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Miao J, Yu J, Zhao X, Chen X, Zhu C, Cao X, Huang Y, Li B, Wu Y, Chen L, Wang X. Molecular imprinting-based triple-emission ratiometric fluorescence sensor with aggregation-induced emission effect for visual detection of doxycycline. J Hazard Mater 2024; 470:134218. [PMID: 38581878 DOI: 10.1016/j.jhazmat.2024.134218] [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: 01/28/2024] [Revised: 03/20/2024] [Accepted: 04/03/2024] [Indexed: 04/08/2024]
Abstract
The development of high-performance sensors for doxycycline (DOX) detection is necessary because its residue accumulation will cause serious harm to human health and the environment. Here, a novel tri-emission ratiometric fluorescence sensor was proposed by using "post-mixing" strategy of different emissions fluorescence molecularly imprinted polymers with salicylamide as dummy template (DMIPs). BSA was chosen as assistant functional monomer, and also acted as sensitizers for the aggregation-induced emission (AIE) effect of DOX. The blue-emitting carbon dots and the red-emitting CdTe quantum dots were separately introduced into DMIPs as the response signals. Upon DOX recognition within 2 min, blue and red fluorescence of the tri-emission DMIPs sensor were quenched while green fluorescence of DOX was enhanced, resulting in a wide range of color variations observed over bluish violet-rosered-light pink-orange-yellow-green with a detection limit of 0.061 μM. The sensor possessed highly selective recognition and was successfully applied to detect DOX in complicated real samples. Moreover, with the fluorescent color collection and data processing, the smartphone-assisted visual detection of the sensors showed satisfied sensitivity with low detection limit. This work provides great potential applications for rapid and visual detection of antibiotics in complex substrates.
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Affiliation(s)
- Jiaqi Miao
- School of Pharmacy, Binzhou Medical University, Yantai 264003, China
| | - Jialuo Yu
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Shandong Key Laboratory of Coastal Environmental Processes, Research Centre for Coastal Environmental Engineering and Technology, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China; Laboratory for Marine Biology and Biotechnology,Qingdao Marine Science and Technology Center, Qingdao 266237, China
| | - Xinming Zhao
- School of Pharmacy, Binzhou Medical University, Yantai 264003, China
| | - Xinru Chen
- School of Pharmacy, Binzhou Medical University, Yantai 264003, China
| | - Congzheng Zhu
- School of Pharmacy, Binzhou Medical University, Yantai 264003, China
| | - Xin Cao
- School of Pharmacy, Binzhou Medical University, Yantai 264003, China
| | - Yan Huang
- School of Pharmacy, Binzhou Medical University, Yantai 264003, China
| | - Bowei Li
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Shandong Key Laboratory of Coastal Environmental Processes, Research Centre for Coastal Environmental Engineering and Technology, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China; Laboratory for Marine Biology and Biotechnology,Qingdao Marine Science and Technology Center, Qingdao 266237, China
| | - Yixuan Wu
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Shandong Key Laboratory of Coastal Environmental Processes, Research Centre for Coastal Environmental Engineering and Technology, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China; Laboratory for Marine Biology and Biotechnology,Qingdao Marine Science and Technology Center, Qingdao 266237, China
| | - Lingxin Chen
- School of Pharmacy, Binzhou Medical University, Yantai 264003, China; CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Shandong Key Laboratory of Coastal Environmental Processes, Research Centre for Coastal Environmental Engineering and Technology, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China; Laboratory for Marine Biology and Biotechnology,Qingdao Marine Science and Technology Center, Qingdao 266237, China.
| | - Xiaoyan Wang
- School of Pharmacy, Binzhou Medical University, Yantai 264003, China.
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Cai W, Zhu Y, Teng Z, Li D, Cong R, Chen Z, Ma X, Zhao X. Extracellular volume-based scoring system for tracking tumor progression in pancreatic cancer patients receiving intraoperative radiotherapy. Insights Imaging 2024; 15:116. [PMID: 38735009 PMCID: PMC11089023 DOI: 10.1186/s13244-024-01689-6] [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: 11/14/2023] [Accepted: 04/03/2024] [Indexed: 05/13/2024] Open
Abstract
OBJECTIVES To investigate the value of extracellular volume (ECV) derived from portal-venous phase (PVP) in predicting prognosis in locally advanced pancreatic cancer (LAPC) patients receiving intraoperative radiotherapy (IORT) with initial stable disease (SD) and to construct a risk-scoring system based on ECV and clinical-radiological features. MATERIALS AND METHODS One hundred and three patients with LAPC who received IORT demonstrating SD were enrolled and underwent multiphasic contrast-enhanced CT (CECT) before and after IORT. ECV maps were generated from unenhanced and PVP CT images. Clinical and CT imaging features were analyzed. The independent predictors of progression-free survival (PFS) determined by multivariate Cox regression model were used to construct the risk-scoring system. Time-dependent receiver operating characteristic (ROC) curve analysis and the Kaplan-Meier method were used to evaluate the predictive performance of the scoring system. RESULTS Multivariable analysis revealed that ECV, rim-enhancement, peripancreatic fat infiltration, and carbohydrate antigen 19-9 (CA19-9) response were significant predictors of PFS (all p < 0.05). Time-dependent ROC of the risk-scoring system showed a satisfactory predictive performance for disease progression with area under the curve (AUC) all above 0.70. High-risk patients (risk score ≥ 2) progress significantly faster than low-risk patients (risk score < 2) (p < 0.001). CONCLUSION ECV derived from PVP of conventional CECT was an independent predictor for progression in LAPC patients assessed as SD after IORT. The scoring system integrating ECV, radiological features, and CA19-9 response can be used as a practical tool for stratifying prognosis in these patients, assisting clinicians in developing an appropriate treatment approach. CRITICAL RELEVANCE STATEMENT The scoring system integrating ECV fraction, radiological features, and CA19-9 response can track tumor progression in patients with LAPC receiving IORT, aiding clinicians in choosing individual treatment strategies and improving their prognosis. KEY POINTS Predicting the progression of LAPC in patients receiving IORT is important. Our ECV-based scoring system can risk stratifying patients with initial SD. Appropriate prognostication can assist clinicians in developing appropriate treatment approaches.
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Affiliation(s)
- Wei Cai
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yongjian Zhu
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ze Teng
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Dengfeng Li
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Rong Cong
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhaowei Chen
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaohong Ma
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Xinming Zhao
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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Arslanov TR, Zalibekov UZ, Ashurov GG, Losanov KK, Zhao X, Dai B, Ril AI. Ratio of 4:1 between ZnGeAs 2and MnAs phases in a single composite and its impact on the structure-driven magnetoresistance. J Phys Condens Matter 2024; 36:315802. [PMID: 38657635 DOI: 10.1088/1361-648x/ad42f5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 04/24/2024] [Indexed: 04/26/2024]
Abstract
A strong influence of the lattice degree of freedom on magnetoresistance (MR) under high pressure underlies the conception of 'structure-driven' magnetoresistance (SDMR). In most magnetic or topological materials, the suppression of MR with increasing pressure is a general trend, while for some magnetic composites the MR enhances and even shows unusual behavior as a consequence of structural transition. Here we investigated the SDMR in the composite material based on the ZnGeAs2semiconductor matrix and MnAs magnetic inclusions in a phase ratio of 4:1. At ambient pressure, its magnetic and transport properties are governed by MnAs inclusions, i.e. it shows a Curie temperatureTC≈ 320 K and metallic-like conductivity. Under high pressure, the low-field room temperature MR undergoes multiple changes in the pressure range up to 7.2 GPa. The structural transition in the ZnGeAs2matrix has been found at ∼6 GPa, slightly lower than in the pure ZnGeAs2(6.2 GPa). The huge SDMR as high as 85% at 6.8 GPa and 2.5 kOe, which contains both positive and negative MR components, is accompanied by a pressure-induced metallic-like-to-semiconductor-like transition and the enhanced ferromagnetic order of MnAs inclusions. This observation offers a competing mechanism between the robust extrinsic ferromagnetism and high-pressure electronic properties of ZnGeAs2.
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Affiliation(s)
- T R Arslanov
- Amirkhanov Institute of Physics, Daghestan Federal Research Center, Russian Academy of Sciences, 367003 Makhachkala, Russia
| | - U Z Zalibekov
- Amirkhanov Institute of Physics, Daghestan Federal Research Center, Russian Academy of Sciences, 367003 Makhachkala, Russia
| | - G G Ashurov
- Amirkhanov Institute of Physics, Daghestan Federal Research Center, Russian Academy of Sciences, 367003 Makhachkala, Russia
| | - Kh Kh Losanov
- Kabardino-Balkarian State University Named After H.M. Berbekov, 360004 Nalchik, Russia
| | - X Zhao
- State Key Laboratory for Environment-Friendly Energy Materials, Southwest University of Science and Technology, Mianyang 621010, People's Republic of China
- School of Materials and Chemistry, Southwest University of Science and Technology, Mianyang 621010, People's Republic of China
| | - B Dai
- State Key Laboratory for Environment-Friendly Energy Materials, Southwest University of Science and Technology, Mianyang 621010, People's Republic of China
- School of Materials and Chemistry, Southwest University of Science and Technology, Mianyang 621010, People's Republic of China
| | - A I Ril
- Kurnakov Institute of General and Inorganic Chemistry, RAS, 119991 Moscow, Russia
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Zhao X, Ciren Y, Wu D. Gastrointestinal: A rare intra-abdominal hydatid cyst manifesting as an acute massive upper gastrointestinal bleeding. J Gastroenterol Hepatol 2024. [PMID: 38693846 DOI: 10.1111/jgh.16579] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2024] [Accepted: 04/01/2024] [Indexed: 05/03/2024]
Affiliation(s)
- X Zhao
- Department of Gastroenterology, Tibet Autonomous Region People's Hospital, Lhasa, China
- Department of Gastroenterology, Peking University People's Hospital, Beijing, China
| | - Y Ciren
- Department of Gastroenterology, Tibet Autonomous Region People's Hospital, Lhasa, China
| | - D Wu
- Department of Gastroenterology, Tibet Autonomous Region People's Hospital, Lhasa, China
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Jiang K, Cao F, Yin L, Hu Y, Zhao X, Huang X, Ma X, Li J, Lu M, Sun Y. Claudin 18.2 expression in digestive neuroendocrine neoplasms: a clinicopathological study. J Endocrinol Invest 2024; 47:1251-1260. [PMID: 38060154 DOI: 10.1007/s40618-023-02245-7] [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] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 11/09/2023] [Indexed: 12/08/2023]
Abstract
BACKGROUND Claudin 18.2-targeted therapy has shown significant efficacy in treating claudin 18.2-positive cancers. However, limited systematic studies have investigated characteristics of claudin 18.2 expression in neuroendocrine neoplasms (NENs). METHODS Data and specimens from 403 cases of digestive NENs were retrospectively collected, and claudin 18.2 expression was detected using immunochemical staining. RESULTS Claudin 18.2 was positive in 19.6% (79/403) of the digestive NENs. The highest positive rate of claudin 18.2 was observed in gastric NENs (72/259, 27.8%), accounting for 91.1% (72/79) of all positive cases. The positivity rate was significantly higher in gastric NENs compared to pancreatic (2/78, 2.6%) or colorectal NENs (2/38, 5.3%; p < 0.05). For digestive NENs, claudin 18.2 positivity was significantly higher in neuroendocrine carcinomas (NECs) (37/144, 25.7%) than in neuroendocrine tumours (NETs; 14/160, 8.8%; p < 0.001), but no significant difference was found between gastric NECs (59/213, 27.7%) and gastric NETs (13/46, 28.3%; p > 0.05). The positivity was significantly higher in large-cell NECs (LCNECs; 28/79, 35.4%) and MiNEN (mixed neuroendocrine-non- neuroendocrine neoplasms)-LCNECs (23/66, 34.8%) compared to small-cell NECs (SCNECs; 9/65, 13.8%) and MiNEN-SCNECs (5/33, 15.2%; p < 0.05). Claudin 18.2 expression was more prevalent in gastric NENs than in pancreatic (12.5 ×; p = 0.001) and colorectal NENs (5.9 ×; p = 0.021). Claudin 18.2 staining was a useful method for identify the gastric origins of NETs, with a sensitivity of 28.3% and a specificity of 99.1%. CONCLUSION The expression characteristics of claudin 18.2 in NENs were characterized, which may provide a clinicopathological reference for targeted therapies in patients with NENs.
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Affiliation(s)
- K Jiang
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Pathology, Peking University Cancer Hospital and Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - F Cao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - L Yin
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Pathology, Peking University Cancer Hospital and Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Y Hu
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Pathology, Peking University Cancer Hospital and Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - X Zhao
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Pathology, Peking University Cancer Hospital and Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - X Huang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - X Ma
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - J Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Oncology, Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - M Lu
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Gastrointestinal Oncology, Peking University Cancer Hospital and Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China.
| | - Y Sun
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Pathology, Peking University Cancer Hospital and Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China.
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Zhang X, Wang Y, Xu X, Zhang J, Sun Y, Hu M, Wang S, Li Y, Chen Y, Zhao X. Bladder MRI with deep learning-based reconstruction: a prospective evaluation of muscle invasiveness using VI-RADS. Abdom Radiol (NY) 2024; 49:1615-1625. [PMID: 38652125 DOI: 10.1007/s00261-024-04280-1] [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: 01/22/2024] [Revised: 03/03/2024] [Accepted: 03/05/2024] [Indexed: 04/25/2024]
Abstract
PURPOSE To investigate the influence of deep learning reconstruction (DLR) on bladder MRI, specifically examination time, image quality, and diagnostic performance of vesical imaging reporting and data system (VI-RADS) within a prospective clinical cohort. METHODS Seventy participants with bladder cancer who underwent MRI between August 2022 and February 2023 with a protocol containing standard T2-weighted imaging (T2WIS), standard diffusion-weighted imaging (DWIS), fast T2WI with DLR (T2WIDL), and fast DWI with DLR (DWIDL) were enrolled in this prospective study. Imaging quality was evaluated by measuring signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and qualitative image quality scoring. Additionally, the apparent diffusion coefficient (ADC) of bladder lesions derived from DWIS and DWIDL was measured and VI-RADS scoring was performed. Paired t-test or paired Wilcoxon signed-rank test were performed to compare image quality score, SNR, CNR, and ADC between standard sequences and fast sequences with DLR. The diagnostic performance for VI-RADS was assessed using the area under the receiver operating characteristic curve (AUC). RESULTS Compared to T2WIS and DWIS, T2WIDL and DWIDL reduced the acquisition time from 5:57 min to 3:13 min and showed significantly higher SNR, CNR, qualitative image quality score of overall image quality, image sharpness, and lesion conspicuity. There were no significant differences in ADC and AUC of VI-RADS between standard sequences and fast sequences with DLR. CONCLUSIONS The application of DLR to T2WI and DWI reduced examination time and significantly improved image quality, maintaining ADC and the diagnostic performance of VI-RADS for evaluating muscle invasion in bladder cancer.
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Affiliation(s)
- Xinxin Zhang
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Yichen Wang
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Xiaojuan Xu
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Jie Zhang
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Yuying Sun
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Mancang Hu
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Sicong Wang
- GE Healthcare, MR Research China, Tongji South Road No1, Beijing, 100176, China
| | - Yi Li
- School of Statistics and Mathematics, Nanjing Audit University, Nanjing, 211815, China
| | - Yan Chen
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
| | - Xinming Zhao
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
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Wang B, Zhao X, Liu Y, Zhang Z, Chen X, Jing F, Chen X, Hua Y, Zhao J. Comparison of 68Ga-FAPI-04 PET/CT with 18F-FDG PET/CT for diagnosis and staging of gastric and colorectal cancer. Nucl Med Commun 2024:00006231-990000000-00292. [PMID: 38686487 DOI: 10.1097/mnm.0000000000001845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/02/2024]
Abstract
OBJECTIVE The objective of this study is to evaluate the effectiveness of 68Ga-FAPI-04 PET/computed tomography (CT) for the diagnosis of primary and metastatic gastric cancer and colorectal cancer lesions as compared with 18F-FDG PET/CT. MATERIALS AND METHODS Fifty-nine patients who underwent both 18F-FDG and 68Ga-FAPI-04 for initial staging or restaging were enrolled. Histopathological findings and clinical imaging follow-up were used as the reference standard. The diagnostic performance and TNM staging of the two tracers were calculated and compared. The maximum standardized uptake value (SUVmax), tumour-to-mediastinal blood pool ratio (TBR) (lesions SUVmax/ascending aorta SUVmean), and tumour-to-normal liver parenchyma ratio (TLR) (lesions SUVmax/liver SUVmean) of primary and metastatic lesions between two imaging modalities were measured and compared using the Wilcoxon signed-rank test and paired t-test. RESULTS The two imaging agents are comparable for the detection of primary tumors. The sensitivity of 68Ga-FAPI-04 PET/CT was higher than that of 18F-FDG PET/CT for detecting lymph node metastases, peritoneal metastases, liver metastases, and bone metastases. In the patient-based analysis, the TLR for all lesions was significantly higher with 68Ga-FAPI-04 PET/CT than with 18F-FDG PET/CT (all P < 0.05). The accuracy (92.2 vs. 70.3%, P = 0.002) and sensitivity of 68Ga-FAPI-04 were significantly higher than that of 18F-FDG (78.6 vs. 71.4%, P = 0.011) in determining the lymph node status. 68Ga-FAPI-04 has a higher accuracy in staging (P = 0.041), which is mainly due to the ability of distant metastases detection. CONCLUSION 68Ga-FAPI-04 PET/CT may be superior in evaluating the diagnostic efficiency and staging accuracy of gastric and colorectal cancer.
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Affiliation(s)
- Bin Wang
- Hebei Provincial Key Laboratory of Tumor Microenvironment and Drug Resistance, Department of Nuclear Medicine, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
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Zhao X, Leng D, Wang H, Jin H, Wu Y, Qin Z, Wu D, Wei X. An Acid-Responsive Iron-Based Nanocomposite for OSCC Treatment. J Dent Res 2024:220345241238154. [PMID: 38684484 DOI: 10.1177/00220345241238154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/02/2024] Open
Abstract
Oral squamous cell carcinoma (OSCC) is the most common type of oral cancer, characterized by invasiveness, local lymph node metastasis, and poor prognosis. Traditional treatment and medications have limitations, making the specific inhibition of OSCC growth, invasion, and metastasis a challenge. The tumor microenvironment exhibits mildly acidity and high concentrations of H2O2, and its exploitation for cancer treatment has been widely researched across various cancers, but research in the oral cancer field is relatively limited. In this study, by loading ultra-small Prussian blue nanoparticles (USPBNPs) into mesoporous calcium-silicate nanoparticles (MCSNs), we developed an acid-responsive iron-based nanocomposite, USPBNPs@MCSNs (UPM), for the OSCC treatment. UPM demonstrated excellent dual enzyme activities, generating toxic ·OH in a mildly acidic environment, effectively killing OSCC cells and producing O2 in a neutral environment to alleviate tissue hypoxia. The results showed that UPM could effectively inhibit the proliferation, migration, and invasion of OSCC cells, as well as the growth of mice solid tumors, without obvious systemic toxicity. The mechanisms may involve UPM inducing ferroptosis of OSCC cells by downregulating the xCT/GPX4/glutathione (GSH) axis, characterized by intracellular iron accumulation, reactive oxygen species accumulation, GSH depletion, lipid peroxidation, and abnormal changes in mitochondrial morphology. Therefore, this study provides empirical support for ferroptosis as an emerging therapeutic target for OSCC and offers a valuable insight for future OSCC treatment.
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Affiliation(s)
- X Zhao
- Jiangsu Province Key Laboratory of Oral Diseases & Jiangsu Province Engineering Research Center of Stomatological Translational Medicine & Department of Endodontics, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing, China
| | - D Leng
- Jiangsu Province Key Laboratory of Oral Diseases & Jiangsu Province Engineering Research Center of Stomatological Translational Medicine & Department of Endodontics, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing, China
| | - H Wang
- Jiangsu Province Key Laboratory of Oral Diseases & Jiangsu Province Engineering Research Center of Stomatological Translational Medicine & Department of Endodontics, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing, China
| | - H Jin
- Jiangsu Province Key Laboratory of Oral Diseases & Jiangsu Province Engineering Research Center of Stomatological Translational Medicine & Department of Endodontics, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing, China
| | - Y Wu
- Jiangsu Province Key Laboratory of Oral Diseases & Jiangsu Province Engineering Research Center of Stomatological Translational Medicine & Department of Endodontics, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing, China
| | - Z Qin
- Nanjing Medical University, The First Clinical Medical College, Jiangsu Province Hospital, Nanjing, Jiangsu, China
| | - D Wu
- Jiangsu Province Key Laboratory of Oral Diseases & Jiangsu Province Engineering Research Center of Stomatological Translational Medicine & Department of Endodontics, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing, China
| | - X Wei
- Jiangsu Province Key Laboratory of Oral Diseases & Jiangsu Province Engineering Research Center of Stomatological Translational Medicine & Department of Endodontics, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing, China
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Zhang W, Cao YS, Wei MC, Xu J, Bao Z, Yan JX, Chen C, Li JY, Ban ZY, Wang BJ, Zhao X, Zhao C, Zeng XX. [Application of optical coherence tomography in the evaluation of cervical lesions: a multicenter study]. Zhonghua Fu Chan Ke Za Zhi 2024; 59:299-306. [PMID: 38644276 DOI: 10.3760/cma.j.cn112141-20240103-00006] [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: 04/23/2024]
Abstract
Objective: To explore the value of optical coherence tomography (OCT) imaging system in evaluating cervical lesions in vivo. Methods: A total of 1 214 patients with cervical lesions were collected from January 2020 to December 2021 in the Third Affiliated Hospital of Zhengzhou University, Maternal and Chlid Heaith Hospital of Gushi County, Xinyang City, Henan Province, and Maternal and Chlid Heaith Hospital of Sui County, Shangqiu City, Henan Province. The age of the patients was (38.9±10.5) years (range: 16-77 years). All patients underwent in vivo cervical OCT examination and cervical biopsy pathology examination, and summarized the OCT image features of in vivo cervical lesions. Using the pathological diagnosis as the "gold standard", the accuracy, specificity, sensitivity, positive predictive value (PPV) and negative predictive value (NPV) of OCT image interpretation results were evaluated, as well as the consistency of OCT image diagnosis and pathological diagnosis. At the same time, the in vivo cervical OCT imaging system, as a newly developed screening tool, was compared with the traditional combined screening of human papillomavirus (HPV) and Thinprep cytologic test (TCT), to assess the screening effect. Results: By comparing the OCT images of the cervix in vivo with the corresponding HE images, the OCT image characteristics of the normal cervix and various types of cervical lesions in vivo were summarized. The accuracy, sensitivity, specificity, PPV and NPV of OCT image in the diagnosis of high-grade squamous intraepithelial lesion (HSIL) and above (HSIL+) were 93.4%, 88.5%, 95.0%, 85.0% and 96.2%, respectively. The accuracy, sensitivity, specificity, PPV and NPV of OCT for low-grade squamous intraepithelial lesion (LSIL) were 84.7%, 61.7%, 96.3%, 89.3% and 83.2%, respectively. The consistency between OCT image diagnosis and pathological diagnosis was strong (Kappa value was 0.701).The accuracy, sensitivity and specificity of OCT screening, HPV and TCT combined screening were 83.7% vs 64.9% (χ²=128.82, P<0.001), 77.8% vs 64.5% (χ²=39.01, P<0.001), 91.8% vs 65.4% (χ²=98.12, P<0.001), respectively. The differences were statistically significant. Conclusions: OCT imaging system has high sensitivity and specificity in the evaluation of cervical lesions in vivo, and has the characteristics of non-invasive, real-time and high efficiency. OCT examination is expected to become an effective method for the diagnosis of cervical lesions and cervical cancer screening.
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Affiliation(s)
- W Zhang
- Department of Pathology, the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Y S Cao
- Department of Pathology, the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - M C Wei
- Department of Pathology, Maternal and Child Health Hospital of Gushi County, Xinyang City, Henan Province, Xinyang 465299, China
| | - J Xu
- Department of Pathology, Maternal and Child Health Hospital of Sui County, Shangqiu City, Henan Province, Shangqiu 476999, China
| | - Z Bao
- Department of Pathology, the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - J X Yan
- Department of Pathology, the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - C Chen
- Department of Pathology, the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - J Y Li
- Department of Pathology, the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Z Y Ban
- Department of Pathology, the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - B J Wang
- Department of Gynecology, the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - X Zhao
- Department of Medical Imaging, the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Chengquan Zhao
- Department of Pathology, University of Pittsburgh Medical Center, Pennsylvania 19019, USA
| | - X X Zeng
- Department of Pathology, the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
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Wang L, Feng B, Liang M, Li D, Cong R, Chen Z, Wang S, Ma X, Zhao X. Prognostic performance of MRI LI-RADS version 2018 features and clinical-pathological factors in alpha-fetoprotein-negative hepatocellular carcinoma. Abdom Radiol (NY) 2024:10.1007/s00261-024-04278-9. [PMID: 38642093 DOI: 10.1007/s00261-024-04278-9] [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: 12/31/2023] [Revised: 03/04/2024] [Accepted: 03/05/2024] [Indexed: 04/22/2024]
Abstract
PURPOSE To evaluate the role of the magnetic resonance imaging (MRI) Liver Imaging Reporting and Data System (LI-RADS) version 2018 features and clinical-pathological factors for predicting the prognosis of alpha-fetoprotein (AFP)-negative (≤ 20 ng/ml) hepatocellular carcinoma (HCC) patients, and to compare with other traditional staging systems. METHODS We retrospectively enrolled 169 patients with AFP-negative HCC who received preoperative MRI and hepatectomy between January 2015 and August 2020 (derivation dataset:validation dataset = 118:51). A prognostic model was constructed using the risk factors identified via Cox regression analysis. Predictive performance and discrimination capability were evaluated and compared with those of two traditional staging systems. RESULTS Six risk factors, namely the LI-RADS category, blood products in mass, microvascular invasion, tumor size, cirrhosis, and albumin-bilirubin grade, were associated with recurrence-free survival. The prognostic model constructed using these factors achieved C-index of 0.705 and 0.674 in the derivation and validation datasets, respectively. Furthermore, the model performed better in predicting patient prognosis than traditional staging systems. The model effectively stratified patients with AFP-negative HCC into high- and low-risk groups with significantly different outcomes (p < 0.05). CONCLUSION A prognostic model integrating the LI-RADS category, blood products in mass, microvascular invasion, tumor size, cirrhosis, and albumin-bilirubin grade may serve as a valuable tool for refining risk stratification in patients with AFP-negative HCC.
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Affiliation(s)
- Leyao Wang
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Bing Feng
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Meng Liang
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Dengfeng Li
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Rong Cong
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Zhaowei Chen
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Sicong Wang
- Magnetic Resonance Imaging Research, General Electric Healthcare (China), Beijing, 100176, China
| | - Xiaohong Ma
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
| | - Xinming Zhao
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
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Dong J, Zhang H, Ai X, Dong Q, Shi X, Zhao X, Zhong C, Yu H. Improving chilling tolerance of peanut seedlings by enhancing antioxidant-modulated ROS scavenging ability, alleviating photosynthetic inhibition, and mobilizing nutrient absorption. Plant Biol (Stuttg) 2024. [PMID: 38597809 DOI: 10.1111/plb.13643] [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] [Received: 11/18/2023] [Accepted: 02/21/2024] [Indexed: 04/11/2024]
Abstract
Peanut production is threatened by climate change. Damage to seedlings from low temperatures in early spring can limit yield. Plant adaptations to chilling stress remain unclear in peanut seedlings. It is essential to understand how peanut acquires chilling tolerance. We evaluated effects of chilling stress on growth and recovery of peanut seedlings. We compared and analysed biological characteristics, antioxidants, photosynthesis, biochemical and physiological responses, and nutrient absorption at varying levels of chilling. Compared with chilling-sensitive FH18, the reduced impact of chilling stress on chilling-tolerant NH5 was associated with reduced ROS accumulation, higher ascorbate peroxidase activity and soluble sugar content, lower soluble protein content, and smaller reductions in nutrient content during stress. After removal of chilling stress, FH18 had significant accumulation of O2 •- and H2O2, which decreased photosynthesis, nutrient absorption, and transport. ROS-scavenging reduced damage from chilling stress, allowed remobilization of nutrients, improved chilling tolerance, and restored plant functioning after chilling stress removal. These findings provide a reference for targeted research on peanut seedling tolerance to chilling and lay the foundation for bioinformatics-based research on peanut chilling tolerance mechanisms.
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Affiliation(s)
- J Dong
- College of Agronomy, Peanut Research Institute, Shenyang Agricultural University, Shenyang, Liaoning Province, China
| | - H Zhang
- College of Agronomy, Peanut Research Institute, Shenyang Agricultural University, Shenyang, Liaoning Province, China
| | - X Ai
- College of Agronomy, Peanut Research Institute, Shenyang Agricultural University, Shenyang, Liaoning Province, China
| | - Q Dong
- College of Agronomy, Peanut Research Institute, Shenyang Agricultural University, Shenyang, Liaoning Province, China
| | - X Shi
- College of Agronomy, Peanut Research Institute, Shenyang Agricultural University, Shenyang, Liaoning Province, China
| | - X Zhao
- College of Agronomy, Peanut Research Institute, Shenyang Agricultural University, Shenyang, Liaoning Province, China
| | - C Zhong
- College of Agronomy, Peanut Research Institute, Shenyang Agricultural University, Shenyang, Liaoning Province, China
| | - H Yu
- College of Agronomy, Peanut Research Institute, Shenyang Agricultural University, Shenyang, Liaoning Province, China
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Zhang X, Wang Y, Wang Y, Zhang J, Zhang J, Zhang L, Wang S, Shou J, Chen Y, Zhao X. MRI evaluation of vesical imaging reporting and data system for bladder cancer after neoadjuvant chemotherapy. Cancer Imaging 2024; 24:49. [PMID: 38584289 PMCID: PMC11000365 DOI: 10.1186/s40644-024-00696-6] [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: 09/19/2023] [Accepted: 03/29/2024] [Indexed: 04/09/2024] Open
Abstract
BACKGROUND The Vesical Imaging-Reporting and Data System (VI-RADS) has demonstrated effectiveness in predicting muscle invasion in bladder cancer before treatment. The urgent need currently is to evaluate the muscle invasion status after neoadjuvant chemotherapy (NAC) for bladder cancer. This study aims to ascertain the accuracy of VI-RADS in detecting muscle invasion post-NAC treatment and assess its diagnostic performance across readers with varying experience levels. METHODS In this retrospective study, patients with muscle-invasive bladder cancer who underwent magnetic resonance imaging (MRI) after NAC from September 2015 to September 2018 were included. VI-RADS scores were independently assessed by five radiologists, consisting of three experienced in bladder MRI and two inexperienced radiologists. Comparison of VI-RADS scores was made with postoperative histopathological diagnosis. Receiver operating characteristic curve analysis (ROC) was used for evaluating diagnostic performance, calculating sensitivity, specificity, and area under ROC (AUC)). Interobserver agreement was assessed using the weighted kappa statistic. RESULTS The final analysis included 46 patients (mean age: 61 years ± 9 [standard deviation]; age range: 39-70 years; 42 men). The pooled AUC for predicting muscle invasion was 0.945 (95% confidence interval (CI): 0.893-0.977) for experienced readers, and 0.910 (95% CI: 0.831-0.959) for inexperienced readers, and 0.932 (95% CI: 0.892-0.961) for all readers. At an optimal cut-off value ≥ 4, pooled sensitivity and specificity were 74.1% (range: 66.0-80.9%) and 94.1% (range: 88.6-97.7%) for experienced readers, and 63.9% (range: 59.6-68.1%) and 86.4% (range: 84.1-88.6%) for inexperienced readers. Interobserver agreement ranged from substantial to excellent between all readers (k = 0.79-0.92). CONCLUSIONS VI-RADS accurately assesses muscle invasion in bladder cancer patients after NAC and exhibits good diagnostic performance across readers with different experience levels.
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Affiliation(s)
- Xinxin Zhang
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Yichen Wang
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Yilin Wang
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Jie Zhang
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Jin Zhang
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Lianyu Zhang
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Sicong Wang
- GE Healthcare, MR Research China, Beijing, 100176, China
| | - Jianzhong Shou
- Department of Urology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
| | - Yan Chen
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
| | - Xinming Zhao
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
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Jiang X, Li T, Wang J, Zhang Z, Chen X, Zhang J, Zhao X. Noninvasive Assessment of HER2 Expression Status in Gastric Cancer Using 18F-FDG Positron Emission Tomography/Computed Tomography-Based Radiomics: A Pilot Study. Cancer Biother Radiopharm 2024; 39:169-177. [PMID: 38193811 DOI: 10.1089/cbr.2023.0162] [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] [Indexed: 01/10/2024] Open
Abstract
Purpose: Immunohistochemistry (IHC) is the main method to detect human epidermal growth factor receptor 2 (HER2) expression levels. However, IHC is invasive and cannot reflect HER2 expression status in real time. The aim of this study was to construct and verify three types of radiomics models based on 18F-fuorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) imaging and to evaluate the predictive ability of these radiomics models for the expression status of HER2 in patients with gastric cancer (GC). Patients and Methods: A total of 118 patients with GC were enrolled in this study. 18F-FDG PET/CT imaging was performed prior to surgery. The LIFEx software package was applied to extract PET and CT radiomics features. The minimum absolute contraction and selection operator (least absolute shrinkage and selection operator [LASSO]) algorithm was used to select the best radiomics features. Three machine learning methods, logistic regression (LR), support vector machine (SVM), and random forest (RF) models, were constructed and verified. The Synthetic Minority Oversampling Technique (SMOTE) was applied to address data imbalance. Results: In the training and test sets, the area under the curve (AUC) values of the LR, SVM, and RF models were 0.809, 0.761, 0.861 and 0.628, 0.993, 0.717, respectively, and the Brier scores were 0.118, 0.214, and 0.143, respectively. Among the three models, the LR and RF models exhibited extremely good prediction performance. The AUC values of the three models significantly improved after SMOTE balanced the data. Conclusions: 18F-FDG PET/CT-based radiomics models, especially LR and RF models, demonstrate good performance in predicting HER2 expression status in patients with GC and can be used to preselect patients who may benefit from HER2-targeted therapy.
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Affiliation(s)
- Xiaojing Jiang
- Department of Nuclear Medicine, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Tianyue Li
- Department of Nuclear Medicine, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Jianfang Wang
- Department of Nuclear Medicine, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Zhaoqi Zhang
- Department of Nuclear Medicine, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Xiaolin Chen
- Department of Nuclear Medicine, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Jingmian Zhang
- Department of Nuclear Medicine, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
- Hebei Provincial Key Laboratory of Tumor Microenvironment and Drug Resistance, Shijiazhuang, China
| | - Xinming Zhao
- Department of Nuclear Medicine, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
- Hebei Provincial Key Laboratory of Tumor Microenvironment and Drug Resistance, Shijiazhuang, China
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Xu Y, Yang Y, Ouyang J, Zhou Y, Li L, Ye F, Yang H, Huang Z, Zhou A, Zhang W, Zhou J, Zhao X, Zhao H. Reclassification of therapeutic response of unresectable hepatocellular carcinoma to anti-angiogenic therapy and immunotherapy using alpha RECIST. Eur Radiol 2024; 34:2244-2255. [PMID: 37740779 DOI: 10.1007/s00330-023-10222-0] [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] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 06/15/2023] [Accepted: 07/04/2023] [Indexed: 09/25/2023]
Abstract
OBJECTIVES To assess the therapeutic response of HCC to antiangiogenic therapy plus immunotherapy by integrating RECIST 1.1 and alpha-fetoprotein (AFP) response at the 6th week to predict overall survival (OS). METHODS This retrospective study included 150 and 214 patients with HCC who received combination therapy in training and validation cohorts. The medical images and AFP levels obtained at baseline and 6th week were collected. AFP response stratification: partial response (PR): AFP% ≥ 75% decline; stable disease (SD): AFP% < 75% decline and ≤ 10% elevation; progressive disease (PD): AFP% > 10% elevation. The alpha-RECIST was: PR: RECIST 1.1-PR or AFP-PR; PD: AFP-PD or RECIST 1.1-PD and does not satisfy AFP-PR; SD: neither PR nor PD. OS was compared using Kaplan-Meier curves. The predictive ability of various criteria was evaluated using the concordance index and time-dependent area under the receiver-operating characteristic curve. RESULTS RECIST 1.1 achieved significant OS stratification (p = 0.020) for AFP < 20 ng/mL. For AFP ≥ 20 ng/mL, alpha-RECIST showed better performance than RECIST 1.1, mRECIST, and AFP response according to C-index (0.73 vs 0.66 vs 0.68 vs 0.69). The National Cancer Center (NCC) strategy utilized RECIST 1.1 for AFP < 20 ng/mL and alpha-RECIST for AFP ≥ 20 ng/mL and showed better performance than RECIST 1.1, mRECIST and AFP response according to C-index (0.73 vs 0.67 vs 0.69 vs 0.64). The performances of alpha-RECIST and NCC Strategy were confirmed in the validation cohort (C-index = 0.77 and 0.74). CONCLUSIONS The alpha-RECIST and NCC Strategy achieved better survival stratification in patients with HCC under combination therapy in the AFP ≥ 20 ng/mL group and the whole cohort compared to the RECIST 1.1, mRECIST, and AFP response. CLINICAL TRANSLATIONAL RELEVANCE The alpha-RECIST and National Cancer Center strategy are optimal methods for determining therapeutic response to a combination of anti-angiogenic therapy plus immunotherapy and facilitating accurate prognostic stratification for HCC in the AFP ≥ 20 ng/mL group and the whole cohort, which may help oncologists for early identification of responders and progression at 6 weeks and clinical decision-making. KEY POINTS • RECIST 1.1 is indicated for patients with baseline alpha-fetoprotein (AFP) < 20 ng/mL. • For patients with baseline AFP ≥ 20 ng/mL, integrating RECIST 1.1 and AFP response (alpha-RECIST) may aid in the early identification of survival benefits and progression definition prior to the administration of additional efficacious drugs. • The National Cancer Center strategy is an optimal stratified strategy for determining therapeutic response to a combination of anti-angiogenic therapy and immunotherapy for HCC based on baseline AFP levels.
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Affiliation(s)
- Ying Xu
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yi Yang
- Department of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Key Laboratory of Gene Editing Screening and Research and Development (R&D) of Digestive System Tumor Drugs, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jingzhong Ouyang
- Department of Hepatobiliary and Pancreatic Surgery, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, China
| | - Yanzhao Zhou
- Department of Hepatobiliary and Pancreatic Surgery, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, China
| | - Lu Li
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Feng Ye
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Hongcai Yang
- Department of Interventional Therapy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhen Huang
- Department of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Key Laboratory of Gene Editing Screening and Research and Development (R&D) of Digestive System Tumor Drugs, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Aiping Zhou
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wen Zhang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Jinxue Zhou
- Department of Interventional Therapy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Xinming Zhao
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Hong Zhao
- Department of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
- Key Laboratory of Gene Editing Screening and Research and Development (R&D) of Digestive System Tumor Drugs, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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Zhao X, Hou JY, Zhu JJ, Zheng MN, Li L, Ning TL, Yu MH. [Characteristics of baseline viral load before antiretroviral therapy in newly reported HIV-infected patients in Tianjin, 2019-2022]. Zhonghua Liu Xing Bing Xue Za Zhi 2024; 45:353-357. [PMID: 38514311 DOI: 10.3760/cma.j.cn112338-20230912-00148] [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: 03/23/2024]
Abstract
Objective: To understand the baseline viral load (VL) of newly reported HIV- infected patients before antiretroviral therapy and related factors in Tianjin. Methods: Data were obtained from the China Disease Control and Prevention Information System, and the study subjects were HIV-infected patients before the first antiretroviral therapy in Tianjin from 2019 to 2022, and the information about their socio-demographic characteristics, baseline CD4+T lymphocyte (CD4) counts before antiretroviral therapy and baseline VL test results were collected, the baseline high VL was defined as ≥100 000 copies/ml. The effect of different factors on viral load were analyzed. Software SPSS 24.0 was used for statistical analysis. Results: A total of 1 296 newly reported HIV-infected patients were included in the study, in whom 15.89% (206/1 296) had high baseline VL, and multifactorial logistic regression analysis showed that those with history of STD (aOR=1.45, 95%CI:1.00-2.08) were more likely to have high baseline VL. Compared with those with baseline CD4 counts <200 cells/μl, those with baseline CD4 counts 200-350 cells/μl (aOR=0.40, 95%CI: 0.27-0.57), 351-500 cells/μl (aOR=0.32, 95%CI: 0.20-0.49), and >500 cells/μl (aOR=0.30, 95%CI: 0.18-0.49) were less likely to have high baseline VL. Conclusions: The proportion of HIV-infected patients with high baseline VL before antiretroviral therapy was low in Tianjin during 2019-2022. History of STD and baseline CD4 counts <200 cells/μl were associated with high baseline VL in HIV-infected patients, to which close attention needs to be paid in AIDS prevention and control.
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Affiliation(s)
- X Zhao
- Department of AIDS/STD Prevention and Control, Tianjin Centers for Disease Control and Prevention/Tianjin Key Laboratory of Pathogenic Microbiology of Infectious Disease, Tianjin 300011, China
| | - J Y Hou
- Department of AIDS/STD Prevention and Control, Tianjin Centers for Disease Control and Prevention/Tianjin Key Laboratory of Pathogenic Microbiology of Infectious Disease, Tianjin 300011, China
| | - J J Zhu
- Department of AIDS/STD Prevention and Control, Tianjin Centers for Disease Control and Prevention/Tianjin Key Laboratory of Pathogenic Microbiology of Infectious Disease, Tianjin 300011, China
| | - M N Zheng
- Department of AIDS/STD Prevention and Control, Tianjin Centers for Disease Control and Prevention/Tianjin Key Laboratory of Pathogenic Microbiology of Infectious Disease, Tianjin 300011, China
| | - L Li
- Department of AIDS/STD Prevention and Control, Tianjin Centers for Disease Control and Prevention/Tianjin Key Laboratory of Pathogenic Microbiology of Infectious Disease, Tianjin 300011, China
| | - T L Ning
- Department of AIDS/STD Prevention and Control, Tianjin Centers for Disease Control and Prevention/Tianjin Key Laboratory of Pathogenic Microbiology of Infectious Disease, Tianjin 300011, China
| | - M H Yu
- Department of AIDS/STD Prevention and Control, Tianjin Centers for Disease Control and Prevention/Tianjin Key Laboratory of Pathogenic Microbiology of Infectious Disease, Tianjin 300011, China
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Zhao Y, Jia Y, Wang J, Chen X, Han J, Zhen S, Yin S, Lv W, Yu F, Wang J, Xu F, Zhao X, Liu L. circNOX4 activates an inflammatory fibroblast niche to promote tumor growth and metastasis in NSCLC via FAP/IL-6 axis. Mol Cancer 2024; 23:47. [PMID: 38459511 PMCID: PMC10921747 DOI: 10.1186/s12943-024-01957-5] [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] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 02/10/2024] [Indexed: 03/10/2024] Open
Abstract
BACKGROUND Cancer-associated fibroblasts (CAFs) orchestrate a supportive niche that fuels cancer metastatic development in non-small cell lung cancer (NSCLC). Due to the heterogeneity and plasticity of CAFs, manipulating the activated phenotype of fibroblasts is a promising strategy for cancer therapy. However, the underlying mechanisms of fibroblast activation and phenotype switching that drive metastasis remain elusive. METHODS The clinical implications of fibroblast activation protein (FAP)-positive CAFs (FAP+CAFs) were evaluated based on tumor specimens from NSCLC patients and bioinformatic analysis of online databases. CAF-specific circular RNAs (circRNAs) were screened by circRNA microarrays of primary human CAFs and matched normal fibroblasts (NFs). Survival analyses were performed to assess the prognostic value of circNOX4 in NSCLC clinical samples. The biological effects of circNOX4 were investigated by gain- and loss-of-function experiments in vitro and in vivo. Fluorescence in situ hybridization, luciferase reporter assays, RNA immunoprecipitation, and miRNA rescue experiments were conducted to elucidate the underlying mechanisms of fibroblast activation. Cytokine antibody array, transwell coculture system, and enzyme-linked immunosorbent assay (ELISA) were performed to investigate the downstream effectors that promote cancer metastasis. RESULTS FAP+CAFs were significantly enriched in metastatic cancer samples, and their higher abundance was correlated with the worse overall survival in NSCLC patients. A novel CAF-specific circRNA, circNOX4 (hsa_circ_0023988), evoked the phenotypic transition from NFs into CAFs and promoted the migration and invasion of NSCLC in vitro and in vivo. Clinically, circNOX4 correlated with the poor prognosis of advanced NSCLC patients. Mechanistically, circNOX4 upregulated FAP by sponging miR-329-5p, which led to fibroblast activation. Furthermore, the circNOX4/miR-329-5p/FAP axis activated an inflammatory fibroblast niche by preferentially inducing interleukin-6 (IL-6) and eventually promoting NSCLC progression. Disruption of the intercellular circNOX4/IL-6 axis significantly suppressed tumor growth and metastatic colonization in vivo. CONCLUSIONS Our study reveals a role of the circRNA-induced fibroblast niche in tumor metastasis and highlights that targeting the circNOX4/FAP/IL-6 axis is a promising strategy for the intervention of NSCLC metastasis.
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Affiliation(s)
- Yan Zhao
- Department of Tumor Immunotherapy, The Fourth Hospital of Hebei Medical University and Hebei Provincial Tumor Hospital, Shijiazhuang, 050035, China
- Department of Oncology, The Fourth Hospital of Hebei Medical University and Hebei Provincial Tumor Hospital, Shijiazhuang, 050011, China
| | - Yunlong Jia
- Department of Tumor Immunotherapy, The Fourth Hospital of Hebei Medical University and Hebei Provincial Tumor Hospital, Shijiazhuang, 050035, China
| | - Jiali Wang
- Department of Tumor Immunotherapy, The Fourth Hospital of Hebei Medical University and Hebei Provincial Tumor Hospital, Shijiazhuang, 050035, China
| | - Xiaolin Chen
- Department of Nuclear Medicine, The Fourth Hospital of Hebei Medical University and Hebei Provincial Tumor Hospital, Shijiazhuang, 050011, China
| | - Jingya Han
- Department of Nuclear Medicine, The Fourth Hospital of Hebei Medical University and Hebei Provincial Tumor Hospital, Shijiazhuang, 050011, China
| | - Shuman Zhen
- Department of Tumor Immunotherapy, The Fourth Hospital of Hebei Medical University and Hebei Provincial Tumor Hospital, Shijiazhuang, 050035, China
| | - Shuxian Yin
- Department of Tumor Immunotherapy, The Fourth Hospital of Hebei Medical University and Hebei Provincial Tumor Hospital, Shijiazhuang, 050035, China
| | - Wei Lv
- Department of Tumor Immunotherapy, The Fourth Hospital of Hebei Medical University and Hebei Provincial Tumor Hospital, Shijiazhuang, 050035, China
| | - Fan Yu
- Department of Thoracic Surgery, The Fourth Hospital of Hebei Medical University and Hebei Provincial Tumor Hospital, Shijiazhuang, 050011, China
| | - Jiaqi Wang
- Department of Tumor Immunotherapy, The Fourth Hospital of Hebei Medical University and Hebei Provincial Tumor Hospital, Shijiazhuang, 050035, China
| | - Fan Xu
- Departments of Oncology, The Affiliated Hospital of Chengde Medical University, Chengde, 067000, China
| | - Xinming Zhao
- Department of Nuclear Medicine, The Fourth Hospital of Hebei Medical University and Hebei Provincial Tumor Hospital, Shijiazhuang, 050011, China.
- Hebei Provincial Key Laboratory of Tumor Microenvironment and Drug Resistance, Shijiazhuang, 050011, China.
| | - Lihua Liu
- Department of Tumor Immunotherapy, The Fourth Hospital of Hebei Medical University and Hebei Provincial Tumor Hospital, Shijiazhuang, 050035, China.
- Cancer Research Institute of Hebei Province, Shijiazhuang, 050011, China.
- International Cooperation Laboratory of Stem Cell Research, Hebei Medical University, Shijiazhuang, 050011, China.
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Zhao X, Zhang Q, Tao S, Zhou W, Jia PY. Corrigendum to "Association of edentulism and all-cause mortality in Chinese older adults: do sex differences exist?" [Public Health 221 (2023) 184-189]. Public Health 2024; 228:206. [PMID: 38402114 DOI: 10.1016/j.puhe.2023.11.037] [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: 02/26/2024]
Affiliation(s)
- X Zhao
- School of Health Humanities, Peking University, Beijing, China
| | - Q Zhang
- National School of Development, Peking University, Beijing, China
| | - S Tao
- School of Health Humanities, Peking University, Beijing, China
| | - W Zhou
- Research Center for Public Health and Social Security, School of Public Administration, Hunan University, Hunan, China
| | - P-Y Jia
- Department of the Fourth Clinical Division, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical, Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology & Research Center of Engineering and Technology for Computerized Dentistry, Ministry of Health & NMPA Key Laboratory for Dental Materials, Beijing, China.
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Yang Y, Li L, Xu Y, Ouyang J, Zhou Y, Ye F, Huang Z, Zhang W, Zhou A, Zhao X, Cai J, Wang Y, Zhou J, Zhao H. The GRAPHS-CRAFITY score: a novel efficacy predictive tool for unresectable hepatocellular carcinoma treated with immunotherapy. Radiol Med 2024; 129:188-201. [PMID: 38180570 DOI: 10.1007/s11547-023-01753-z] [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] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 11/07/2023] [Indexed: 01/06/2024]
Abstract
OBJECTIVES To investigate MR features associated with prognosis of unresectable HCC receiving immunotherapy and establish a MR feature-based scoring system to predict efficacy of immunotherapy. METHODS This retrospective study included patients with unresectable HCC who received immunotherapy at 2 hospitals between August 2018 and February 2022. The last follow-up was October 2022. Clinical variables and MR features were assessed using univariate and multivariate Cox regression analyses. A new scoring system was constructed based on independent risk factors and the CRAFITY score consisting of AFP (≥ 100 ng/ml) and CRP (≥ 1 mg/dl). And the predictive performance of CRAFITY core and new score were compared by receiver-operating-characteristics curves (ROCs), area under ROCs (AUCs), and calibration curves. RESULTS A total of 166 patients (55.6 ± 10.4 years) were included in training cohort and 77 patients (55.4 ± 10.7 years) were included in validation cohort. There were significant differences in BCLC stage, max size, macrovascular invasion, intratumoral artery, and enhancing capsule between the 2 groups. Based on independent risk factors (gross GRowtH type, intratumoral fAt, enhancing tumor caPsule, Sex and CRAFITY score), a novel efficacy predictive tool named the GRAPHS-CRAFITY score was developed to predict OS. The OS was significantly different among the 3 groups according to GRAPHS-CRAFITY score (p value < 0.001). The GRAPHS-CRAFITY score could predict tumor response and disease control (p value < 0.001, p value < 0.001). CONCLUSIONS The GRAPHS-CRAFITY score is a reliable and easily applicable tool to predict the efficacy of unresectable HCC receiving immunotherapy.
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Affiliation(s)
- Yi Yang
- Department of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Key Laboratory of Gene Editing Screening and Research and Development (R&D) of Digestive System Tumor Drugs, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lu Li
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ying Xu
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jingzhong Ouyang
- Department of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Key Laboratory of Gene Editing Screening and Research and Development (R&D) of Digestive System Tumor Drugs, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yanzhao Zhou
- Department of Hepatobiliary and Pancreatic Surgery, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, China
| | - Feng Ye
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Zhen Huang
- Department of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Key Laboratory of Gene Editing Screening and Research and Development (R&D) of Digestive System Tumor Drugs, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wen Zhang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Aiping Zhou
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xinming Zhao
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jianqiang Cai
- Department of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Key Laboratory of Gene Editing Screening and Research and Development (R&D) of Digestive System Tumor Drugs, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yong Wang
- Department of Ultrasound, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Jinxue Zhou
- Department of Hepatobiliary and Pancreatic Surgery, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, China.
| | - Hong Zhao
- Department of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
- Key Laboratory of Gene Editing Screening and Research and Development (R&D) of Digestive System Tumor Drugs, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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Liu Y, Chen X, Jing F, Zhao X, Zhang Z, Zhang J, Wang J, Dai M, Wang N, Wang T, Chen X. Feasibility of One-Day PET/CT Scanning Protocol with 68Ga-DOTA-FAPI-04 and 18F-FDG for the Detection of Ovarian Cancer Recurrence and Metastasis. Cancer Biother Radiopharm 2024; 39:55-63. [PMID: 37883659 DOI: 10.1089/cbr.2023.0085] [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] [Indexed: 10/28/2023] Open
Abstract
Objective: The objective of this study was to investigate the feasibility of 1-d 68Ga-DOTA-FAPI-04 and 18F-FDG (2-deoxy-2[18F]fluoro-d-glucose) positron emission tomography/computed tomography (PET/CT) for detecting ovarian cancer recurrence and metastasis. Materials and Methods: Fifty-two patients who underwent 18F-FDG and 68Ga-DOTA-FAPI-04 PET/CT were divided into 1- and 2-d groups. Image acquisition, injection time, and total waiting time were compared. For the 68Ga-DOTA-FAPI-04 PET/CT scans, low-dose CT scans and low injection dosages were employed, and total radiation dose was assessed for both protocols. The comparative analysis included assessment of patient-based detection rates and lesion-based diagnostic efficacy. Results: The total waiting time was significantly shorter in the 1-d group than in the 2-d group (p = 0.000). The radiation doses stemming from internal radiation and external radiation between the groups showed no differences (p = 0.151 vs. 0.716). In the patient-based analysis, the detection rates for local recurrence, peritoneal, lymph node, and other metastases were not significantly different in both protocols (p ∈ [0.351, 1.000]). For the lesion-based analysis, no differences were noted in terms of sensitivity, specificity, positive predictive value, negative predictive value, and accuracy (p ∈ [0.371, 1.000]). Conclusions: The 1-d PET/CT protocol reduced waiting time and exhibited equivalent detectability compared with the 2-d protocol, suggesting its clinical value.
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Affiliation(s)
- Yunuan Liu
- Department of Nuclear Medicine, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Xiaoshan Chen
- Department of Nuclear Medicine, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Fenglian Jing
- Department of Nuclear Medicine, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Xinming Zhao
- Department of Nuclear Medicine, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
- Hebei Provincial Key Laboratory of Tumor Microenvironment and Drug Resistance, Shijiazhuang, China
| | - Zhaoqi Zhang
- Department of Nuclear Medicine, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
- Hebei Provincial Key Laboratory of Tumor Microenvironment and Drug Resistance, Shijiazhuang, China
| | - Jingmian Zhang
- Department of Nuclear Medicine, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
- Hebei Provincial Key Laboratory of Tumor Microenvironment and Drug Resistance, Shijiazhuang, China
| | - Jianfang Wang
- Department of Nuclear Medicine, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
- Hebei Provincial Key Laboratory of Tumor Microenvironment and Drug Resistance, Shijiazhuang, China
| | - Meng Dai
- Department of Nuclear Medicine, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
- Hebei Provincial Key Laboratory of Tumor Microenvironment and Drug Resistance, Shijiazhuang, China
| | - Na Wang
- Department of Nuclear Medicine, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
- Hebei Provincial Key Laboratory of Tumor Microenvironment and Drug Resistance, Shijiazhuang, China
| | - Tingting Wang
- Department of Nuclear Medicine, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Xiaolin Chen
- Department of Nuclear Medicine, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
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Xu Y, Yang Y, Ouyang J, Zhou Y, Li L, Ye F, Yang H, Huang Z, Zhou A, Zhang W, Zhou J, Zhao X, Zhao H. Publisher Correction: Reclassification of therapeutic response of unresectable hepatocellular carcinoma to anti-angiogenic therapy and immunotherapy using alpha RECIST. Eur Radiol 2024:10.1007/s00330-023-10575-6. [PMID: 38285106 DOI: 10.1007/s00330-023-10575-6] [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: 01/30/2024]
Affiliation(s)
- Ying Xu
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yi Yang
- Department of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Key Laboratory of Gene Editing Screening and Research and Development (R&D) of Digestive System Tumor Drugs, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jingzhong Ouyang
- Department of Hepatobiliary and Pancreatic Surgery, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, China
| | - Yanzhao Zhou
- Department of Hepatobiliary and Pancreatic Surgery, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, China
| | - Lu Li
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Feng Ye
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Hongcai Yang
- Department of Interventional Therapy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhen Huang
- Department of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Key Laboratory of Gene Editing Screening and Research and Development (R&D) of Digestive System Tumor Drugs, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Aiping Zhou
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wen Zhang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Jinxue Zhou
- Department of Interventional Therapy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Xinming Zhao
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Hong Zhao
- Department of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
- Key Laboratory of Gene Editing Screening and Research and Development (R&D) of Digestive System Tumor Drugs, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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Zheng MH, Ma JJ, Zhao X. [Three decades of progress in China's laparoscopic colorectal surgery techniques]. Zhonghua Wei Chang Wai Ke Za Zhi 2024; 27:41-46. [PMID: 38262899 DOI: 10.3760/cma.j.cn441530-20240110-00020] [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: 01/25/2024]
Abstract
Laparoscopic colorectal surgery has been carried out in China for more than 30 years and has experienced a three-stage high-speed development of "exploring and designing,optimising and standardising, perfecting and re-innovating" at the technical level. Based on the support and assistance of laparoscopic technology, colorectal surgery has made rapid progress in sub-microscopic anatomy, surgical procedures, surgical concepts, instruments and equipment. Nowadays, the technology and efficacy of laparoscopic colorectal surgery have gradually reached the ceiling, and in view of the existing pain points and the future direction of development, where will we go? This article summarised the past three decades of experience and consolidate the results to guide the future practice and the way forward.
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Affiliation(s)
- M H Zheng
- Department of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Minimally Invasive Surgery Center, Shanghai 200020, China
| | - J J Ma
- Department of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Minimally Invasive Surgery Center, Shanghai 200020, China
| | - X Zhao
- Department of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Minimally Invasive Surgery Center, Shanghai 200020, China
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Feng B, Wang L, Zhu Y, Ma X, Cong R, Cai W, Liu S, Hu J, Wang S, Zhao X. The Value of LI-RADS and Radiomic Features From MRI for Predicting Microvascular Invasion in Hepatocellular Carcinoma within 5 cm. Acad Radiol 2024:S1076-6332(23)00683-9. [PMID: 38199902 DOI: 10.1016/j.acra.2023.12.007] [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: 10/18/2023] [Revised: 11/24/2023] [Accepted: 12/01/2023] [Indexed: 01/12/2024]
Abstract
RATIONALE AND OBJECTIVES To explore and compare the performance of LI-RADS® and radiomics from multiparametric MRI in predicting microvascular invasion (MVI) preoperatively in patients with solitary hepatocellular carcinoma (HCC)< 5 cm. METHODS We enrolled 143 patients with pathologically proven HCC and randomly stratified them into training (n = 100) and internal validation (n = 43) cohorts. Besides, 53 patients were enrolled to constitute an independent test cohort. Clinical factors and imaging features, including LI-RADS and three other features (non-smooth margin, incomplete capsule, and two-trait predictor of venous invasion), were reviewed and analyzed. Radiomic features from four MRI sequences were extracted. The independent clinic-imaging (clinical) and radiomics model for MVI-prediction were constructed by logistic regression and AdaBoost respectively. And the clinic-radiomics combined model was further constructed by logistic regression. We assessed the model discrimination, calibration, and clinical usefulness by using the area under the receiver operating characteristic curve (AUC), calibration curve, and decision-curve analysis respectively. RESULTS Incomplete tumor capsule, corona enhancement, and radiomic features were related to MVI in solitary HCC<5 cm. The clinical model achieved AUC of 0.694/0.661 (training/internal validation). The single-sequence-based radiomic model's AUCs were 0.753-0.843/0.698-0.767 (training/internal validation). The combination model exhibited superior diagnostic performance to the clinical model (AUC: 0.895/0.848 [training/ internal validation]) and yielded an AUC of 0.858 in an independent test cohort. CONCLUSION Incomplete tumor capsule and corona enhancement on preoperative MRI were significantly related to MVI in solitary HCC<5 cm. Multiple-sequence radiomic features potentially improve MVI-prediction-model performance, which could potentially help determining HCC's appropriate therapy.
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Affiliation(s)
- Bing Feng
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China (B.F., L.W., Y.Z., X.M., R.C., W.C., X.Z.)
| | - Leyao Wang
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China (B.F., L.W., Y.Z., X.M., R.C., W.C., X.Z.)
| | - Yongjian Zhu
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China (B.F., L.W., Y.Z., X.M., R.C., W.C., X.Z.)
| | - Xiaohong Ma
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China (B.F., L.W., Y.Z., X.M., R.C., W.C., X.Z.).
| | - Rong Cong
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China (B.F., L.W., Y.Z., X.M., R.C., W.C., X.Z.)
| | - Wei Cai
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China (B.F., L.W., Y.Z., X.M., R.C., W.C., X.Z.)
| | - Siyun Liu
- GE Healthcare (China), 1# Tongji South Road, Daxing District, Beijing, 100176, China (S.L., S.W.)
| | - Jiesi Hu
- Harbin Institute of Technology, HIT Campus of University Town of Shenzhen, Shenzhen, 518055, China (J.H.)
| | - Sicong Wang
- GE Healthcare (China), 1# Tongji South Road, Daxing District, Beijing, 100176, China (S.L., S.W.)
| | - Xinming Zhao
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China (B.F., L.W., Y.Z., X.M., R.C., W.C., X.Z.)
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Zhao X, Xiao D. [Research progress of mass-spectrometric technique in nucleic acid detection and analysis]. Zhonghua Yu Fang Yi Xue Za Zhi 2024; 58:98-106. [PMID: 38228556 DOI: 10.3760/cma.j.cn112150-20230129-00059] [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: 01/18/2024]
Abstract
Mass spectrometry is a spectroscopic technique for detecting the molecular weight of substances based on mass spectrometry equipment. Many types of mass spectrometry with different functions are widely used in scientific research and application technology development in various disciplines. In recent years, mass spectrometry has shown great potential in nucleic acid detection. In particular, matrix-assisted laser desorption/ionization time of flight mass spectrometry has become a research hotspot due to its velocity, high throughput, and accuracy. The nucleic acid research by mass spectrometry is highlighted in single nucleotide polymorphism, gene mutation, DNA methylation analysis, and DNA copy number variations. This article reviews the research and application of mass spectrometry in nucleic acid detection and analysis to provide a reference for the development of new detection technology for nucleic acid based on mass spectrometry.
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Affiliation(s)
- X Zhao
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - D Xiao
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
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Meng L, Sun Y, Zhao X, Meng DM, Liu Z, Adams DC, McDonagh DL, Rasmussen M. Effects of phenylephrine on systemic and cerebral circulations in humans: a systematic review with mechanistic explanations. Anaesthesia 2024; 79:71-85. [PMID: 37948131 DOI: 10.1111/anae.16172] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [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] [Accepted: 10/03/2023] [Indexed: 11/12/2023]
Abstract
We conducted a systematic review of the literature reporting phenylephrine-induced changes in blood pressure, cardiac output, cerebral blood flow and cerebral tissue oxygen saturation as measured by near-infrared spectroscopy in humans. We used the proportion change of the group mean values reported by the original studies in our analysis. Phenylephrine elevates blood pressure whilst concurrently inducing a reduction in cardiac output. Furthermore, despite increasing cerebral blood flow, it decreases cerebral tissue oxygen saturation. The extent of phenylephrine's influence on cardiac output (r = -0.54 and p = 0.09 in awake humans; r = -0.55 and p = 0.007 in anaesthetised humans), cerebral blood flow (r = 0.65 and p = 0.002 in awake humans; r = 0.80 and p = 0.003 in anaesthetised humans) and cerebral tissue oxygen saturation (r = -0.72 and p = 0.03 in awake humans; r = -0.24 and p = 0.48 in anaesthetised humans) appears closely linked to the magnitude of phenylephrine-induced blood pressure changes. When comparing the effects of phenylephrine in awake and anaesthetised humans, we found no evidence of a significant difference in cardiac output, cerebral blood flow or cerebral tissue oxygen saturation. There was also no evidence of a significant difference in effect on systemic and cerebral circulations whether phenylephrine was given by bolus or infusion. We explore the underlying mechanisms driving the phenylephrine-induced cardiac output reduction, cerebral blood flow increase and cerebral tissue oxygen saturation decrease. Individualised treatment approaches, close monitoring and consideration of potential risks and benefits remain vital to the safe and effective use of phenylephrine in acute care.
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Affiliation(s)
- L Meng
- Department of Anesthesia, Indiana University School of Medicine, IA, Indianapolis, USA
| | - Y Sun
- Department of Anesthesiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - X Zhao
- Department of Anesthesiology, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - D M Meng
- Choate Rosemary Hall School, CT, Wallingford, USA
| | - Z Liu
- Department of Biostatistics and Health Data Science, Indiana University School of Medicine, IA, Indianapolis, USA
| | - D C Adams
- Department of Anesthesia, Indiana University School of Medicine, IA, Indianapolis, USA
| | - D L McDonagh
- Departments of Anesthesiology and Pain Management, Neurological Surgery, Neurology and Neurotherapeutics, UT Southwestern Medical Center, TX, Dallas, USA
| | - M Rasmussen
- Department of Anesthesiology, Section of Neuroanesthesia, Aarhus University Hospital, Aarhus, Denmark
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Wusiman D, Guo L, Li L, Zhang X, Zhao X, An Z, Huang Z, Zhang Y, Li Z, Ying J, Wei M, Li W, An C. Clinicopathological and prognostic significance of PD-L1 and TIM-3 expression in medullary thyroid carcinoma: a retrospective immunohistochemistry study. J Endocrinol Invest 2024; 47:91-100. [PMID: 37464189 PMCID: PMC10776706 DOI: 10.1007/s40618-023-02126-z] [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: 01/06/2023] [Accepted: 05/30/2023] [Indexed: 07/20/2023]
Abstract
PURPOSE Expression of the programmed death-ligand 1 (PD-L1) and T-cell immunoglobulin and mucin-domain containing-3 (TIM-3) in medullary thyroid carcinoma (MTC) has been controversial and rarely reported. METHODS Surgical specimens of 190 MTC patients who had initial curative-intent surgery were collected. Immunohistochemistry of PD-L1 and TIM-3 was performed using 22C3 pharmDx (Dako, Carpinteria, CA) and anti-TIM-3 (1:500, ab241332, Abcam). Stained slides were scored using a combined positive score (CPS) with a cutoff of ≥ 1. We established correlations between PD-L1 expression, TIM-3 expression, clinicopathological, and survival data. RESULTS 13 cases (13/190, 6.84%) were positive for PD-L1 expression, and 42 cases (42/154, 27.27%) for TIM-3 expression. PD-L1 expression was correlated to TIM-3 expression (P = 0.002), but was not related to overall survival (OS) or progression-free survival (PFS). TIM-3 expression was correlated to perineural invasion (P = 0.040). Multivariate Cox analysis showed that lymphovascular invasion (LVI) was independently associated with OS. And tumor size, LVI, and lymph node metastases were significantly associated with PFS. Furthermore, the multivariate logistic analysis showed multifocal status, LVI, pathological T stage and lymph node metastasis were independent risk factors for biochemical recurrence/persistent disease. CONCLUSIONS We demonstrated that PD-L1 and TIM-3 expression were not frequent in MTC and were not associated with survival prognosis. Our results should be considered when clinical trials of PD-L1 or TIM-3 blockades are implemented.
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Affiliation(s)
- D Wusiman
- Department of Head and Neck Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China
| | - L Guo
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China
| | - L Li
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China
| | - X Zhang
- Department of Head and Neck Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China
| | - X Zhao
- Department of Head and Neck Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China
| | - Z An
- Department of Head and Neck Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China
| | - Z Huang
- Department of Head and Neck Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China
| | - Y Zhang
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China
| | - Z Li
- Department of Head and Neck Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China
| | - J Ying
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China
| | - M Wei
- Department of Head and Neck Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 518116, Shenzhen, China.
| | - W Li
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China.
| | - C An
- Department of Head and Neck Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China.
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Li D, Peng Q, Wang L, Cai W, Liang M, Liu S, Ma X, Zhao X. Preoperative prediction of disease-free survival in pancreatic ductal adenocarcinoma patients after R0 resection using contrast-enhanced CT and CA19-9. Eur Radiol 2024; 34:509-524. [PMID: 37507611 DOI: 10.1007/s00330-023-09980-8] [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] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Revised: 05/18/2023] [Accepted: 05/28/2023] [Indexed: 07/30/2023]
Abstract
OBJECTIVES To investigate the efficiency of a combination of preoperative contrast-enhanced computed tomography (CECT) and carbohydrate antigen 19-9 (CA19-9) in predicting disease-free survival (DFS) after R0 resection of pancreatic ductal adenocarcinoma (PDAC). METHODS A total of 138 PDAC patients who underwent curative R0 resection were retrospectively enrolled and allocated chronologically to training (n = 91, January 2014-July 2019) and validation cohorts (n = 47, August 2019-December 2020). Using univariable and multivariable Cox regression analyses, we constructed a preoperative clinicoradiographic model based on the combination of CECT features and serum CA19-9 concentrations, and validated it in the validation cohort. The prognostic performance was evaluated and compared with that of postoperative clinicopathological and tumor-node-metastasis (TNM) models. Kaplan-Meier analysis was conducted to verify the preoperative prognostic stratification performance of the proposed model. RESULTS The preoperative clinicoradiographic model included five independent prognostic factors (tumor diameter on CECT > 4 cm, extrapancreatic organ infiltration, CECT-reported lymph node metastasis, peripheral enhancement, and preoperative CA19-9 levels > 180 U/mL). It better predicted DFS than did the postoperative clinicopathological (C-index, 0.802 vs. 0.787; p < 0.05) and TNM (C-index, 0.802 vs. 0.711; p < 0.001) models in the validation cohort. Low-risk patients had significantly better DFS than patients at the high-risk, defined by the model preoperatively (p < 0.001, training cohort; p < 0.01, validation cohort). CONCLUSIONS The clinicoradiographic model, integrating preoperative CECT features and serum CA19-9 levels, helped preoperatively predict postsurgical DFS for PDAC and could facilitate clinical decision-making. CLINICAL RELEVANCE STATEMENT We constructed a simple model integrating clinical and radiological features for the prediction of disease-free survival after curative R0 resection in patients with pancreatic ductal adenocarcinoma; this novel model may facilitate preoperative identification of patients at high risk of recurrence and metastasis that may benefit from neoadjuvant treatments. KEY POINTS • Existing clinicopathological predictors for prognosis in pancreatic ductal adenocarcinoma (PDAC) patients who underwent R0 resection can only be ascertained postoperatively and do not allow preoperative prediction. • We constructed a clinicoradiographic model, using preoperative contrast-enhanced computed tomography (CECT) features and preoperative carbohydrate antigen 19-9 (CA19-9) levels, and presented it as a nomogram. • The presented model can predict disease-free survival (DFS) in patients with PDAC better than can postoperative clinicopathological or tumor-node-metastasis (TNM) models.
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Affiliation(s)
- Dengfeng Li
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.17, Panjiayuan Street South, Chaoyang District, Beijing, 100021, China
| | - Qing Peng
- Department of Interventional Therapy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Leyao Wang
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.17, Panjiayuan Street South, Chaoyang District, Beijing, 100021, China
| | - Wei Cai
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.17, Panjiayuan Street South, Chaoyang District, Beijing, 100021, China
| | - Meng Liang
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.17, Panjiayuan Street South, Chaoyang District, Beijing, 100021, China
| | - Siyun Liu
- GE Healthcare (China), Beijing, 100176, China
| | - Xiaohong Ma
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.17, Panjiayuan Street South, Chaoyang District, Beijing, 100021, China.
| | - Xinming Zhao
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.17, Panjiayuan Street South, Chaoyang District, Beijing, 100021, China.
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Chen X, Sun SH, Xu Y, Zhang HW, Zhao X, Gao ZD. [Investigation on occupational burnout among medical staff of tuberculosis control in Beijing]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2023; 41:901-905. [PMID: 38195225 DOI: 10.3760/cma.j.cn121094-20221026-00515] [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] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Abstract
Objective: To understand the occupational burnout status of tuberculosis prevention and treatment medical staff in Beijing, and analyze the influencing factors of different degrees of occupational burnout. Methods: From April to May 2021, an anonymous questionnaire survey was conducted among the medical staff of tuberculosis prevention and control in Beijing and 16 districts under its jurisdiction. A total of 313 questionnaires were issued, 311 were recovered, and 311 were valid, with an effective recovery rate of 99.36%. The General Information Questionnaire and Maslach Burnout Inventory Generalized Scale (MBI-GS) were used to collect social demographic data and the occurrence of occupational burnout, analyze the occurrence degree of occupational burnout, and identify the influencing factors of the occurrence degree of occupational burnout by using the orderly multiple logistic regression model. Results: Among 311 tuberculosis prevention and control medical staff, the total detection rate of occupational burnout was 62.70% (195/311), and the detection rates of mild, moderate and severe occupational burnout were 22.19% (69/311), 38.59% (120/311) and 1.93% (6/311), respectively. Orderly multiple logistic regression analysis showed that medical staff in prevention and control positions (OR=1.616, 95% CI: 1.030-2.534, P=0.037) and not meeting expectations for title promotion (OR=2.969, 95%CI: 1.675-5.262, P<0.001), and not getting along well with colleagues (OR=2.177, 95%CI: 1.362-3.480, P=0.001) were the main factors affecting the occurrence and severity of occupational burnout among tuberculosis prevention and treatment medical staff. Conclusion: The main manifestations of tuberculosis prevention and control medical staff in Beijing are mild to moderate occupational burnout. It is suggested to pay attention to the occupational needs of different positions of tuberculosis prevention and control medical staff, cultivate professional achievement, carry out psychological counseling, and reduce the degree of occupational burnout.
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Affiliation(s)
- X Chen
- Institute for Tuberculosis Prevention and Control of Beijing Center for Disease Prevention and Control, Beijing 100035, China
| | - S H Sun
- Institute for Tuberculosis Prevention and Control of Beijing Center for Disease Prevention and Control, Beijing 100035, China
| | - Y Xu
- Institute for Tuberculosis Prevention and Control of Beijing Center for Disease Prevention and Control, Beijing 100035, China
| | - H W Zhang
- Institute for Tuberculosis Prevention and Control of Beijing Center for Disease Prevention and Control, Beijing 100035, China
| | - X Zhao
- Institute for Tuberculosis Prevention and Control of Beijing Center for Disease Prevention and Control, Beijing 100035, China
| | - Z D Gao
- Institute for Tuberculosis Prevention and Control of Beijing Center for Disease Prevention and Control, Beijing 100035, China
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Xu H, Wu W, Zhao Y, Liu Z, Bao D, Li L, Lin M, Zhang Y, Zhao X, Luo D. Analysis of preoperative computed tomography radiomics and clinical factors for predicting postsurgical recurrence of papillary thyroid carcinoma. Cancer Imaging 2023; 23:118. [PMID: 38098119 PMCID: PMC10722708 DOI: 10.1186/s40644-023-00629-9] [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] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 10/19/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND Postsurgical recurrence is of great concern for papillary thyroid carcinoma (PTC). We aim to investigate the value of computed tomography (CT)-based radiomics features and conventional clinical factors in predicting the recurrence of PTC. METHODS Two-hundred and eighty patients with PTC were retrospectively enrolled and divided into training and validation cohorts at a 6:4 ratio. Recurrence was defined as cytology/pathology-proven disease or morphological evidence of lesions on imaging examinations within 5 years after surgery. Radiomics features were extracted from manually segmented tumor on CT images and were then selected using four different feature selection methods sequentially. Multivariate logistic regression analysis was conducted to identify clinical features associated with recurrence. Radiomics, clinical, and combined models were constructed separately using logistic regression (LR), support vector machine (SVM), k-nearest neighbor (KNN), and neural network (NN), respectively. Receiver operating characteristic analysis was performed to evaluate the model performance in predicting recurrence. A nomogram was established based on all relevant features, with its reliability and reproducibility verified using calibration curves and decision curve analysis (DCA). RESULTS Eighty-nine patients with PTC experienced recurrence. A total of 1218 radiomics features were extracted from each segmentation. Five radiomics and six clinical features were related to recurrence. Among the 4 radiomics models, the LR-based and SVM-based radiomics models outperformed the NN-based radiomics model (P = 0.032 and 0.026, respectively). Among the 4 clinical models, only the difference between the area under the curve (AUC) of the LR-based and NN-based clinical model was statistically significant (P = 0.035). The combined models had higher AUCs than the corresponding radiomics and clinical models based on the same classifier, although most differences were not statistically significant. In the validation cohort, the combined models based on the LR, SVM, KNN, and NN classifiers had AUCs of 0.746, 0.754, 0.669, and 0.711, respectively. However, the AUCs of these combined models had no significant differences (all P > 0.05). Calibration curves and DCA indicated that the nomogram have potential clinical utility. CONCLUSIONS The combined model may have potential for better prediction of PTC recurrence than radiomics and clinical models alone. Further testing with larger cohort may help reach statistical significance.
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Affiliation(s)
- Haijun Xu
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Wenli Wu
- Medical Imaging Center, Liaocheng Tumor Hospital, Liaocheng, 252000, China
| | - Yanfeng Zhao
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
| | - Zhou Liu
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China
| | - Dan Bao
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Lin Li
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Meng Lin
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Ya Zhang
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China
| | - Xinming Zhao
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Dehong Luo
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China.
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Ouyang J, Yang Y, Zhou Y, Ye F, Wang Z, Li Q, Xu Y, Li L, Zhao X, Zhang W, Zhou A, Huang Z, Wang Y, Cai J, Zhao H, Zhou J. The MAPS-CRAFITY score: a novel efficacy predictive tool for unresectable hepatocellular carcinoma treated with targeted therapy plus immunotherapy. Hepatol Int 2023; 17:1519-1531. [PMID: 37707759 DOI: 10.1007/s12072-023-10580-3] [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: 05/15/2023] [Accepted: 08/06/2023] [Indexed: 09/15/2023]
Abstract
BACKGROUND Body composition parameters (BCPs) are associated with mortality in patients with hepatocellular carcinoma (HCC). Our purpose was to develop a practical scoring model by BCP and the CRAFITY score to predict the overall survival (OS) and tumor response of patients with HCC who received targeted therapy plus immunotherapy. METHODS This retrospective study included 265 patients with HCC who received targeted therapy plus immunotherapy at 2 centers in China from August 2018 to February 2022. Univariate and multivariate Cox regression analyses were applied to analyze clinical factors and BCP. A scoring model based on independent risk factors was developed to predict OS and tumor response. Moreover, the model's prediction was further validated by an external cohort. RESULTS A total of 150 patients (55.5 ± 10.8 years) and 115 patients (55.0 ± 8.9 years) treated with lenvatinib or bevacizumab biosimilar plus anti-programmed death-1 (PD-1) antibody were included in training and validation cohorts, respectively. In the training cohort, independent predictive factors for OS included macrovascular invasion (p = 0.016), Child‒Pugh class (A vs. B, p = 0.001; A vs. C, p < 0.001), sarcopenia (p = 0.034), and the CRAFITY score (p = 0.011). Based on independent risk factors (MAcrovascular invasion, Child‒Pugh class, Sarcopenia, and the CRAFITY score) identified by multivariate analysis, a novel efficacy predictive tool named the MAPS-CRAFITY score was developed to predict OS. In all the training and validation cohorts, the OS differed significantly across the three groups based on the MAPS-CRAFITY score (< 2.1, 2.1-2.3, ≥ 2.4; p < 0.001). Moreover, the C-index of the MAPS-CRAFITY score was 0.720 and 0.761 in the training and validation cohorts, respectively. In both the validation and training cohorts, the MAPS-CRAFITY score was predictive of tumor response and disease control (p < 0.001). The AUCs of the MAPS-CRAFITY score for predicting disease control were 0.752 in the training cohort and 0.836 in the validation cohort. CONCLUSIONS The MAPS-CRAFITY score based on sarcopenia and the CRAFITY score is a reliable and practical tool for predicting the efficacy of targeted therapy plus immunotherapy in patients with unresectable HCC, and may help hepatologists and oncologists in clinical decision-making.
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Affiliation(s)
- Jingzhong Ouyang
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, 450003, Henan, China
| | - Yi Yang
- Department of Hepatobiliary Surgery, Cancer Hospital, National Cancer Center, National Clinical Research Center for Cancer, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
- Key Laboratory of Gene Editing Screening and Research and Development (R & D) of Digestive System Tumor Drugs, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Yanzhao Zhou
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, 450003, Henan, China
| | - Feng Ye
- Department of Diagnostic Radiology, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
| | - Zhengzheng Wang
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, 450003, Henan, China
| | - Qingjun Li
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, 450003, Henan, China
| | - Ying Xu
- Department of Diagnostic Radiology, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Lu Li
- Department of Diagnostic Radiology, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Xinming Zhao
- Department of Diagnostic Radiology, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Wen Zhang
- Department of Medical Oncology, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Aiping Zhou
- Department of Medical Oncology, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Zhen Huang
- Department of Hepatobiliary Surgery, Cancer Hospital, National Cancer Center, National Clinical Research Center for Cancer, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
- Key Laboratory of Gene Editing Screening and Research and Development (R & D) of Digestive System Tumor Drugs, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Yong Wang
- Department of Ultrasound, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
| | - Jianqiang Cai
- Department of Hepatobiliary Surgery, Cancer Hospital, National Cancer Center, National Clinical Research Center for Cancer, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
- Key Laboratory of Gene Editing Screening and Research and Development (R & D) of Digestive System Tumor Drugs, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
| | - Hong Zhao
- Department of Hepatobiliary Surgery, Cancer Hospital, National Cancer Center, National Clinical Research Center for Cancer, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
- Key Laboratory of Gene Editing Screening and Research and Development (R & D) of Digestive System Tumor Drugs, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
| | - Jinxue Zhou
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, 450003, Henan, China.
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Abstract
ABSTRACT A 31-year-old man with multiple intrahepatic inflammatory myofibroblastoma tumor was referred to nuclear medicine department to assess its malignant potential. Multiple lesions in the liver exhibited 68 Ga-FAPI uptake at different degrees. Instead, there was no abnormal 18 F-FDG activity in the other hepatic lesions under the normal liver background except for the puncture site. This case reflects tumor heterogeneity of the disease and shows the potential value of 68 Ga-FAPI PET/CT for the evaluation of hepatic inflammatory myofibroblastoma tumor.
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Affiliation(s)
| | - Ziliang Liu
- Shijiazhuang Huabei Pharmaceutical Hospital of North China Medical and Health Group, Shijiazhuang, Hebei, China
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Zhao X, Wang X, Wang S, Chen L, Sun S. Absolute and relative iodine concentrations in the spot sign and haematoma for prediction of haematoma expansion in spontaneous intracerebral haemorrhage. Clin Radiol 2023; 78:e950-e957. [PMID: 37690974 DOI: 10.1016/j.crad.2023.08.014] [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: 03/22/2023] [Revised: 08/15/2023] [Accepted: 08/16/2023] [Indexed: 09/12/2023]
Abstract
AIM To explore the predictive value of absolute and relative iodine concentrations in the spot sign (SS) and haematoma on gemstone spectral imaging (GSI) for haematoma expansion (HE). MATERIALS AND METHODS Patients with spontaneous intracerebral haemorrhage (ICH) who underwent computed tomography (CT) angiography using GSI were divided into an SS-positive group and an SS-negative group. In the SS-positive group, absolute and relative iodine concentrations in the SS (aICIS and rICIS, respectively) were measured. In the SS-negative group, absolute and relative iodine concentrations in haematoma (aICIH and rICIH, respectively) were measured. The area under the receiver operating characteristic curve (AUC-ROC) was used to investigate the HE predictive performance of aICIS, rICIS, and their combination in the SS-positive group, as well as the HE predictive performance of aICIH, rICIH, and their combination in the SS-negative group. The risk variables for HE in the two groups were investigated separately using logistic regression. RESULTS A total of 123 spontaneous ICH patients were enrolled. In the SS-positive group, the AUC of aICIS, rICIS, and their combination for predicting HE were 0.853, 0.893, and 0.922, respectively. rICIS was demonstrated to be a standalone predictor of HE via logistic regression. In the SS-negative group, aICIH, rICIH, and their combination had AUC-ROC values of 0.552, 0.783, and 0.851, respectively, to predict HE. According to multivariate analysis, rICIH was a reliable predictor of HE. CONCLUSION Absolute and relative iodine concentrations in the SS and haematoma can predict HE.
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Affiliation(s)
- X Zhao
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, No. 119 Nansihuan Road, Fengtai District, Beijing 100070, China
| | - X Wang
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, No. 119 Nansihuan Road, Fengtai District, Beijing 100070, China
| | - S Wang
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, No. 119 Nansihuan Road, Fengtai District, Beijing 100070, China
| | - L Chen
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, No. 119 Nansihuan Road, Fengtai District, Beijing 100070, China
| | - S Sun
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, No. 119 Nansihuan Road, Fengtai District, Beijing 100070, China; Department of Radiology, Beijing Neurosurgical Institute, No. 119 Nansihuan Road, Fengtai District, Beijing 100070, China.
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Du B, Zhang W, Shao X, An J, Ma H, Zhao X, Xu L, An D, Tian Y, Dong Y, Niu H. "Triple-low" radiation dose bronchial artery CT angiography before bronchial artery embolisation: a feasibility study. Clin Radiol 2023; 78:e1017-e1022. [PMID: 37813755 DOI: 10.1016/j.crad.2023.09.005] [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: 03/28/2023] [Revised: 09/01/2023] [Accepted: 09/12/2023] [Indexed: 10/11/2023]
Abstract
AIM To explore the feasibility of a "triple-low" dose (low tube voltage, low tube current, and low contrast agent volume) bronchial artery computed tomography (CT) angiography (CTA) to replace routine dose bronchial artery CTA before bronchial artery embolisation (BAE). MATERIALS AND METHODS CTA was obtained from 60 patients with body mass index (BMI) < 30 kg/m2 using a 256 multi-section iCT system, and they were divided into two groups: (1) group A: 100 kVp, 100 mAs, 50 ml contrast medium (CM); (2) group B: 120 kVp, automatic tube current modulation (ACTM), 80 ml CM. CT attenuation of the thoracic aorta, image noise, signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were calculated, and subjective image quality scores and traceability scores assessed. The effective radiation dose was calculated. RESULTS The radiation dose was reduced by 79.7% in group A compared to group B (p<0.05). The CT attenuation of the thoracic aorta was increased by approximately 13% in group A compared to group B (p<0.05). Higher image noise, lower SNR, and CNR were obtained in group A compared to group B (all p<0.05). Both subjective image quality scores and traceability scores did not differ between groups A and B (both p>0.05). CONCLUSION It is feasible to use the "triple-low" dose CTA protocol for patients with a body mass index (BMI) < 30 kg/m2. The radiation dose was reduced by 79.7%, and the dose of contrast medium was reduced by 37.5% to ensure the diagnostic value.
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Affiliation(s)
- B Du
- Department of Radiology, Hebei Medical University, No. 361 Zhongshan East Road, Shijiazhuang, 050011, Hebei, China
| | - W Zhang
- Chengde Medical University, Anyuan Road, Chengde, 067000, Hebei, China
| | - X Shao
- Department of Radiology, Hebei Medical University, No. 361 Zhongshan East Road, Shijiazhuang, 050011, Hebei, China
| | - J An
- Department of Interventional Treatment, First Hospital of Qinhuangdao, No. 258 Wenhua Road, Qinhuangdao, 066099, Hebei, China
| | - H Ma
- Chengde Medical University, Anyuan Road, Chengde, 067000, Hebei, China
| | - X Zhao
- Department of Radiology, Hebei Medical University, No. 361 Zhongshan East Road, Shijiazhuang, 050011, Hebei, China
| | - L Xu
- Department of Radiology, Hebei Medical University, No. 361 Zhongshan East Road, Shijiazhuang, 050011, Hebei, China
| | - D An
- Department of Interventional Treatment, First Hospital of Qinhuangdao, No. 258 Wenhua Road, Qinhuangdao, 066099, Hebei, China
| | - Y Tian
- Department of Interventional Treatment, First Hospital of Qinhuangdao, No. 258 Wenhua Road, Qinhuangdao, 066099, Hebei, China
| | - Y Dong
- Department of Interventional Treatment, First Hospital of Qinhuangdao, No. 258 Wenhua Road, Qinhuangdao, 066099, Hebei, China
| | - H Niu
- Department of Interventional Treatment, First Hospital of Qinhuangdao, No. 258 Wenhua Road, Qinhuangdao, 066099, Hebei, China.
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Meng L, Yu Q, Zhao X, Chen L, Wang Y, Zhang W, Chen H, Chen Y. Purtscher-like retinopathy in systemic lupus erythematosus: clinical features, risk factors and prognosis. QJM 2023; 116:923-932. [PMID: 37665730 DOI: 10.1093/qjmed/hcad204] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Indexed: 09/06/2023] Open
Abstract
BACKGROUND Purtscher-like retinopathy (PLR) is a rare ocular manifestation in systemic lupus erythematosus (SLE) with poor prognosis, but its clear risk factors and treatment consensus are still lacking. AIM To investigate the clinical features, risk factors and prognosis of PLR in SLE patients. DESIGN AND METHODS A retrospective analysis was conducted on SLE patients with PLR admitted at Peking Union Medical College Hospital from 2013 to 2022. Clinical data, including demographic characteristics, lupus-related features, laboratory findings and ophthalmologic examinations, were collected and analyzed. The prognosis was evaluated based on best-corrected visual acuity and ophthalmologic outcomes. RESULTS Seventeen SLE patients (32 eyes) diagnosed with PLR were included, along with a random selection of 100 SLE patients without retinopathy and 100 with retinal microvasculopathy as controls. Patients with PLR had a significantly younger age, a higher proportion of hemolytic anemia, a shorter duration of SLE, a higher SLE disease activity index-2000 (SLEDAI-2K) score, higher erythrocyte sedimentation rate (ESR) values and lower hemoglobin (HGB) values than the group without retinopathy (P < 0.05). They also had a significantly higher SLEDAI-2K score, higher ESR values and higher white blood cell values (P < 0.05) than the Microvasculopathy group. The majority of eyes (22/26, 84.62%) achieved stabilization at the last follow-up, with different therapeutic strategies, while a few (4/26, 15.38%) experienced complications or progression. CONCLUSION This is the largest reported case series of PLR in SLE, which was associated with higher disease activity and poor visual prognosis. It was also associated with younger age, shorter SLE duration, concomitant hemolytic anemia, lower HGB and higher ESR value. Early recognition and prompt treatment are crucial for improving visual outcomes.
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Affiliation(s)
- L Meng
- Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
- Key Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Q Yu
- Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
- Key Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - X Zhao
- Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
- Key Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - L Chen
- Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
- Key Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Y Wang
- Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
- Key Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - W Zhang
- Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
- Key Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - H Chen
- Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
- Key Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Y Chen
- Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
- Key Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
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Xu Y, Li Z, Yang Y, Zhang Y, Li L, Zhou Y, Ouyang J, Huang Z, Wang S, Xie L, Ye F, Zhou J, Ying J, Zhao H, Zhao X. Association Between MRI Radiomics and Intratumoral Tertiary Lymphoid Structures in Intrahepatic Cholangiocarcinoma and Its Prognostic Significance. J Magn Reson Imaging 2023. [PMID: 37942838 DOI: 10.1002/jmri.29128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 10/28/2023] [Accepted: 10/30/2023] [Indexed: 11/10/2023] Open
Abstract
BACKGROUND Tertiary lymphoid structures (TLSs) have prognostic value in intrahepatic cholangiocarcinoma (ICC) patients. Noninvasive tool to preoperatively evaluate TLSs is still lacking. PURPOSE To explore the association between TLSs status of ICC and preoperative MRI radiomics analysis. STUDY TYPE Retrospective. SUBJECTS One hundred and ninety-two patients with ICC, divided into training (T = 105), internal validation groups (V1 = 46), and external validation group (V2 = 41). SEQUENCE Coronal and axial single-shot fast spin-echo T2-weighted, diffusion-weighted imaging, T1-weighted, and T1WI fat-suppressed spoiled gradient-recall echo LAVA sequence at 3.0 T. ASSESSMENT The VOIs were drawn manually within the visible borders of the tumors using ITK-SNAP version 3.8.0 software in the axial T2WI, DWI, and portal vein phase sequences. Radiomics features were subjected to least absolute shrinkage and selection operator regression to select the associated features of TLSs and construct the radiomics model. Univariate and multivariate analyses were used to identify the clinical radiological variables associated with TLSs. The performances were evaluated by the area under the receiver operator characteristic curve (AUC). STATISTICAL TESTS Logistic regression analysis, ROC and AUC, Hosmer-Lemeshow test, Kaplan-Meier method with the log-rank test, calibration curves, and decision curve analysis. P < 0.05 was considered statistically significant. RESULTS The AUCs of arterial phase diffuse hyperenhancement were 0.59 (95% confidence interval [CI], 0.50-0.67), 0.52 (95% CI, 0.43-0.61), and 0.66 (95% CI, 0.52-0.80) in the T, V1, and V2 cohorts. The AUCs of Rad-score were 0.85 (95% CI, 0.77-0.92), 0.81 (95% CI, 0.67-0.94), and 0.84 (95% CI, 0.71-0.96) in the T, V1, and V2 cohorts, respectively. In cohort T, low-risk group showed significantly better median recurrence-free survival (RFS) than that of the high-risk group, which was also confirmed in cohort V1 and V2. DATA CONCLUSION A preoperative MRI radiomics signature is associated with the intratumoral TLSs status of ICC patients and correlate significantly with RFS. LEVEL OF EVIDENCE 3 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Ying Xu
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhuo Li
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yi Yang
- Key Laboratory of Gene Editing Screening and Research and Development (R&D) of Digestive System Tumor Drugs, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Department of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuwei Zhang
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, China
| | - Lu Li
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yanzhao Zhou
- Department of Hepatobiliary and Pancreatic Surgery, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, China
| | - Jingzhong Ouyang
- Department of Hepatobiliary and Pancreatic Surgery, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, China
| | - Zhen Huang
- Key Laboratory of Gene Editing Screening and Research and Development (R&D) of Digestive System Tumor Drugs, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Department of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Sicong Wang
- Magnetic Resonance Imaging Research, General Electric Healthcare, Beijing, China
| | - Lizhi Xie
- Magnetic Resonance Imaging Research, General Electric Healthcare, Beijing, China
| | - Feng Ye
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jinxue Zhou
- Department of Hepatobiliary and Pancreatic Surgery, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, China
| | - Jianming Ying
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Key Laboratory of Gene Editing Screening and Research and Development (R&D) of Digestive System Tumor Drugs, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hong Zhao
- Key Laboratory of Gene Editing Screening and Research and Development (R&D) of Digestive System Tumor Drugs, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Department of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xinming Zhao
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Kong Z, Wang J, Ni S, Liu Y, Zhao X, Zhu Y, Li L, Liu S. CT-based quantification of trachea shape to detect invasion by thyroid cancer. Eur Radiol 2023:10.1007/s00330-023-10301-2. [PMID: 37926738 DOI: 10.1007/s00330-023-10301-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 07/28/2023] [Accepted: 08/09/2023] [Indexed: 11/07/2023]
Abstract
OBJECTIVE This study aims to develop a CT-based method for quantifying tracheal shape and evaluating its ability to distinguish between cases with or without tracheal invasion in patients with thyroid carcinoma. METHODS A total of 116 quantitative shape features, including 56 geometric moments and 60 bounding shape features, were defined. The tracheal lumen was semi-automatically defined with a CT threshold of less than - 500 HU. Three contiguous slices with the 1st, 2nd, and 3rd smallest trachea lumen areas were contiguously selected, and the appropriate number of slices to be included was determined. Fifty-six patients with differentiated thyroid carcinoma (DTC) invading the trachea and 22 patients with DTC but without invasion were retrospectively included. A receiver operating characteristic (ROC) curve was applied to select the representative shape features and determine the optimal threshold. RESULTS 23.3%, 25.9%, and 24.1% of the features displayed an area under the ROC curve (AUC) ≥ 0.800 when derived from 1, 2, and 3 slices, respectively. Calculating feature values from two slices with the 1st and 2nd smallest tracheal lumen area were considered appropriate. Six final features, including 3 geometric moments and 3 bounding shape features, were selected to determine the tracheal invasion status of DTC and displayed AUCs of 0.875-0.918, accuracies of 0.821-0.891, sensitivities of 0.813-0.893, and specificities of 0.818-0.932, outperforming the visual evaluation results. CONCLUSIONS Geometric moments and bounding shape features can quantify the tracheal shape and are reliable for identifying DTC tracheal invasion. The selected features quantified the extent of tracheal deformity in DTC patients with and without tracheal invasion. CLINICAL RELEVANCE STATEMENT Six geometric features provide a non-invasive, semi-automated evaluation of the tracheal invasion status of thyroid cancer. KEY POINTS • A novel method for quantifying tracheal shape using 56 geometric moments and 60 bounding shape features was developed. • Six features identify tracheal invasion by thyroid carcinoma. • The selected features quantified the extent of tracheal deformity in differentiated thyroid carcinoma patients with and without tracheal invasion.
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Affiliation(s)
- Ziren Kong
- Department of Head and Neck Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.17 Panjiayuannanli, Chaoyang District, Beijing, China
| | - Jian Wang
- Department of Head and Neck Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.17 Panjiayuannanli, Chaoyang District, Beijing, China
| | - Song Ni
- Department of Head and Neck Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.17 Panjiayuannanli, Chaoyang District, Beijing, China
| | - Yang Liu
- Department of Head and Neck Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.17 Panjiayuannanli, Chaoyang District, Beijing, China
| | - Xinming Zhao
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17, Panjiayuannanli, Chaoyang District, Beijing, China
| | - Yiming Zhu
- Department of Head and Neck Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.17 Panjiayuannanli, Chaoyang District, Beijing, China.
| | - Lin Li
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17, Panjiayuannanli, Chaoyang District, Beijing, China.
| | - Shaoyan Liu
- Department of Head and Neck Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.17 Panjiayuannanli, Chaoyang District, Beijing, China.
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Wang L, Liang M, Feng B, Li D, Cong R, Chen Z, Wang S, Ma X, Zhao X. Microvascular invasion-negative hepatocellular carcinoma: Prognostic value of qualitative and quantitative Gd-EOB-DTPA MRI analysis. Eur J Radiol 2023; 168:111146. [PMID: 37832198 DOI: 10.1016/j.ejrad.2023.111146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 09/27/2023] [Accepted: 10/06/2023] [Indexed: 10/15/2023]
Abstract
OBJECTIVES The purpose of this study was to establish a model for predicting the prognosis of patients with microvascular invasion (MVI)-negative hepatocellular carcinoma (HCC) based on qualitative and quantitative analyses of Gd-EOB-DTPA magnetic resonance imaging (MRI). MATERIALS AND METHODS Consecutive patients with MVI-negative HCC who underwent preoperative Gd-EOB-DTPA MRI between January 2015 and December 2019 were retrospectively enrolled.In total, 122 patients were randomly assigned to the training and validation groups at a ratio of 7:3. Univariate and multivariate logistic regression analyses were performed to identify significant clinical parameters and MRI features, including quantitative and qualitative parameters associated with prognosis, which were incorporated into a predictive nomogram. The end-point of this study was recurrence-free survival. Outcomes were compared between groups using the Kaplan-Meier method with the log-rank test. RESULTS During a median follow-up period of 58.86 months, 38 patients (31.15 %) experienced recurrence. Multivariate analysis revealed that lower relative enhancement ratio (RER), hepatobiliary phase hypointensity without arterial phase hyperenhancement, Liver Imaging Reporting and Data System category, mild-moderate T2 hyperintensity, and higher aspartate aminotransferase levels were risk factors associated with prognosis and then incorporated into the prognostic model. C-indices for training and validation groups were 0.732 and 0.692, respectively. The most appropriate cut-off value for RER was 1.197. Patients with RER ≤ 1.197 had significantly higher postoperative recurrence rates than those with RER > 1.197 (p = 0.004). CONCLUSION The model integrating qualitative and quantitative imaging parameters and clinical parameters satisfactorily predicted the prognosis of patients with MVI-negative HCC.
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Affiliation(s)
- Leyao Wang
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Meng Liang
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Bing Feng
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Dengfeng Li
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Rong Cong
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Zhaowei Chen
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Sicong Wang
- Sicong Wang, Magnetic Resonance Imaging Research, General Electric Healthcare (China), Beijing 100176, China
| | - Xiaohong Ma
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
| | - Xinming Zhao
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
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Wang L, Cong R, Chen Z, Li D, Feng B, Liang M, Wang S, Ma X, Zhao X. Determination of prognostic predictors in patients with solitary hepatocellular carcinoma: histogram analysis of multiparametric MRI. Abdom Radiol (NY) 2023; 48:3362-3372. [PMID: 37561148 DOI: 10.1007/s00261-023-04015-8] [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: 05/27/2023] [Revised: 07/20/2023] [Accepted: 07/24/2023] [Indexed: 08/11/2023]
Abstract
PURPOSE To evaluate the histogram parameters of preoperative multiparametric magnetic resonance imaging (MRI) and clinical-radiological (CR) characteristics as prognostic predictors in patients with solitary hepatocellular carcinoma ≤ 5 cm and to determine the optimal time window for histogram analysis. METHODS We retrospectively included 151 patients who underwent preoperative MRI between January 2012 and December 2017. All patients were randomly separated into training and validation cohorts (n = 105 and 46). Eight whole-lesion histogram parameters were extracted from T2-weighted images, apparent diffusion coefficient maps, and dynamic contrast-enhanced images. Univariate and multivariate logistic regression analyses were performed to evaluate these histogram parameters and CR variables related to early recurrence (ER) and recurrence-free survival. A nomogram was derived from the clinical-radiological-histogram (CRH) model that incorporated these risk factors. Kaplan-Meier survival analysis was performed to evaluate the prognostic performance of the CRH model. RESULTS In total, 151 patients (male: female, 130: 21; median age, 54.46 ± 9.09 years) were evaluated. Multivariate logistic regression analysis revealed that the significant risk factors of ER were Mean Absolute Deviation and Minimum in the histogram analysis of the delayed phase images, as well as three important CR variables: albumin-bilirubin grade, microvascular invasion, and tumor size. The nomogram built by incorporating these risk factors showed satisfactory predictive ability in the training and validation cohorts with AUC values of 0.747 and 0.765, respectively. Furthermore, the prognostic nomogram can effectively classify patients into high- and low-risk groups (p < 0.05). CONCLUSION Multiparametric MRI-derived histogram parameters provide additional value in predicting patient prognosis. The CRH model may be a useful and noninvasive method for achieving prognostic stratification and personalized disease management.
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Affiliation(s)
- Leyao Wang
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Rong Cong
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Zhaowei Chen
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Dengfeng Li
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Bing Feng
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Meng Liang
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Sicong Wang
- Magnetic Resonance Imaging Research, General Electric Healthcare (China), Beijing, 100176, China
| | - Xiaohong Ma
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
| | - Xinming Zhao
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
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Jing F, Liu Y, Zhao X, Wang N, Dai M, Chen X, Zhang Z, Zhang J, Wang J, Wang Y. Baseline 18F-FDG PET/CT radiomics for prognosis prediction in diffuse large B cell lymphoma. EJNMMI Res 2023; 13:92. [PMID: 37884763 PMCID: PMC10603012 DOI: 10.1186/s13550-023-01047-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 10/22/2023] [Indexed: 10/28/2023] Open
Abstract
BACKGROUND Diffuse large B-cell lymphoma (DLBCL) is the most common subtype of non-Hodgkin lymphoma in adults. Standard treatment includes chemoimmunotherapy with R-CHOP or similar regimens. Despite treatment advancements, many patients with DLBCL experience refractory disease or relapse. While baseline 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) parameters have shown promise in predicting survival, they may not fully capture lesion heterogeneity. This study aimed to assess the prognostic value of baseline 18F-FDG PET radiomics features in comparison with clinical factors and metabolic parameters for assessing 2-year progression-free survival (PFS) and 5-year overall survival (OS) in patients with DLBCL. RESULTS A total of 201 patients with DLBCL were enrolled in this study, and 1328 radiomics features were extracted. The radiomics signatures, clinical factors, and metabolic parameters showed significant prognostic value for individualized prognosis prediction in patients with DLBCL. Radiomics signatures showed the lowest Akaike information criterion (AIC) value and highest Harrell's concordance index (C-index) value in comparison with clinical factors and metabolic parameters for both PFS (AIC: 571.688 vs. 596.040 vs. 576.481; C-index: 0.732 vs. 0.658 vs. 0.702, respectively) and OS (AIC: 339.843 vs. 363.671 vs. 358.412; C-index: 0.759 vs. 0.667 vs. 0.659, respectively). Statistically significant differences were observed in the area under the curve (AUC) values between the radiomics signatures and clinical factors for both PFS (AUC: 0.768 vs. 0.681, P = 0.017) and OS (AUC: 0.767 vs. 0.667, P = 0.023). For OS, the AUC of the radiomics signatures were significantly higher than those of metabolic parameters (AUC: 0.767 vs. 0.688, P = 0.007). However, for PFS, no significant difference was observed between the radiomics signatures and metabolic parameters (AUC: 0.768 vs. 0.756, P = 0.654). The combined model and the best-performing individual model (radiomics signatures) alone showed no significant difference for both PFS (AUC: 0.784 vs. 0.768, P = 0.163) or OS (AUC: 0.772 vs. 0.767, P = 0.403). CONCLUSIONS Radiomics signatures derived from PET images showed the high predictive power for progression in patients with DLBCL. The combination of radiomics signatures, clinical factors, and metabolic parameters may not significantly improve predictive value beyond that of radiomics signatures alone.
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Affiliation(s)
- Fenglian Jing
- Department of Nuclear Medicine, The Fourth Hospital of Hebei Medical University, 12 Jiankang Road, Shijiazhuang, 050011, Hebei, China
- Hebei Provincial Key Laboratory of Tumor Microenvironment and Drug Resistance, Shijiazhuang, 050011, Hebei, China
| | - Yunuan Liu
- Department of Nuclear Medicine, The Fourth Hospital of Hebei Medical University, 12 Jiankang Road, Shijiazhuang, 050011, Hebei, China
- Hebei Provincial Key Laboratory of Tumor Microenvironment and Drug Resistance, Shijiazhuang, 050011, Hebei, China
| | - Xinming Zhao
- Department of Nuclear Medicine, The Fourth Hospital of Hebei Medical University, 12 Jiankang Road, Shijiazhuang, 050011, Hebei, China.
- Hebei Provincial Key Laboratory of Tumor Microenvironment and Drug Resistance, Shijiazhuang, 050011, Hebei, China.
| | - Na Wang
- Department of Nuclear Medicine, The Fourth Hospital of Hebei Medical University, 12 Jiankang Road, Shijiazhuang, 050011, Hebei, China
- Hebei Provincial Key Laboratory of Tumor Microenvironment and Drug Resistance, Shijiazhuang, 050011, Hebei, China
| | - Meng Dai
- Department of Nuclear Medicine, The Fourth Hospital of Hebei Medical University, 12 Jiankang Road, Shijiazhuang, 050011, Hebei, China
- Hebei Provincial Key Laboratory of Tumor Microenvironment and Drug Resistance, Shijiazhuang, 050011, Hebei, China
| | - Xiaolin Chen
- Department of Nuclear Medicine, The Fourth Hospital of Hebei Medical University, 12 Jiankang Road, Shijiazhuang, 050011, Hebei, China
- Hebei Provincial Key Laboratory of Tumor Microenvironment and Drug Resistance, Shijiazhuang, 050011, Hebei, China
| | - Zhaoqi Zhang
- Department of Nuclear Medicine, The Fourth Hospital of Hebei Medical University, 12 Jiankang Road, Shijiazhuang, 050011, Hebei, China
- Hebei Provincial Key Laboratory of Tumor Microenvironment and Drug Resistance, Shijiazhuang, 050011, Hebei, China
| | - Jingmian Zhang
- Department of Nuclear Medicine, The Fourth Hospital of Hebei Medical University, 12 Jiankang Road, Shijiazhuang, 050011, Hebei, China
- Hebei Provincial Key Laboratory of Tumor Microenvironment and Drug Resistance, Shijiazhuang, 050011, Hebei, China
| | - Jianfang Wang
- Department of Nuclear Medicine, The Fourth Hospital of Hebei Medical University, 12 Jiankang Road, Shijiazhuang, 050011, Hebei, China
- Hebei Provincial Key Laboratory of Tumor Microenvironment and Drug Resistance, Shijiazhuang, 050011, Hebei, China
| | - Yingchen Wang
- Department of Nuclear Medicine, The Fourth Hospital of Hebei Medical University, 12 Jiankang Road, Shijiazhuang, 050011, Hebei, China
- Hebei Provincial Key Laboratory of Tumor Microenvironment and Drug Resistance, Shijiazhuang, 050011, Hebei, China
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Zhao J, Zhang Q, Liu M, Zhao X. MRI-based radiomics approach for the prediction of recurrence-free survival in triple-negative breast cancer after breast-conserving surgery or mastectomy. Medicine (Baltimore) 2023; 102:e35646. [PMID: 37861556 PMCID: PMC10589522 DOI: 10.1097/md.0000000000035646] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 09/22/2023] [Indexed: 10/21/2023] Open
Abstract
To explore the value of a radiomics signature and develop a nomogram combined with a radiomics signature and clinical factors for predicting recurrence-free survival in triple-negative breast cancer patients. We enrolled 151 patients from the cancer imaging archive who underwent preoperative contrast-enhanced magnetic resonance imaging. They were assigned to training, validation and external validation cohorts. Image features with coefficients not equal to zero in the 10-fold cross-validation were selected to generate a radiomics signature. Based on the optimal cutoff value of the radiomics signature determined by maximally selected log-rank statistics, patients were stratified into high- and low-risk groups in the training and validation cohorts. Kaplan-Meier survival analysis was performed for both groups. Kaplan-Meier survival distributions in these groups were compared using log-rank tests. Univariate and multivariate Cox regression analyses were used to construct clinical and combined models. Concordance index was used to assess the predictive performance of the 3 models. Calibration of the combined model was assessed using calibration curves. Four image features were selected to generate the radiomics signature. The Kaplan-Meier survival distributions of patients in the 2 groups were significantly different in the training (P < .001) and validation cohorts (P = .001). The C-indices of the radiomics model, clinical model, and combined model in the training and validation cohorts were 0.772, 0.700, 0.878, and 0.744, 0.574, 0.777, respectively. The C-indices of the radiomics model, clinical model, and combined model in the external validation cohort were 0.778, 0.733, 0.822, respectively. The calibration curves of the combined model showed good calibration. The radiomics signature can predict recurrence-free survival of patients with triple-negative breast cancer and improve the predictive performance of the clinical model.
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Affiliation(s)
- Jingwei Zhao
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qi Zhang
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Muqing Liu
- Department of Radiology, Chaoyang Central Hospital, Chaoyang, China
| | - Xinming Zhao
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Xu Y, Li Z, Zhou Y, Yang Y, Ouyang J, Li L, Huang Z, Ye F, Ying J, Zhao H, Zhou J, Zhao X. Using immunovascular characteristics to predict very early recurrence and prognosis of resectable intrahepatic cholangiocarcinoma. BMC Cancer 2023; 23:1009. [PMID: 37858111 PMCID: PMC10588260 DOI: 10.1186/s12885-023-11476-z] [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] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 10/03/2023] [Indexed: 10/21/2023] Open
Abstract
OBJECTIVE To predict the very early recurrence (VER) of patients with intrahepatic cholangiocarcinoma (ICC) based on TLSs and MVI status, and further perform prognosis stratifications. METHODS A total of 160, 51 ICC patients from two institutions between May 2012 and July 2022 were retrospectively included as training, external validation cohort. Clinical, radiological and pathological variables were evaluated and collected. Univariate and multivariate analysis were applied to select the significant factors related to VER of ICC. The factors selected were combined to perform stratification of overall survival (OS) using the Kaplan-Meier method with the log-rank test. RESULTS Overall, 39 patients (24.4%) had VER, whereas 121 (75.6%) did not (non-VER group). In the training cohort, the median OS was 40.5 months (95% CIs: 33.2-47.7 months). The VER group showed significantly worse OS than the non-VER group (median OS: 14.8, 95% CI:11.6-18.0 months vs. 53.4, 34.3-72.6 months; p<0.001), and it was confirmed in the validation cohort (median OS: 22.1, 95% CI: 8.8-35.4 months vs. 40.1, 21.2-59.0 months; p = 0.003). According to the univariate analysis, four variables were significantly different between the VER group and non-VER group (TLSs status, p = 0.028; differentiation, p = 0.023; MVI status, p = 0.012; diameter, p = 0.028). According to the multivariate analysis, MVI-positive status was independently associated with a higher probability of VER (odds ratio [OR], 2.5; 95% CIs,1.16-5.18; p = 0.018), whereas intra-tumoral TLSs-positive status was associated with lower odds of VER (OR, 0.43; 95% CIs, 0.19-0.97; p = 0.041). Based on the TLSs and MVI status, patients of ICC were categorized into four groups: TLSs-positive and MVI-negative (TP/MN); TLSs-negative and MVI-negative (TN/MN); TLSs-positive and MVI-positive (TP/MP), TLSs-negative and MVI-positive groups (TN/MP). In the training cohort, the four groups could be correlated with OS significantly (p<0.001), and it was confirmed in the validation cohort (p<0.001). CONCLUSION Intra-tumoral TLSs and MVI status are independent predictive factors of VER after surgery, based on which immunovascular stratifications are constructed and associated with OS significantly of resectable intrahepatic cholangiocarcinoma.
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Affiliation(s)
- Ying Xu
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhuo Li
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yanzhao Zhou
- Department of Hepatobiliary and Pancreatic Surgery, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, China
| | - Yi Yang
- Department of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Key Laboratory of Gene Editing Screening and Research and Development (R&D) of Digestive System Tumor Drugs, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jingzhong Ouyang
- Department of Hepatobiliary and Pancreatic Surgery, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, China
| | - Lu Li
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhen Huang
- Department of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Key Laboratory of Gene Editing Screening and Research and Development (R&D) of Digestive System Tumor Drugs, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Feng Ye
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Jianming Ying
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
- Key Laboratory of Gene Editing Screening and Research and Development (R&D) of Digestive System Tumor Drugs, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Hong Zhao
- Department of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
- Key Laboratory of Gene Editing Screening and Research and Development (R&D) of Digestive System Tumor Drugs, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Jinxue Zhou
- Department of Hepatobiliary and Pancreatic Surgery, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, China.
| | - Xinming Zhao
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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Xu Y, Li Z, Yang Y, Li L, Zhou Y, Ouyang J, Huang Z, Wang S, Xie L, Ye F, Zhou J, Ying J, Zhao H, Zhao X. A CT-based radiomics approach to predict intra-tumoral tertiary lymphoid structures and recurrence of intrahepatic cholangiocarcinoma. Insights Imaging 2023; 14:173. [PMID: 37840098 PMCID: PMC10577112 DOI: 10.1186/s13244-023-01527-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 09/13/2023] [Indexed: 10/17/2023] Open
Abstract
PURPOSE To predict the tertiary lymphoid structures (TLSs) status and recurrence-free survival (RFS) of intrahepatic cholangiocarcinoma (ICC) patients using preoperative CT radiomics. PATIENTS AND METHODS A total of 116 ICC patients were included (training: 86; external validation: 30). The enhanced CT images were performed for the radiomics model. The logistic regression analysis was applied for the clinical model. The combined model was based on the clinical and radiomics models. RESULTS A total of 107 radiomics features were extracted, and after being eliminated and selected, six features were combined to establish a radiomics model for TLSs prediction. Arterial phase diffuse hyperenhancement and AJCC 8th stage were combined to construct a clinical model. The combined (radiomics nomogram) model outperformed both the independent radiomics model and clinical model in the training cohort (AUC, 0.85 vs. 0.82 and 0.75, respectively) and was validated in the external validation cohort (AUC, 0.88 vs. 0.86 and 0.71, respectively). Patients in the rad-score no less than -0.76 (low-risk) group showed significantly better RFS than those in the less than -0.76 (high-risk) group (p < 0.001, C-index = 0.678). Patients in the nomogram score no less than -1.16 (low-risk) group showed significantly better RFS than those of the less than -1.16 (high-risk) group (p < 0.001, C-index = 0.723). CONCLUSIONS CT radiomics nomogram could serve as a preoperative biomarker of intra-tumoral TLSs status, better than independent radiomics or clinical models; preoperative CT radiomics nomogram achieved accurate stratification for RFS of ICC patients, better than the postoperative pathologic TLSs status. CRITICAL RELEVANCE STATEMENT The radiomics nomogram showed better performance in predicting TLSs than independent radiomics or clinical models and better prognosis stratification than postoperative pathologic TLSs status in ICC patients, which may facilitate identifying patients benefiting most from surgery and subsequent immunotherapy. KEY POINTS • The combined (radiomics nomogram) model consisted of the radiomics model and clinical model (arterial phase diffuse hyperenhancement and AJCC 8th stage). • The radiomics nomogram showed better performance in predicting TLSs than independent radiomics or clinical models in ICC patients. • Preoperative CT radiomics nomogram achieved more accurate stratification for RFS of ICC patients than the postoperative pathologic TLSs status.
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Affiliation(s)
- Ying Xu
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhuo Li
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yi Yang
- Department of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Key Laboratory of Gene Editing Screening and Research and Development (R&D) of Digestive System Tumor Drugs, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lu Li
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yanzhao Zhou
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Jingzhong Ouyang
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Zhen Huang
- Department of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Key Laboratory of Gene Editing Screening and Research and Development (R&D) of Digestive System Tumor Drugs, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Sicong Wang
- Magnetic Resonance Imaging Research, General Electric Healthcare, Beijing, China
| | - Lizhi Xie
- Magnetic Resonance Imaging Research, General Electric Healthcare, Beijing, China
| | - Feng Ye
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Jinxue Zhou
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, Henan, China.
| | - Jianming Ying
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
- Department of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Hong Zhao
- Department of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
- Key Laboratory of Gene Editing Screening and Research and Development (R&D) of Digestive System Tumor Drugs, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Xinming Zhao
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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Xie X, Song Y, Ye F, Wang S, Yan H, Zhao X, Dai J. Prior information guided auto-segmentation of clinical target volume of tumor bed in postoperative breast cancer radiotherapy. Radiat Oncol 2023; 18:170. [PMID: 37840132 PMCID: PMC10577969 DOI: 10.1186/s13014-023-02355-9] [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] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 09/25/2023] [Indexed: 10/17/2023] Open
Abstract
BACKGROUND Accurate delineation of clinical target volume of tumor bed (CTV-TB) is important but it is also challenging due to surgical effects and soft tissue contrast. Recently a few auto-segmentation methods were developed to improve the process. However, those methods had comparatively low segmentation accuracy. In this study the prior information was introduced to aid auto-segmentation of CTV-TB based on a deep-learning model. METHODS To aid the delineation of CTV-TB, the tumor contour on preoperative CT was transformed onto postoperative CT via deformable image registration. Both original and transformed tumor contours were used for prior information in training an auto-segmentation model. Then, the CTV-TB contour on postoperative CT was predicted by the model. 110 pairs of preoperative and postoperative CT images were used with a 5-fold cross-validation strategy. The predicted contour was compared with the clinically approved contour for accuracy evaluation using dice similarity coefficient (DSC) and Hausdorff distance. RESULTS The average DSC of the deep-learning model with prior information was improved than the one without prior information (0.808 vs. 0.734, P < 0.05). The average DSC of the deep-learning model with prior information was higher than that of the traditional method (0.808 vs. 0.622, P < 0.05). CONCLUSIONS The introduction of prior information in deep-learning model can improve segmentation accuracy of CTV-TB. The proposed method provided an effective way to automatically delineate CTV-TB in postoperative breast cancer radiotherapy.
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Affiliation(s)
- Xin Xie
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No 17, Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
- Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, No 420, Fuma Road, Jinan District, Fuzhou, 350011, China
| | - Yuchun Song
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No 17, Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Feng Ye
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No 17, Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Shulian Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No 17, Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Hui Yan
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No 17, Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
| | - Xinming Zhao
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No 17, Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
| | - Jianrong Dai
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No 17, Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
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Xu M, Chen R, Xing P, Kong Y, Zhang J, Zhao X, Zhang L. An Innovative Regimen Basing on HFRT/SBRT and RC48-ADC Coactivation for Salvage Therapy in Patients with HER2-Expressing Advanced Solid Tumors. Int J Radiat Oncol Biol Phys 2023; 117:e158. [PMID: 37784749 DOI: 10.1016/j.ijrobp.2023.06.985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) It is now widely accepted that radiotherapy, especially hypofractionated radiation therapy (HFRT) or stereotactic radiotherapy (SBRT), can modulate tumor phenotypes, enhance antigen presentation and provoke a systemic immune response which gives a strong rationale for the combination of RT and immunotherapy (iRT). The PRaG therapy is an innovative iRT, when combined with HFRT/SBRT, PD-1/L1 inhibitor and GM-CSF to activate the immune response and modulate the tumor microenvironment to exert the desired in abscopal effect. Previous studies have demonstrated encouraging efficacy of the PRaG regimen in the treatment of advanced refractory tumors. RC48-ADC is a promising anti-HER2 antibody-drug conjugate with inducing immunogenic cell death and widespread release of cancer cell antigens, synergize with immunotherapy by promoting effector T-cell activation. The aim of this study is to explore efficacy and safety of RC48-ADC combined with radiotherapy, PD-1/L1 inhibitor sequential GM-CSF and IL-2(PRaG3.0 regimen) for treatment of HER2-expressing advanced solid tumors. MATERIALS/METHODS Participants with advanced, confirmed HER2-expressing (IHC3+, 2+ or 1+) solid tumors that had progressed after standard treatment, or intolerance were enrolled. In a PRaG3.0 regimen cycle, those received RC48-ADC (2.0 mg/kg d1, every 3 weeks), then HFRT (2-3 doses of 5-8 Gy) was delivered for one metastatic lesion every other day, followed by GM-CSF (200 μg d3-7), sequential IL-2(2million IU d8-12), and PD-1/L1 inhibitor was dosing within one week after completion of HFRT. After RC48-ADC combined with PD-1/L1 inhibitor sequential GM-CSF and IL-2 for at least 6 cycles, then maintenance with PD-1/L1 inhibitor was administered until disease progression or unacceptable toxicity. The primary endpoint was objective response rate (ORR). This trial is registered with ClinicalTrials.gov, number NCT05115500. RESULTS With the cutoff date of 31 December 2022, a total of 30 patients (n = 6 for gynecological cancer, n = 5 for pancreatic cancer, n = 19 for other cancers) were enrolled, in which 21 patients completed at least 1 tumor assessment. The objective response rate (ORR) was 42.9%, and the disease control rate was 71.4% by RECIST1.1. The ORR was 66.7% in gynecological cancer, 25.3% in pancreatic cancer, and 36.4% in other cancers. Median progression-free survival (PFS) for all patients was 7.0 months (95% CI: 3.4, 10.7). The most common treatment-related adverse events (TRAEs) included fatigue, fever, alopecia and anorexia. Grade ≥3 TRAEs occurred in two patients (6.7%). CONCLUSION These preliminary results show that of PRaG3.0 regimen has a manageable safety profile and encouraging antitumor activity in heavily pretreated patients with HER2- expressing cancers. Ultimately the regimen achieved the accurate integration of RT, immunotherapy and targeted therapy.
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Affiliation(s)
- M Xu
- Institution of Radiotherapy & Oncology, Soochow University, Suzhou, China, Suzhou, China; Laboratory for Combined Radiotherapy and Immunotherapy of Cancer, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - R Chen
- The Second Affiliated Hospital of Soochow University, Suzhou, China; Institute of Radiation Oncology, Soochow University, Suzhou, China
| | - P Xing
- Department of Radiotherapy & Oncology, The Second Affiliated Hospital of Soochow University; Institute of Radiotherapy & Oncology, Soochow University; Suzhou Key Laboratory for Radiation Oncology, Suzhou, China
| | - Y Kong
- Department of Radiotherapy& Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - J Zhang
- Department of Radiotherapy & Oncology, The Second Affiliated Hospital of Soochow University; Institute of Radiotherapy & Oncology, Soochow University; Suzhou Key Laboratory for Radiation Oncology, Suzhou, China; Suzhou Radiotherapy Clinical Medical Center, Suzhou, China
| | - X Zhao
- Department of Radiotherapy& Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - L Zhang
- Institute of Radiotherapy & Oncology, Soochow University, Suzhou, China
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Zhao X, Li C, Yang H, Wei H, Li Y. Antibacterial Activity of a Lysin LysP53 against Streptococcus mutans. J Dent Res 2023; 102:1231-1240. [PMID: 37698342 DOI: 10.1177/00220345231182675] [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] [Indexed: 09/13/2023] Open
Abstract
Dental caries is a common disease affecting quality of life globally. In the present study, we found that a bacteriophage lysin LysP53 against Acinetobacter baumannii possesses selective activity on Streptococcus mutans, the main etiological agent of dental caries, even in low pH caries microenvironments, whereas only minor LysP53 activity was detected against Streptococcus sanguinis, Streptococcus oralis, and Streptococcus mitis. Testing activity against S. mutans planktonic cells showed that 4 μM LysP53 could kill more than 84% of S. mutans within 1 min in buffer with optimal pHs ranging from 4.0 to 6.5. Daily application of LysP53 on biofilms formed in BHI medium supplemented or not with sucrose could reduce exopolysaccharides, expression of genes related to acid resistance and adhesion, and the number of live bacteria in the biofilms. LysP53 treatment also showed similar effects as 0.12% chlorhexidine in preventing enamel demineralization due to S. mutans biofilms, as well as effective removal of S. mutans colonization of tooth surfaces in mice without observed toxic effects. Because of its selective activity against main cariogenic bacteria and good activity in low pH caries microenvironments, it is advantageous to use LysP53 as an active agent for preventing caries.
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Affiliation(s)
- X Zhao
- The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine, Ministry of Education, School of Stomatology, Wuhan University, Wuhan, Hubei, China
| | - C Li
- CAS Key Laboratory of Special Pathogens and Biosafety, Center for Emerging Infectious Diseases, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, China
- University of Chinese Academy of Sciences, Beijing, China
| | - H Yang
- CAS Key Laboratory of Special Pathogens and Biosafety, Center for Emerging Infectious Diseases, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, China
- University of Chinese Academy of Sciences, Beijing, China
| | - H Wei
- CAS Key Laboratory of Special Pathogens and Biosafety, Center for Emerging Infectious Diseases, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Y Li
- The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine, Ministry of Education, School of Stomatology, Wuhan University, Wuhan, Hubei, China
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Cordero T, Beagen PL, Daly ME, Monjazeb AM, Zhao X. 3D Surface Imaging in Reducing Setup Error for Prone Whole Breast Radiotherapy. Int J Radiat Oncol Biol Phys 2023; 117:e172. [PMID: 37784782 DOI: 10.1016/j.ijrobp.2023.06.1014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) For patients undergoing whole breast radiotherapy, treatment in the prone position allows for reduced dose to critical organs such as the heart and lungs. However, this treatment position comes with greater challenges in reproducibility and setup error given the unstable position. Our objective was to investigate the benefit of using 3D surface imaging to reduce daily setup errors for these patients. MATERIALS/METHODS We performed a retrospective review of consecutive breast patients receiving prone breast radiotherapy at our institution. All patients were positioned initially using setup tattoos and twice a week, the positioning was adjusted using the aid of a motion tracking system. Then, a daily kilovoltage (kV) cone beam computed tomography (CBCT) image was acquired and positioning was adjusted to setup the breast and chest wall. Shifts in each translational direction were recorded and the three-dimensional vector displacement was calculated. For each patient the average displacements on days where a motion tracking system was used were compared to days whereas motion tracking system was not used. Patients were classified into significant benefit (more than 4 mm improvement), small benefit (0-4 mm improvement) or increased error (increased shifts on days a motion tracking system was used). Patient demographics were collected including stage, BMI, weight, heigh, age, ethnicity. Comparisons were made using t-tests. RESULTS A total of 40 patients with stage T0-2N0 breast cancer were included. The median age was 64 and 60% of patients had left sided breast cancer. A total of 665 daily CBCT scans were analyzed, and the median daily vector displacement was 7.2 mm (1-21 mm). The median displacement on treatments where a motion tracking system was used (41% of treatments) was 6.1 mm versus 8.1 mm when not used (p<.0001). The use of a motion tracking system significantly reduced the occurrence of shifts more than 1 cm (12% vs. 33%, p < .0001) and 5 mm (65% vs. 83% p < .0001). For individual patients, 28% showed a significant improvement, 55% showed small improvement, 17% showed increased error. The median BMI was 27, weight was 71 kg, and neither was associated with an improvement in the use of Align RT (p > .05). However, patients in the small improvement group had a higher BMI than patients in the other two groups 29 vs. 25 (p = .01). A similar association was seen for weight (p < .05). No association was found for the benefit of a motion tracking system for height, age, stage or ethnicity. CONCLUSION The use of 3D surface imaging for breast cancer patients receiving prone whole breast radiotherapy on average significantly reduced setup errors. For patients with higher BMI there was a consistent small reduction in setup error when compared to using setup marks alone. For patients with lower BMI, caution should be exercised as there was more variation with some patients demonstrating a large benefit and other patients having an increased setup error with the use of surface imaging. Further research is needed to investigate on the optimal use of this technology.
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Affiliation(s)
- T Cordero
- University of California Los Angeles, Los Angeles, CA
| | - P L Beagen
- UC Davis Comprehensive Cancer Center, Sacramento, CA, United States
| | - M E Daly
- University of California Davis Comprehensive Cancer Center, Sacramento, CA
| | - A M Monjazeb
- University of California Davis Comprehensive Cancer Center, Sacramento, CA
| | - X Zhao
- University of California Davis Comprehensive Cancer Center, Sacramento, CA
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Xing P, Yang J, Xu M, Kong Y, Zhang J, Zhao X, Zhang L. A Prospective Clinical Trial of Radiotherapy Combined with PD-1 Inhibitors and GM-CSF, Sequentially Followed by IL-2 (PRaG 2.0) Regimen in Advanced Refractory Solid Tumors. Int J Radiat Oncol Biol Phys 2023; 117:e157-e158. [PMID: 37784748 DOI: 10.1016/j.ijrobp.2023.06.984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Radiotherapy could stimulate the immune response and might synergize with PD-1/PD-L1 inhibitors in the clinical treatment of malignancies. Our previous PRaG trial also demonstrated that SBRT/HFRT in combination with PD-1 inhibitors and granulocyte macrophage-colony stimulating factor (GM-CSF) could improve clinical response in patients with advanced refractory solid tumors (ChiCTR1900026175). To further improve the efficacy of immunotherapy combined with radiotherapy, we conducted the PRaG 2.0 trial (ClinicalTrials.gov: NCT04892498) and optimized the PRaG regimen by adding interleukin-2 (IL-2). Preliminary results of PRaG 2.0 had been reported in the 64th ASTRO. Now we report an updated result. MATERIALS/METHODS The PRaG 2.0 regimen was administered to patients with advanced refractory solid tumors who lacked or were unable to tolerate standard-of-care treatments. A treatment cycle consisted of SBRT or HFRT (5 or 8 Gy×2-3f) delivered for one metastatic lesion, PD-1 inhibitor dosing within one week after completion of radiotherapy, GM-CSF 200μg subcutaneous (SC) injection once daily for 7 days, and then sequentially followed by IL-2 2million IU SC once daily for 7 days. PRaG 2.0 regimen was repeated every 21 days for at least 2 cycles until no appropriate lesions for irradiation or reached the tolerance dose of normal tissues. Patients who could not continue radiotherapy and had not yet developed progression disease (PD) allowed PD-1 inhibitors to be continued as maintenance therapy until PD or unacceptable toxicity but no more than one year. The primary endpoint was Progression-Free Survival (PFS). RESULTS As of 31st October 2022, 51 patients were enrolled in the study, and 42 completed at least one tumor assessment. The median Progression-Free Survival (PFS) was 5.8 months, and the median overall survival (OS) was 13.5 months. The objective response rate (ORR) was 21.4%, and the disease control rate (DCR) was 61.9% according to RECIST version 1.1. Lower plasma levels of Interleukin (IL)-6 and IL-17 at baseline were found to be associated with improved PFS. Treatment-related adverse events (TRAE) occurred in 34 of 42 (78.6%) patients, Grade ≥ 3 TRAEs occurred in 4 patients (9.5%). TRAEs leading to discontinuation of all study treatments occurred in three patients (7.1%). CONCLUSION The PRaG 2.0 trial demonstrates that PD-1 inhibitors in combination with SBRT/HFRT, GM-CSF, and IL-2 could be a potential treatment regimen for patients with advanced refractory solid tumors, with an acceptable benefit/risk profile.
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Affiliation(s)
- P Xing
- Department of Radiotherapy & Oncology, The Second Affiliated Hospital of Soochow University; Institute of Radiotherapy & Oncology, Soochow University; Suzhou Key Laboratory for Radiation Oncology, Suzhou, China
| | - J Yang
- Department of Radiotherapy & Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - M Xu
- Department of Radiotherapy & Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Y Kong
- Department of Radiotherapy & Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - J Zhang
- Department of Radiotherapy & Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - X Zhao
- Department of Radiotherapy & Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - L Zhang
- Department of Radiotherapy & Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China
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Liang WR, Kang R, Zhao X, Zhang L, Jing LP, Yang WR, Li Y, Ye L, Zhou K, Li JP, Fan HH, Yang Y, Xiong YZ, Zhang FK. [Clinical characteristics of aplastic anemia patients with abnormal autoantibodies and the impact of autoantibodies on immunosuppressive therapy response]. Zhonghua Nei Ke Za Zhi 2023; 62:1200-1208. [PMID: 37766439 DOI: 10.3760/cma.j.cn112138-20230201-00045] [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: 09/29/2023]
Abstract
Objective: To investigate the clinical characteristics of patients with acquired aplastic anemia (AA) accompanied by abnormal antinuclear antibody (ANA) and autoantibodies and their effects on the efficacy of immunosuppressive therapy (IST). Method: A retrospective case-control study was conducted, analyzing the clinical data of 291 patients with AA who underwent IST and were screened for autoantibodies at initial diagnosis between January 2018 and December 2019 at Blood Diseases Hospital, Chinese Academy of Medical Sciences. According to the titer of ANA at the initial diagnosis, extracted nuclear antigen antibodies (ENAs) abnormality and the change of ANA titer after treatment, the treatment responses of 3 months and 6 months after IST were compared. The correlation between clinical features and ANA abnormality was analyzed by univariate and multivariate logistic regression analysis. The parameters of univariate analysis P<0.1 were included in multivariate analysis, stepwise regression analysis and subgroup analysis. Results: A total of 291 patients were included in the study, of which 145 (49.83%) were male. Among all patients, 147 (50.52%) tested positive for ANA at initial diagnosis, with titers of 1∶100, 1∶320, and 1∶1 000 observed in 94, 47, and 6 cases, respectively. Female gender, older age, presence of paroxysmal nocturnal hemoglobinuria (PNH) clone, and higher levels of IgG, IgA, and thyroid hormone were significantly associated with ANA positivity at initial diagnosis, while white cell counts, reticulocytes, and free triiodothyronine were significantly lower than that of ANA-negatively patients (all P<0.05). Furthermore, logistic regression analyses revealed that female gender (OR=1.980, 95%CI 1.206-3.277), older age (OR=1.017, 95%CI 1.003-1.032), and presence of PNH clone (OR=1.875, 95%CI 1.049-3.408) were independent risk factors for ANA positivity at initial diagnosis. Subgroup analysis indicated that the risk of ANA positivity at initial diagnosis was even higher in PNH clone-positive patients in the subgroups of females (OR=1.24, 95%CI 1.02-1.51), severe AA (OR=1.26, 95%CI 1.07-1.47), and age≥40 years (OR=1.26, 95%CI 1.05-1.52) (all P<0.05). However, ANA titers at initial diagnosis, presence of other abnormal ENAs, and changes in ANA titers after treatment with IST were not correlated with treatment response (all P>0.05). Conclusions: Approximately 50% of patients with AA had abnormal ANA, and their presence was significantly associated with female gender, older age, and presence of PNH clone at initial diagnosis. However, the presence of abnormal ANA and changes in ANA titers after treatment did not affect the efficacy of IST in patients with AA.
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Affiliation(s)
- W R Liang
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - R Kang
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - X Zhao
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - L Zhang
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - L P Jing
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - W R Yang
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - Y Li
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - L Ye
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - K Zhou
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - J P Li
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - H H Fan
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - Y Yang
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - Y Z Xiong
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - F K Zhang
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
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Zhao X, Fang H, Jing H, Zhang N, Zhang J, Jin J, Zhong Q, Yang WF, Zhong Y, Dong L, Tie J, Wu HF, Wang XH, Lu Y, Hou X, Zhao L, Qi S, Song Y, Liu Y, Tang Y, Lu N, Chen B, Tang Y, Li Y, Wang S. Lymphocyte Count Kinetics and the Effect of Different Radiotherapy Techniques on Radiation-Induced Lymphopenia in Patients with Breast Cancer Receiving Hypofractionated Postmastectomy Radiotherapy. Int J Radiat Oncol Biol Phys 2023; 117:e216-e217. [PMID: 37784888 DOI: 10.1016/j.ijrobp.2023.06.1112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Radiation-induced lymphopenia (RIL) is associated with poor prognosis in solid tumors. This study aimed to describe the lymphocyte kinetics in patients with breast cancer receiving hypofractionated postmastectomy radiotherapy (RT) and to investigate the association of different RT techniques with RIL. MATERIALS/METHODS We assessed 607 patients who received hypofractionated postmastectomy RT for breast cancer in our prospective clinical database from 8 hospitals. All patients received irradiation to the chest wall and supraclavicular fossa. RT techniques included integrated RT with the photon-based intensity modulated techniques to irradiate all target volumes (integrated RT) and a hybrid approach combining photon irradiation to supraclavicular nodes and electron irradiation to the chest wall (hybrid RT). Peripheral lymphocyte counts (PLC) were tested prior to RT (baseline), weekly during RT, at 1, 2 weeks, 3, 6 months after RT, and then every 6 months. Grade 3+ RIL was defined as PLC nadir during RT of <0.5 ×103/ml. Mean PLC was compared by the t test. Univariate, multivariate, and propensity score matching (PSM) analyses were used to evaluate the effect of different RT techniques on grade 3+ RIL. RESULTS During RT, 121 (19.9%) of patients had grade 3+ RIL. The PLC started to recover at 1 week and reached baseline levels 1 year after RT. A greater proportion of the patients treated with the integrated RT (90/269, 33.5%) developed grade 3+ PLC compared with those receiving hybrid RT (31/338, 9.2%, P < 0.001). After conducting PSM, multivariate analyses showed lower baseline PLC (HR = 0.15, P<0.001) and RT technique (the integrated RT vs. hybrid RT, HR = 4.76, P<0.001) were independent risk factors for grade 3+ RIL. The PLC in patients receiving the integrated RT after RT were higher than that in those receiving hybrid RT (p<0.05). CONCLUSION RT technique affect the risk of and recovery from RIL, which may impact survival. Choosing appropriate RT technique to minimize RIL might be considered to benefit their outcomes.
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Affiliation(s)
- X Zhao
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - H Fang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - H Jing
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - N Zhang
- Department of Radiation Oncology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, China
| | - J Zhang
- Department of Radiation Oncology, Forth Hospital of Hebei Medical University, Shijiazhuang, China
| | - J Jin
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Q Zhong
- Department of Radiation Oncology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - W F Yang
- Department of Radiation Oncology, Affiliated Taizhou hospital of Wenzhou Medical University, Taizhou, China
| | - Y Zhong
- Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - L Dong
- Department of Radiation Oncology, The First Hospital, Jilin University, Changchun, China
| | - J Tie
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - H F Wu
- Department of Radiation Oncology, Jilin Cancer Hospital, Changchun, China
| | - X H Wang
- Department of Radiochemotherapy, People's Hospital of Tangshan City, Tangshan, China
| | - Y Lu
- Department of Radiation Oncology, Cancer Hospital of Henan Province, Zhengzhou, Henan, China
| | - X Hou
- Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of medical Sciences & Peking Union Medical College, Beijing, China
| | - L Zhao
- Department of Radiation Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - S Qi
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Y Song
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Y Liu
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Y Tang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - N Lu
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - B Chen
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Y Tang
- GCP center/Clinical research center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Y Li
- Department of Radiation Oncology, National Cancer Center/ National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - S Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Zhao X, Chen Q. [The official-private game of ginseng trade between China and Korea in modern times]. Zhonghua Yi Shi Za Zhi 2023; 53:277-285. [PMID: 37935510 DOI: 10.3760/cma.j.cn112155-20220208-00013] [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: 11/09/2023]
Abstract
As culturally friendly countries, China and the Korean Peninsula have had active medical exchanges throughout history, which had a significant impact on the traditional medicine industry and daily life of both sides. Ginseng is an important commodity in the drug trade between China and Korea, and its profits are lucrative and an important source of fiscal revenue for the Korean government.In modern times, lured by huge profits, some Korean and Chinese businessmen have engaged in ginseng smuggling, even government officials.In order to safeguard the interests of the official camp, the two governments have always severely punished smuggling, but ginseng smuggling has not disappeared, and the game between official and private ginseng has become a unique phenomenon in the medical exchanges between China and Korea.
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Affiliation(s)
- X Zhao
- School of Health Humanities, Peking University,Beijing 100191,China
| | - Q Chen
- School of Health Humanities, Peking University,Beijing 100191,China
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50
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Abe K, Akhlaq N, Akutsu R, Ali A, Alonso Monsalve S, Alt C, Andreopoulos C, Antonova M, Aoki S, Arihara T, Asada Y, Ashida Y, Atkin ET, Barbi M, Barker GJ, Barr G, Barrow D, Batkiewicz-Kwasniak M, Bench F, Berardi V, Berns L, Bhadra S, Blanchet A, Blondel A, Bolognesi S, Bonus T, Bordoni S, Boyd SB, Bravar A, Bronner C, Bron S, Bubak A, Buizza Avanzini M, Caballero JA, Calabria NF, Cao S, Carabadjac D, Carter AJ, Cartwright SL, Catanesi MG, Cervera A, Chakrani J, Cherdack D, Chong PS, Christodoulou G, Chvirova A, Cicerchia M, Coleman J, Collazuol G, Cook L, Cudd A, Dalmazzone C, Daret T, Davydov YI, De Roeck A, De Rosa G, Dealtry T, Delogu CC, Densham C, Dergacheva A, Di Lodovico F, Dolan S, Douqa D, Doyle TA, Drapier O, Dumarchez J, Dunne P, Dygnarowicz K, Eguchi A, Emery-Schrenk S, Erofeev G, Ershova A, Eurin G, Fedorova D, Fedotov S, Feltre M, Finch AJ, Fiorentini Aguirre GA, Fiorillo G, Fitton MD, Franco Patiño JM, Friend M, Fujii Y, Fukuda Y, Fusshoeller K, Giannessi L, Giganti C, Glagolev V, Gonin M, González Rosa J, Goodman EAG, Gorin A, Grassi M, Guigue M, Hadley DR, Haigh JT, Hamacher-Baumann P, Harris DA, Hartz M, Hasegawa T, Hassani S, Hastings NC, Hayato Y, Henaff D, Hiramoto A, Hogan M, Holeczek J, Holin A, Holvey T, Hong Van NT, Honjo T, Iacob F, Ichikawa AK, Ikeda M, Ishida T, Ishitsuka M, Israel HT, Iwamoto K, Izmaylov A, Izumi N, Jakkapu M, Jamieson B, Jenkins SJ, Jesús-Valls C, Jiang JJ, Jonsson P, Joshi S, Jung CK, Jurj PB, Kabirnezhad M, Kaboth AC, Kajita T, Kakuno H, Kameda J, Kasetti SP, Kataoka Y, Katayama Y, Katori T, Kawaue M, Kearns E, Khabibullin M, Khotjantsev A, Kikawa T, Kikutani H, King S, Kiseeva V, Kisiel J, Kobata T, Kobayashi H, Kobayashi T, Koch L, Kodama S, Konaka A, Kormos LL, Koshio Y, Kostin A, Koto T, Kowalik K, Kudenko Y, Kudo Y, Kuribayashi S, Kurjata R, Kutter T, Kuze M, La Commara M, Labarga L, Lachner K, Lagoda J, Lakshmi SM, Lamers James M, Lamoureux M, Langella A, Laporte JF, Last D, Latham N, Laveder M, Lavitola L, Lawe M, Lee Y, Lin C, Lin SK, Litchfield RP, Liu SL, Li W, Longhin A, Long KR, Lopez Moreno A, Ludovici L, Lu X, Lux T, Machado LN, Magaletti L, Mahn K, Malek M, Mandal M, Manly S, Marino AD, Marti-Magro L, Martin DGR, Martini M, Martin JF, Maruyama T, Matsubara T, Matveev V, Mauger C, Mavrokoridis K, Mazzucato E, McCauley N, McElwee J, McFarland KS, McGrew C, McKean J, Mefodiev A, Megias GD, Mehta P, Mellet L, Metelko C, Mezzetto M, Miller E, Minamino A, Mineev O, Mine S, Miura M, Molina Bueno L, Moriyama S, Moriyama S, Morrison P, Mueller TA, Munford D, Munteanu L, Nagai K, Nagai Y, Nakadaira T, Nakagiri K, Nakahata M, Nakajima Y, Nakamura A, Nakamura H, Nakamura K, Nakamura KD, Nakano Y, Nakayama S, Nakaya T, Nakayoshi K, Naseby CER, Ngoc TV, Nguyen VQ, Niewczas K, Nishimori S, Nishimura Y, Nishizaki K, Nosek T, Nova F, Novella P, Nugent JC, O’Keeffe HM, O’Sullivan L, Odagawa T, Ogawa T, Okada R, Okinaga W, Okumura K, Okusawa T, Ospina N, Owen RA, Oyama Y, Palladino V, Paolone V, Pari M, Parlone J, Parsa S, Pasternak J, Pavin M, Payne D, Penn GC, Pershey D, Pickering L, Pidcott C, Pintaudi G, Pistillo C, Popov B, Porwit K, Posiadala-Zezula M, Prabhu YS, Pupilli F, Quilain B, Radermacher T, Radicioni E, Radics B, Ramírez MA, Ratoff PN, Reh M, Riccio C, Rondio E, Roth S, Roy N, Rubbia A, Ruggeri AC, Ruggles CA, Rychter A, Sakashita K, Sánchez F, Santucci G, Schloesser CM, Scholberg K, Scott M, Seiya Y, Sekiguchi T, Sekiya H, Sgalaberna D, Shaikhiev A, Shaker F, Shaykina A, Shiozawa M, Shorrock W, Shvartsman A, Skrobova N, Skwarczynski K, Smyczek D, Smy M, Sobczyk JT, Sobel H, Soler FJP, Sonoda Y, Speers AJ, Spina R, Suslov IA, Suvorov S, Suzuki A, Suzuki SY, Suzuki Y, Sztuc AA, Tada M, Tairafune S, Takayasu S, Takeda A, Takeuchi Y, Takifuji K, Tanaka HK, Tanihara Y, Tani M, Teklu A, Tereshchenko VV, Teshima N, Thamm N, Thompson LF, Toki W, Touramanis C, Towstego T, Tsui KM, Tsukamoto T, Tzanov M, Uchida Y, Vagins M, Vargas D, Varghese M, Vasseur G, Vilela C, Villa E, Vinning WGS, Virginet U, Vladisavljevic T, Wachala T, Walsh JG, Wang Y, Wan L, Wark D, Wascko MO, Weber A, Wendell R, Wilking MJ, Wilkinson C, Wilson JR, Wood K, Wret C, Xia J, Xu YH, Yamamoto K, Yamamoto T, Yanagisawa C, Yang G, Yano T, Yasutome K, Yershov N, Yevarouskaya U, Yokoyama M, Yoshimoto Y, Yoshimura N, Yu M, Zaki R, Zalewska A, Zalipska J, Zaremba K, Zarnecki G, Zhao X, Zhu T, Ziembicki M, Zimmerman ED, Zito M, Zsoldos S. Measurements of neutrino oscillation parameters from the T2K experiment using 3.6×1021 protons on target. Eur Phys J C Part Fields 2023; 83:782. [PMID: 37680254 PMCID: PMC10480298 DOI: 10.1140/epjc/s10052-023-11819-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 07/10/2023] [Indexed: 09/09/2023]
Abstract
The T2K experiment presents new measurements of neutrino oscillation parameters using 19.7 ( 16.3 ) × 10 20 protons on target (POT) in (anti-)neutrino mode at the far detector (FD). Compared to the previous analysis, an additional 4.7 × 10 20 POT neutrino data was collected at the FD. Significant improvements were made to the analysis methodology, with the near-detector analysis introducing new selections and using more than double the data. Additionally, this is the first T2K oscillation analysis to use NA61/SHINE data on a replica of the T2K target to tune the neutrino flux model, and the neutrino interaction model was improved to include new nuclear effects and calculations. Frequentist and Bayesian analyses are presented, including results on sin 2 θ 13 and the impact of priors on the δ CP measurement. Both analyses prefer the normal mass ordering and upper octant of sin 2 θ 23 with a nearly maximally CP-violating phase. Assuming the normal ordering and using the constraint on sin 2 θ 13 from reactors, sin 2 θ 23 = 0 . 561 - 0.032 + 0.021 using Feldman-Cousins corrected intervals, and Δ m 32 2 = 2 . 494 - 0.058 + 0.041 × 10 - 3 eV 2 using constant Δ χ 2 intervals. The CP-violating phase is constrained to δ CP = - 1 . 97 - 0.70 + 0.97 using Feldman-Cousins corrected intervals, and δ CP = 0 , π is excluded at more than 90% confidence level. A Jarlskog invariant of zero is excluded at more than 2 σ credible level using a flat prior in δ CP , and just below 2 σ using a flat prior in sin δ CP . When the external constraint on sin 2 θ 13 is removed, sin 2 θ 13 = 28 . 0 - 6.5 + 2.8 × 10 - 3 , in agreement with measurements from reactor experiments. These results are consistent with previous T2K analyses.
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Affiliation(s)
- K. Abe
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - N. Akhlaq
- School of Physics and Astronomy, Queen Mary University of London, London, UK
| | - R. Akutsu
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
| | - A. Ali
- TRIUMF, Vancouver, BC Canada
- Department of Physics, University of Winnipeg, Winnipeg, MB Canada
| | - S. Alonso Monsalve
- Institute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland
| | - C. Alt
- Institute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland
| | - C. Andreopoulos
- Department of Physics, University of Liverpool, Liverpool, UK
| | - M. Antonova
- IFIC (CSIC and University of Valencia), Valencia, Spain
| | - S. Aoki
- Kobe University, Kobe, Japan
| | - T. Arihara
- Department of Physics, Tokyo Metropolitan University, Tokyo, Japan
| | - Y. Asada
- Department of Physics, Yokohama National University, Yokohama, Japan
| | - Y. Ashida
- Department of Physics, Kyoto University, Kyoto, Japan
| | - E. T. Atkin
- Department of Physics, Imperial College London, London, UK
| | - M. Barbi
- Department of Physics, University of Regina, Regina, Saskatchewan Canada
| | - G. J. Barker
- Department of Physics, University of Warwick, Coventry, UK
| | - G. Barr
- Department of Physics, Oxford University, Oxford, UK
| | - D. Barrow
- Department of Physics, Oxford University, Oxford, UK
| | | | - F. Bench
- Department of Physics, University of Liverpool, Liverpool, UK
| | - V. Berardi
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, Bari, Italy
| | - L. Berns
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi Japan
| | - S. Bhadra
- Department of Physics and Astronomy, York University, Toronto, ON Canada
| | - A. Blanchet
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - A. Blondel
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - S. Bolognesi
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - T. Bonus
- Faculty of Physics and Astronomy, Wroclaw University, Wrocław, Poland
| | - S. Bordoni
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - S. B. Boyd
- Department of Physics, University of Warwick, Coventry, UK
| | - A. Bravar
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - C. Bronner
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - S. Bron
- TRIUMF, Vancouver, BC Canada
| | - A. Bubak
- Institute of Physics, University of Silesia, Katowice, Poland
| | - M. Buizza Avanzini
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
| | - J. A. Caballero
- Departamento de Física Atómica, Molecular y Nuclear, Universidad de Sevilla, 41080 Sevilla, Spain
| | - N. F. Calabria
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, Bari, Italy
| | - S. Cao
- Institute For Interdisciplinary Research in Science and Education (IFIRSE), ICISE, Quy Nhon, Vietnam
| | - D. Carabadjac
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
- Université Paris-Saclay, Gif-sur-Yvette, France
| | - A. J. Carter
- Department of Physics, Royal Holloway University of London, Egham, Surrey UK
| | - S. L. Cartwright
- Department of Physics and Astronomy, University of Sheffield, Sheffield, UK
| | - M. G. Catanesi
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, Bari, Italy
| | - A. Cervera
- IFIC (CSIC and University of Valencia), Valencia, Spain
| | - J. Chakrani
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
| | - D. Cherdack
- Department of Physics, University of Houston, Houston, TX USA
| | - P. S. Chong
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - G. Christodoulou
- CERN European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | - A. Chvirova
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - M. Cicerchia
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
- INFN-Laboratori Nazionali di Legnaro, Legnaro, Italy
| | - J. Coleman
- Department of Physics, University of Liverpool, Liverpool, UK
| | - G. Collazuol
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - L. Cook
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Department of Physics, Oxford University, Oxford, UK
| | - A. Cudd
- Department of Physics, University of Colorado at Boulder, Boulder, CO USA
| | - C. Dalmazzone
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - T. Daret
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - Yu. I. Davydov
- Joint Institute for Nuclear Research, Dubna, Moscow Region Russia
| | - A. De Roeck
- CERN European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | - G. De Rosa
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
| | - T. Dealtry
- Physics Department, Lancaster University, Lancaster, UK
| | - C. C. Delogu
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - C. Densham
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - A. Dergacheva
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - F. Di Lodovico
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
| | - S. Dolan
- CERN European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | - D. Douqa
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - T. A. Doyle
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - O. Drapier
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
| | - J. Dumarchez
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - P. Dunne
- Department of Physics, Imperial College London, London, UK
| | - K. Dygnarowicz
- Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Warsaw, Poland
| | - A. Eguchi
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - S. Emery-Schrenk
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - G. Erofeev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - A. Ershova
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - G. Eurin
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - D. Fedorova
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - S. Fedotov
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - M. Feltre
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - A. J. Finch
- Physics Department, Lancaster University, Lancaster, UK
| | | | - G. Fiorillo
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
| | - M. D. Fitton
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
| | - J. M. Franco Patiño
- Departamento de Física Atómica, Molecular y Nuclear, Universidad de Sevilla, 41080 Sevilla, Spain
| | - M. Friend
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - Y. Fujii
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - Y. Fukuda
- Department of Physics, Miyagi University of Education, Sendai, Japan
| | - K. Fusshoeller
- Institute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland
| | - L. Giannessi
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - C. Giganti
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - V. Glagolev
- Joint Institute for Nuclear Research, Dubna, Moscow Region Russia
| | - M. Gonin
- ILANCE, CNRS-University of Tokyo International Research Laboratory, Kashiwa, Chiba 277-8582 Japan
| | - J. González Rosa
- Departamento de Física Atómica, Molecular y Nuclear, Universidad de Sevilla, 41080 Sevilla, Spain
| | - E. A. G. Goodman
- School of Physics and Astronomy, University of Glasgow, Glasgow, UK
| | - A. Gorin
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - M. Grassi
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - M. Guigue
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - D. R. Hadley
- Department of Physics, University of Warwick, Coventry, UK
| | - J. T. Haigh
- Department of Physics, University of Warwick, Coventry, UK
| | | | - D. A. Harris
- Department of Physics and Astronomy, York University, Toronto, ON Canada
| | - M. Hartz
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- TRIUMF, Vancouver, BC Canada
| | - T. Hasegawa
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - S. Hassani
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - N. C. Hastings
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
| | - Y. Hayato
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - D. Henaff
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - A. Hiramoto
- Department of Physics, Kyoto University, Kyoto, Japan
| | - M. Hogan
- Department of Physics, Colorado State University, Fort Collins, Colorado USA
| | - J. Holeczek
- Institute of Physics, University of Silesia, Katowice, Poland
| | - A. Holin
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
| | - T. Holvey
- Department of Physics, Oxford University, Oxford, UK
| | - N. T. Hong Van
- International Centre of Physics, Institute of Physics (IOP), Vietnam Academy of Science and Technology (VAST), 10 Dao Tan, Ba Dinh, Hanoi, Vietnam
| | - T. Honjo
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
| | - F. Iacob
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - A. K. Ichikawa
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi Japan
| | - M. Ikeda
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - T. Ishida
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - M. Ishitsuka
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba Japan
| | - H. T. Israel
- Department of Physics and Astronomy, University of Sheffield, Sheffield, UK
| | - K. Iwamoto
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - A. Izmaylov
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - N. Izumi
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba Japan
| | - M. Jakkapu
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
| | - B. Jamieson
- Department of Physics, University of Winnipeg, Winnipeg, MB Canada
| | - S. J. Jenkins
- Department of Physics, University of Liverpool, Liverpool, UK
| | - C. Jesús-Valls
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
| | - J. J. Jiang
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - P. Jonsson
- Department of Physics, Imperial College London, London, UK
| | - S. Joshi
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - C. K. Jung
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - P. B. Jurj
- Department of Physics, Imperial College London, London, UK
| | - M. Kabirnezhad
- Department of Physics, Imperial College London, London, UK
| | - A. C. Kaboth
- Department of Physics, Royal Holloway University of London, Egham, Surrey UK
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
| | - T. Kajita
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - H. Kakuno
- Department of Physics, Tokyo Metropolitan University, Tokyo, Japan
| | - J. Kameda
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - S. P. Kasetti
- Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA USA
| | - Y. Kataoka
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - Y. Katayama
- Department of Physics, Yokohama National University, Yokohama, Japan
| | - T. Katori
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
| | - M. Kawaue
- Department of Physics, Kyoto University, Kyoto, Japan
| | - E. Kearns
- Department of Physics, Boston University, Boston, MA USA
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - M. Khabibullin
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - A. Khotjantsev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - T. Kikawa
- Department of Physics, Kyoto University, Kyoto, Japan
| | - H. Kikutani
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - S. King
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
| | - V. Kiseeva
- Joint Institute for Nuclear Research, Dubna, Moscow Region Russia
| | - J. Kisiel
- Institute of Physics, University of Silesia, Katowice, Poland
| | - T. Kobata
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
| | - H. Kobayashi
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - T. Kobayashi
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - L. Koch
- Institut für Physik, Johannes Gutenberg-Universität Mainz, Staudingerweg 7, 55128 Mainz, Germany
| | - S. Kodama
- Department of Physics, University of Tokyo, Tokyo, Japan
| | | | - L. L. Kormos
- Physics Department, Lancaster University, Lancaster, UK
| | - Y. Koshio
- Department of Physics, Okayama University, Okayama, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - A. Kostin
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - T. Koto
- Department of Physics, Tokyo Metropolitan University, Tokyo, Japan
| | - K. Kowalik
- National Centre for Nuclear Research, Warsaw, Poland
| | - Y. Kudenko
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
- Moscow Institute of Physics and Technology (MIPT), Moscow Region, Russia and National Research Nuclear University “MEPhI”, Moscow, Russia
| | - Y. Kudo
- Department of Physics, Yokohama National University, Yokohama, Japan
| | | | - R. Kurjata
- Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Warsaw, Poland
| | - T. Kutter
- Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA USA
| | - M. Kuze
- Department of Physics, Tokyo Institute of Technology, Tokyo, Japan
| | - M. La Commara
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
| | - L. Labarga
- Department of Theoretical Physics, University Autonoma Madrid, 28049 Madrid, Spain
| | - K. Lachner
- Department of Physics, University of Warwick, Coventry, UK
| | - J. Lagoda
- National Centre for Nuclear Research, Warsaw, Poland
| | - S. M. Lakshmi
- National Centre for Nuclear Research, Warsaw, Poland
| | - M. Lamers James
- Physics Department, Lancaster University, Lancaster, UK
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
| | - M. Lamoureux
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - A. Langella
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
| | - J.-F. Laporte
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - D. Last
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - N. Latham
- Department of Physics, University of Warwick, Coventry, UK
| | - M. Laveder
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - L. Lavitola
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
| | - M. Lawe
- Physics Department, Lancaster University, Lancaster, UK
| | - Y. Lee
- Department of Physics, Kyoto University, Kyoto, Japan
| | - C. Lin
- Department of Physics, Imperial College London, London, UK
| | - S.-K. Lin
- Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA USA
| | - R. P. Litchfield
- School of Physics and Astronomy, University of Glasgow, Glasgow, UK
| | - S. L. Liu
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - W. Li
- Department of Physics, Oxford University, Oxford, UK
| | - A. Longhin
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - K. R. Long
- Department of Physics, Imperial College London, London, UK
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
| | - A. Lopez Moreno
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
| | - L. Ludovici
- INFN Sezione di Roma and Università di Roma “La Sapienza”, Rome, Italy
| | - X. Lu
- Department of Physics, University of Warwick, Coventry, UK
| | - T. Lux
- Institut de Fisica d’Altes Energies (IFAE)-The Barcelona Institute of Science and Technology, Campus UAB, Bellaterra, Barcelona Spain
| | - L. N. Machado
- School of Physics and Astronomy, University of Glasgow, Glasgow, UK
| | - L. Magaletti
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, Bari, Italy
| | - K. Mahn
- Department of Physics and Astronomy, Michigan State University, East Lansing, MI USA
| | - M. Malek
- Department of Physics and Astronomy, University of Sheffield, Sheffield, UK
| | - M. Mandal
- National Centre for Nuclear Research, Warsaw, Poland
| | - S. Manly
- Department of Physics and Astronomy, University of Rochester, Rochester, NY USA
| | - A. D. Marino
- Department of Physics, University of Colorado at Boulder, Boulder, CO USA
| | - L. Marti-Magro
- Department of Physics, Yokohama National University, Yokohama, Japan
| | | | - M. Martini
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
- IPSA-DRII, Ivry-sur-Seine, France
| | - J. F. Martin
- Department of Physics, University of Toronto, Toronto, ON Canada
| | - T. Maruyama
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - T. Matsubara
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
| | - V. Matveev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - C. Mauger
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - K. Mavrokoridis
- Department of Physics, University of Liverpool, Liverpool, UK
| | - E. Mazzucato
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - N. McCauley
- Department of Physics, University of Liverpool, Liverpool, UK
| | - J. McElwee
- Department of Physics and Astronomy, University of Sheffield, Sheffield, UK
| | - K. S. McFarland
- Department of Physics and Astronomy, University of Rochester, Rochester, NY USA
| | - C. McGrew
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - J. McKean
- Department of Physics, Imperial College London, London, UK
| | - A. Mefodiev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - G. D. Megias
- Departamento de Física Atómica, Molecular y Nuclear, Universidad de Sevilla, 41080 Sevilla, Spain
| | - P. Mehta
- Department of Physics, University of Liverpool, Liverpool, UK
| | - L. Mellet
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - C. Metelko
- Department of Physics, University of Liverpool, Liverpool, UK
| | - M. Mezzetto
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - E. Miller
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
| | - A. Minamino
- Department of Physics, Yokohama National University, Yokohama, Japan
| | - O. Mineev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - S. Mine
- Department of Physics and Astronomy, University of California, Irvine, Irvine, CA USA
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - M. Miura
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | | | - S. Moriyama
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - S. Moriyama
- Department of Physics, Yokohama National University, Yokohama, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - P. Morrison
- School of Physics and Astronomy, University of Glasgow, Glasgow, UK
| | - Th. A. Mueller
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
| | - D. Munford
- Department of Physics, University of Houston, Houston, TX USA
| | - L. Munteanu
- CERN European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | - K. Nagai
- Department of Physics, Yokohama National University, Yokohama, Japan
| | - Y. Nagai
- Department of Atomic Physics, Eötvös Loránd University, Budapest, Hungary
| | - T. Nakadaira
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - K. Nakagiri
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - M. Nakahata
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - Y. Nakajima
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - A. Nakamura
- Department of Physics, Okayama University, Okayama, Japan
| | - H. Nakamura
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba Japan
| | - K. Nakamura
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- J-PARC, Tokai, Japan
| | - K. D. Nakamura
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi Japan
| | - Y. Nakano
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - S. Nakayama
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - T. Nakaya
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Department of Physics, Kyoto University, Kyoto, Japan
| | - K. Nakayoshi
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | | | - T. V. Ngoc
- Institute For Interdisciplinary Research in Science and Education (IFIRSE), ICISE, Quy Nhon, Vietnam
- The Graduate University of Science and Technology, Vietnam Academy of Science and Technology, Ho Chi Minh City, Vietnam
| | - V. Q. Nguyen
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
| | - K. Niewczas
- Faculty of Physics and Astronomy, Wroclaw University, Wrocław, Poland
| | - S. Nishimori
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
| | - Y. Nishimura
- Department of Physics, Keio University, Yokohama, Kanagawa Japan
| | - K. Nishizaki
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
| | - T. Nosek
- National Centre for Nuclear Research, Warsaw, Poland
| | - F. Nova
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
| | - P. Novella
- IFIC (CSIC and University of Valencia), Valencia, Spain
| | - J. C. Nugent
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi Japan
| | | | - L. O’Sullivan
- Institut für Physik, Johannes Gutenberg-Universität Mainz, Staudingerweg 7, 55128 Mainz, Germany
| | - T. Odagawa
- Department of Physics, Kyoto University, Kyoto, Japan
| | - T. Ogawa
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
| | - R. Okada
- Department of Physics, Okayama University, Okayama, Japan
| | - W. Okinaga
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - K. Okumura
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Japan
| | - T. Okusawa
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
| | - N. Ospina
- Department of Theoretical Physics, University Autonoma Madrid, 28049 Madrid, Spain
| | - R. A. Owen
- School of Physics and Astronomy, Queen Mary University of London, London, UK
| | - Y. Oyama
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - V. Palladino
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
| | - V. Paolone
- Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA USA
| | - M. Pari
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - J. Parlone
- Department of Physics, University of Liverpool, Liverpool, UK
| | - S. Parsa
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - J. Pasternak
- Department of Physics, Imperial College London, London, UK
| | | | - D. Payne
- Department of Physics, University of Liverpool, Liverpool, UK
| | - G. C. Penn
- Department of Physics, University of Liverpool, Liverpool, UK
| | - D. Pershey
- Department of Physics, Duke University, Durham, NC USA
| | - L. Pickering
- Department of Physics, Royal Holloway University of London, Egham, Surrey UK
| | - C. Pidcott
- Department of Physics and Astronomy, University of Sheffield, Sheffield, UK
| | - G. Pintaudi
- Department of Physics, Yokohama National University, Yokohama, Japan
| | - C. Pistillo
- Laboratory for High Energy Physics (LHEP), Albert Einstein Center for Fundamental Physics, University of Bern, Bern, Switzerland
| | - B. Popov
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
- JINR, Dubna, Russia
| | - K. Porwit
- Institute of Physics, University of Silesia, Katowice, Poland
| | | | - Y. S. Prabhu
- National Centre for Nuclear Research, Warsaw, Poland
| | - F. Pupilli
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - B. Quilain
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
| | - T. Radermacher
- III. Physikalisches Institut, RWTH Aachen University, Aachen, Germany
| | - E. Radicioni
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, Bari, Italy
| | - B. Radics
- Department of Physics and Astronomy, York University, Toronto, ON Canada
| | - M. A. Ramírez
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - P. N. Ratoff
- Physics Department, Lancaster University, Lancaster, UK
| | - M. Reh
- Department of Physics, University of Colorado at Boulder, Boulder, CO USA
| | - C. Riccio
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - E. Rondio
- National Centre for Nuclear Research, Warsaw, Poland
| | - S. Roth
- III. Physikalisches Institut, RWTH Aachen University, Aachen, Germany
| | - N. Roy
- Department of Physics and Astronomy, York University, Toronto, ON Canada
| | - A. Rubbia
- Institute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland
| | - A. C. Ruggeri
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
| | - C. A. Ruggles
- School of Physics and Astronomy, University of Glasgow, Glasgow, UK
| | - A. Rychter
- Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Warsaw, Poland
| | - K. Sakashita
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - F. Sánchez
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - G. Santucci
- Department of Physics and Astronomy, York University, Toronto, ON Canada
| | - C. M. Schloesser
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - K. Scholberg
- Department of Physics, Duke University, Durham, NC USA
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - M. Scott
- Department of Physics, Imperial College London, London, UK
| | - Y. Seiya
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
- Science Department, BMCC/CUNY, New York, NY USA
| | - T. Sekiguchi
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - H. Sekiya
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - D. Sgalaberna
- Institute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland
| | - A. Shaikhiev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - F. Shaker
- Department of Physics and Astronomy, York University, Toronto, ON Canada
| | - A. Shaykina
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - M. Shiozawa
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - W. Shorrock
- Department of Physics, Imperial College London, London, UK
| | - A. Shvartsman
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - N. Skrobova
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | | | - D. Smyczek
- III. Physikalisches Institut, RWTH Aachen University, Aachen, Germany
| | - M. Smy
- Department of Physics and Astronomy, University of California, Irvine, Irvine, CA USA
| | - J. T. Sobczyk
- Faculty of Physics and Astronomy, Wroclaw University, Wrocław, Poland
| | - H. Sobel
- Department of Physics and Astronomy, University of California, Irvine, Irvine, CA USA
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
| | - F. J. P. Soler
- School of Physics and Astronomy, University of Glasgow, Glasgow, UK
| | - Y. Sonoda
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - A. J. Speers
- Physics Department, Lancaster University, Lancaster, UK
| | - R. Spina
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, Bari, Italy
| | - I. A. Suslov
- Joint Institute for Nuclear Research, Dubna, Moscow Region Russia
| | - S. Suvorov
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | | | - S. Y. Suzuki
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - Y. Suzuki
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
| | - A. A. Sztuc
- Department of Physics, Imperial College London, London, UK
| | - M. Tada
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - S. Tairafune
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi Japan
| | - S. Takayasu
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
| | - A. Takeda
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - Y. Takeuchi
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Kobe University, Kobe, Japan
| | - K. Takifuji
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi Japan
| | - H. K. Tanaka
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - Y. Tanihara
- Department of Physics, Yokohama National University, Yokohama, Japan
| | - M. Tani
- Department of Physics, Kyoto University, Kyoto, Japan
| | - A. Teklu
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | | | - N. Teshima
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
| | - N. Thamm
- III. Physikalisches Institut, RWTH Aachen University, Aachen, Germany
| | - L. F. Thompson
- Department of Physics and Astronomy, University of Sheffield, Sheffield, UK
| | - W. Toki
- Department of Physics, Colorado State University, Fort Collins, Colorado USA
| | - C. Touramanis
- Department of Physics, University of Liverpool, Liverpool, UK
| | - T. Towstego
- Department of Physics, University of Toronto, Toronto, ON Canada
| | - K. M. Tsui
- Department of Physics, University of Liverpool, Liverpool, UK
| | - T. Tsukamoto
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - M. Tzanov
- Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA USA
| | - Y. Uchida
- Department of Physics, Imperial College London, London, UK
| | - M. Vagins
- Department of Physics and Astronomy, University of California, Irvine, Irvine, CA USA
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
| | - D. Vargas
- Institut de Fisica d’Altes Energies (IFAE)-The Barcelona Institute of Science and Technology, Campus UAB, Bellaterra, Barcelona Spain
| | - M. Varghese
- Institut de Fisica d’Altes Energies (IFAE)-The Barcelona Institute of Science and Technology, Campus UAB, Bellaterra, Barcelona Spain
| | - G. Vasseur
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - C. Vilela
- CERN European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | - E. Villa
- CERN European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | | | - U. Virginet
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | | | - T. Wachala
- H. Niewodniczanski Institute of Nuclear Physics PAN, Cracow, Poland
| | - J. G. Walsh
- Department of Physics and Astronomy, Michigan State University, East Lansing, MI USA
| | - Y. Wang
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - L. Wan
- Department of Physics, Boston University, Boston, MA USA
| | - D. Wark
- Department of Physics, Oxford University, Oxford, UK
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
| | - M. O. Wascko
- Department of Physics, Imperial College London, London, UK
| | - A. Weber
- Institut für Physik, Johannes Gutenberg-Universität Mainz, Staudingerweg 7, 55128 Mainz, Germany
| | - R. Wendell
- Department of Physics, Kyoto University, Kyoto, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - M. J. Wilking
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - C. Wilkinson
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - J. R. Wilson
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
| | - K. Wood
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - C. Wret
- Department of Physics, Oxford University, Oxford, UK
| | - J. Xia
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
| | - Y.-H. Xu
- Physics Department, Lancaster University, Lancaster, UK
| | - K. Yamamoto
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
- Nambu Yoichiro Institute of Theoretical and Experimental Physics (NITEP), Osaka, Japan
| | - T. Yamamoto
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
| | - C. Yanagisawa
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
- Science Department, BMCC/CUNY, New York, NY USA
| | - G. Yang
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - T. Yano
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - K. Yasutome
- Department of Physics, Kyoto University, Kyoto, Japan
| | - N. Yershov
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - U. Yevarouskaya
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - M. Yokoyama
- Department of Physics, University of Tokyo, Tokyo, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - Y. Yoshimoto
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - N. Yoshimura
- Department of Physics, Kyoto University, Kyoto, Japan
| | - M. Yu
- Department of Physics, Yokohama National University, Yokohama, Japan
| | - R. Zaki
- Department of Physics and Astronomy, York University, Toronto, ON Canada
| | - A. Zalewska
- H. Niewodniczanski Institute of Nuclear Physics PAN, Cracow, Poland
| | - J. Zalipska
- National Centre for Nuclear Research, Warsaw, Poland
| | - K. Zaremba
- Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Warsaw, Poland
| | - G. Zarnecki
- H. Niewodniczanski Institute of Nuclear Physics PAN, Cracow, Poland
| | - X. Zhao
- Institute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland
| | - T. Zhu
- Department of Physics, Imperial College London, London, UK
| | - M. Ziembicki
- Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Warsaw, Poland
| | - E. D. Zimmerman
- Department of Physics, University of Colorado at Boulder, Boulder, CO USA
| | - M. Zito
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - S. Zsoldos
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
| | - T2K Collaboration
- Department of Theoretical Physics, University Autonoma Madrid, 28049 Madrid, Spain
- Laboratory for High Energy Physics (LHEP), Albert Einstein Center for Fundamental Physics, University of Bern, Bern, Switzerland
- Department of Physics, Boston University, Boston, MA USA
- Department of Physics and Astronomy, University of California, Irvine, Irvine, CA USA
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
- Department of Physics, University of Colorado at Boulder, Boulder, CO USA
- Department of Physics, Colorado State University, Fort Collins, Colorado USA
- Department of Physics, Duke University, Durham, NC USA
- Department of Atomic Physics, Eötvös Loránd University, Budapest, Hungary
- Institute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland
- CERN European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
- School of Physics and Astronomy, University of Glasgow, Glasgow, UK
- H. Niewodniczanski Institute of Nuclear Physics PAN, Cracow, Poland
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- Department of Physics, University of Houston, Houston, TX USA
- Institut de Fisica d’Altes Energies (IFAE)-The Barcelona Institute of Science and Technology, Campus UAB, Bellaterra, Barcelona Spain
- Institut für Physik, Johannes Gutenberg-Universität Mainz, Staudingerweg 7, 55128 Mainz, Germany
- IFIC (CSIC and University of Valencia), Valencia, Spain
- Institute For Interdisciplinary Research in Science and Education (IFIRSE), ICISE, Quy Nhon, Vietnam
- Department of Physics, Imperial College London, London, UK
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, Bari, Italy
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
- INFN Sezione di Roma and Università di Roma “La Sapienza”, Rome, Italy
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
- International Centre of Physics, Institute of Physics (IOP), Vietnam Academy of Science and Technology (VAST), 10 Dao Tan, Ba Dinh, Hanoi, Vietnam
- ILANCE, CNRS-University of Tokyo International Research Laboratory, Kashiwa, Chiba 277-8582 Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Department of Physics, Keio University, Yokohama, Kanagawa Japan
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
- Kobe University, Kobe, Japan
- Department of Physics, Kyoto University, Kyoto, Japan
- Physics Department, Lancaster University, Lancaster, UK
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
- Department of Physics, University of Liverpool, Liverpool, UK
- Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA USA
- Joint Institute for Nuclear Research, Dubna, Moscow Region Russia
- Department of Physics and Astronomy, Michigan State University, East Lansing, MI USA
- Department of Physics, Miyagi University of Education, Sendai, Japan
- National Centre for Nuclear Research, Warsaw, Poland
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
- Department of Physics, Okayama University, Okayama, Japan
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
- Department of Physics, Oxford University, Oxford, UK
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104 USA
- Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA USA
- School of Physics and Astronomy, Queen Mary University of London, London, UK
- Department of Physics, University of Regina, Regina, Saskatchewan Canada
- Department of Physics and Astronomy, University of Rochester, Rochester, NY USA
- Department of Physics, Royal Holloway University of London, Egham, Surrey UK
- III. Physikalisches Institut, RWTH Aachen University, Aachen, Germany
- Departamento de Física Atómica, Molecular y Nuclear, Universidad de Sevilla, 41080 Sevilla, Spain
- Department of Physics and Astronomy, University of Sheffield, Sheffield, UK
- Institute of Physics, University of Silesia, Katowice, Poland
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
- Department of Physics, University of Tokyo, Tokyo, Japan
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Japan
- Department of Physics, Tokyo Institute of Technology, Tokyo, Japan
- Department of Physics, Tokyo Metropolitan University, Tokyo, Japan
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba Japan
- Department of Physics, University of Toronto, Toronto, ON Canada
- TRIUMF, Vancouver, BC Canada
- Faculty of Physics, University of Warsaw, Warsaw, Poland
- Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Warsaw, Poland
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi Japan
- Department of Physics, University of Warwick, Coventry, UK
- Department of Physics, University of Winnipeg, Winnipeg, MB Canada
- Faculty of Physics and Astronomy, Wroclaw University, Wrocław, Poland
- Department of Physics, Yokohama National University, Yokohama, Japan
- Department of Physics and Astronomy, York University, Toronto, ON Canada
- Université Paris-Saclay, Gif-sur-Yvette, France
- INFN-Laboratori Nazionali di Legnaro, Legnaro, Italy
- J-PARC, Tokai, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
- Moscow Institute of Physics and Technology (MIPT), Moscow Region, Russia and National Research Nuclear University “MEPhI”, Moscow, Russia
- IPSA-DRII, Ivry-sur-Seine, France
- The Graduate University of Science and Technology, Vietnam Academy of Science and Technology, Ho Chi Minh City, Vietnam
- JINR, Dubna, Russia
- Nambu Yoichiro Institute of Theoretical and Experimental Physics (NITEP), Osaka, Japan
- Science Department, BMCC/CUNY, New York, NY USA
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