
- Key Laboratory of Insect Developmental and Evolutionary Biology, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - W Huang
- Key Laboratory of Insect Developmental and Evolutionary Biology, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - B T Beerntsen
- Veterinary Pathobiology, University of Missouri, Columbia, MO, USA
| | - J Huang
- College of Life Sciences, Shanghai University, Shanghai, China
| | - E Ling
- Key Laboratory of Insect Developmental and Evolutionary Biology, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
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Huard J, Mu X, Lu A. Evolving paradigms in clinical pharmacology and therapeutics for the treatment of Duchenne muscular dystrophy. Clin Pharmacol Ther 2016; 100:142-6. [DOI: 10.1002/cpt.379] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2015] [Accepted: 04/06/2016] [Indexed: 11/10/2022]
Affiliation(s)
- J Huard
- Department of Orthopedic Surgery, McGovern Medical School; University of Texas Health Science Center at Houston; Houston Texas USA
- Steadman Philippon Research Institute; Vail Colorado USA
- Brown Foundation Institute of Molecular Medicine; Center for Tissue Engineering and Aging Research; Houston Texas USA
| | - X Mu
- Department of Orthopedic Surgery, McGovern Medical School; University of Texas Health Science Center at Houston; Houston Texas USA
- Steadman Philippon Research Institute; Vail Colorado USA
- Brown Foundation Institute of Molecular Medicine; Center for Tissue Engineering and Aging Research; Houston Texas USA
| | - A Lu
- Department of Orthopedic Surgery, McGovern Medical School; University of Texas Health Science Center at Houston; Houston Texas USA
- Steadman Philippon Research Institute; Vail Colorado USA
- Brown Foundation Institute of Molecular Medicine; Center for Tissue Engineering and Aging Research; Houston Texas USA
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Su J, Lu A, Bryson C, Rosoff J, Honig S. 125 Initial Peyronie’s Disease Questionnaire Bother Scores do not Correlate with Degree of Penile Curvature in Patients with Peyronie’s Disease. J Sex Med 2016. [DOI: 10.1016/j.jsxm.2016.02.131] [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: 10/21/2022]
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Lu A, Fang Y, Du X, Li Y, Cai Z, Yu K, Zhao L, Wang B, Wu J, Cheng Y, Zuo Y, Jia Y, Tan F, Ding L, Lu J, Zhang L, Huang X. Efficacy, safety and pharmacokinetics of clofarabine in Chinese pediatric patients with refractory or relapsed acute lymphoblastic leukemia: a phase II, multi-center study. Blood Cancer J 2016; 6:e400. [PMID: 26918364 PMCID: PMC4771971 DOI: 10.1038/bcj.2016.8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Affiliation(s)
- A Lu
- Department of Pediatrics, Peking University People's Hospital, Beijing, China
| | - Y Fang
- Department of Phase 1 Clinical Trial, Peking University People's Hospital, Beijing, China
| | - X Du
- Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Y Li
- The First Hospital of China Medical University, Shenyang, China
| | - Z Cai
- The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - K Yu
- The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - L Zhao
- Department of Phase 1 Clinical Trial, Peking University People's Hospital, Beijing, China
| | - B Wang
- Department of Pediatrics, Peking University People's Hospital, Beijing, China
| | - J Wu
- Department of Pediatrics, Peking University People's Hospital, Beijing, China
| | - Y Cheng
- Department of Pediatrics, Peking University People's Hospital, Beijing, China
| | - Y Zuo
- Department of Pediatrics, Peking University People's Hospital, Beijing, China
| | - Y Jia
- Department of Pediatrics, Peking University People's Hospital, Beijing, China
| | - F Tan
- Betta Pharmaceuticals Co., Ltd, Hangzhou, China
| | - L Ding
- Betta Pharmaceuticals Co., Ltd, Hangzhou, China
| | - J Lu
- Institute of Hematology, Peking University People's Hospital, Beijing, China
| | - L Zhang
- Department of Pediatrics, Peking University People's Hospital, Beijing, China
| | - X Huang
- Institute of Hematology, Peking University People's Hospital, Beijing, China
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Proto JD, Tang Y, Lu A, Chen WCW, Stahl E, Poddar M, Beckman SA, Robbins PD, Nidernhofer LJ, Imbrogno K, Hannigan T, Mars WM, Wang B, Huard J. NF-κB inhibition reveals a novel role for HGF during skeletal muscle repair. Cell Death Dis 2015; 6:e1730. [PMID: 25906153 PMCID: PMC4650539 DOI: 10.1038/cddis.2015.66] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [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: 07/23/2014] [Revised: 01/08/2015] [Accepted: 02/09/2015] [Indexed: 11/10/2022]
Abstract
The transcription factor nuclear factor κB (NF-κB)/p65 is the master regulator of inflammation in Duchenne muscular dystrophy (DMD). Disease severity is reduced by NF-κB inhibition in the mdx mouse, a murine DMD model; however, therapeutic targeting of NF-κB remains problematic for patients because of its fundamental role in immunity. In this investigation, we found that the therapeutic effect of NF-κB blockade requires hepatocyte growth factor (HGF) production by myogenic cells. We found that deleting one allele of the NF-κB subunit p65 (p65+/-) improved the survival and enhanced the anti-inflammatory capacity of muscle-derived stem cells (MDSCs) following intramuscular transplantation. Factors secreted from p65+/- MDSCs in cell cultures modulated macrophage cytokine expression in an HGF-receptor-dependent manner. Indeed, we found that following genetic or pharmacologic inhibition of basal NF-κB/p65 activity, HGF gene transcription was induced in MDSCs. We investigated the role of HGF in anti-NF-κB therapy in vivo using mdx;p65+/- mice, and found that accelerated regeneration coincided with HGF upregulation in the skeletal muscle. This anti-NF-κB-mediated dystrophic phenotype was reversed by blocking de novo HGF production by myogenic cells following disease onset. HGF silencing resulted in increased inflammation and extensive necrosis of the diaphragm muscle. Proteolytic processing of matrix-associated HGF is known to activate muscle stem cells at the earliest stages of repair, but our results indicate that the production of a second pool of HGF by myogenic cells, negatively regulated by NF-κB/p65, is crucial for inflammation resolution and the completion of repair in dystrophic skeletal muscle. Our findings warrant further investigation into the potential of HGF mimetics for the treatment of DMD.
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Affiliation(s)
- J D Proto
- Department of Orthopaedic Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Y Tang
- Department of Orthopaedic Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - A Lu
- Department of Orthopaedic Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - W C W Chen
- 1] Department of Orthopaedic Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA [2] Department of Bioengineering, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - E Stahl
- Department of Orthopaedic Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - M Poddar
- 1] Department of Orthopaedic Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA [2] Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - S A Beckman
- Department of Orthopaedic Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - P D Robbins
- Department of Metabolism and Aging, The Scripps Research Institute, Jupiter, FL
| | - L J Nidernhofer
- Department of Metabolism and Aging, The Scripps Research Institute, Jupiter, FL
| | - K Imbrogno
- Department of Orthopaedic Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - T Hannigan
- Department of Orthopaedic Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - W M Mars
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - B Wang
- Department of Orthopaedic Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - J Huard
- Department of Orthopaedic Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
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Houssa M, Scalise E, van den Broek B, Lu A, Pourtois G, Afanas'ev VV, Stesmans A. Interaction of silicene and germanene with non-metallic substrates. ACTA ACUST UNITED AC 2015. [DOI: 10.1088/1742-6596/574/1/012015] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Morales H, Lu A, Kurosawa Y, Clark JF, Leach J, Weiss K, Tomsick T. Decreased infarct volume and intracranial hemorrhage associated with intra-arterial nonionic iso-osmolar contrast material in an MCA occlusion/reperfusion model. AJNR Am J Neuroradiol 2014; 35:1885-91. [PMID: 24812016 DOI: 10.3174/ajnr.a3953] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND AND PURPOSE Infarct volume and intracranial hemorrhage after reperfusion with nonionic low-osmolar and iso-osmolar iodinated IRCM has not been previously compared. We postulated that iso-osmolar and low-osmolar iodinated contrast media exert varied effects on cerebral infarct after intra-arterial injection. We compared infarct volume and hemorrhagic changes following intra-arterial infusion of iodixanol, iopamidol, or normal saline in a rat MCA occlusion/reperfusion model. MATERIALS AND METHODS Infarct was induced in 30 rats by a previously validated method of MCA suture occlusion. Reperfusion was performed after 5 hours with either iodixanol (n = 9), iopamidol (n = 12), or saline (n = 9). MR images were obtained at both 6 and 24 hours after ischemia, followed by sacrifice. Infarct volume was measured with T2WI and DWI by semiautomatic segmentation. Incidence and area of hemorrhage were measured on brain sections postmortem. RESULTS T2WI mean infarct volumes were 242 ± 89, 324 ± 70, and 345 ± 92 mm(3) at 6 hours, and 341 ± 147,470 ± 91, and 462 ± 71 mm(3) at 24 hours in the iodixanol, iopamidol, and saline groups, respectively. Differences in infarct volume among groups were significant at 6 hours (P < .03) and 24 hours (P < .05). In the iodixanol, iopamidol, and saline groups, mean areas for cortical intracranial hemorrhage were 0.8, 18.2, and 25.7 mm(2); and 28, 31, and 56.7 mm(2), respectively, for deep intracranial hemorrhage. The differences in intracranial hemorrhage area among groups were statistically significant for cortical intracranial hemorrhage (P < .01). CONCLUSIONS Intra-arterial infusion of nonionic iso-osmolar iodixanol showed reduced infarct volume and reduced cortical intracranial hemorrhage areas in comparison with nonionic low-osmolar iopamidol and saline. Our results may be relevant in the setting of intra-arterial therapy for acute stroke in humans, warranting further investigation.
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Affiliation(s)
- H Morales
- From the Departments of Radiology (H.M., J.L., T.T.)
| | - A Lu
- Neurology (A.L., Y.K., J.F.C.), University of Cincinnati, Cincinnati, Ohio
| | - Y Kurosawa
- Neurology (A.L., Y.K., J.F.C.), University of Cincinnati, Cincinnati, Ohio
| | - J F Clark
- Neurology (A.L., Y.K., J.F.C.), University of Cincinnati, Cincinnati, Ohio
| | - J Leach
- From the Departments of Radiology (H.M., J.L., T.T.)
| | - K Weiss
- Department of Radiology (K.W.), University of Mississippi, Oxford, Mississippi
| | - T Tomsick
- From the Departments of Radiology (H.M., J.L., T.T.)
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