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Multi-center evaluation of machine learning-based radiomic model in predicting disease free survival and adjuvant chemotherapy benefit in stage II colorectal cancer patients.
Zhu, Hui; Hu, Muni; Ma, Yanru; Yao, Xun; Lin, Xiaozhu; Li, Menglei; Li, Yue; Wu, Zhiyuan; Shi, Debing; Tong, Tong; Chen, Haoyan.
  • Zhu H; Department of Diagnostic Radiology, Department of Oncology, Fudan University Shanghai Cancer Center, Shanghai Medical College, Fudan University, 270 DongAn Road, Shanghai, 200032, China.
  • Hu M; State Key Laboratory for Oncogenes and Related Genes, Key Laboratory of Gastroenterology and Hepatology, Ministry of Health, Division of Gastroenterology and Hepatology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai Cancer Institute, Shanghai Institute of Digestive Dise
  • Ma Y; State Key Laboratory for Oncogenes and Related Genes, Key Laboratory of Gastroenterology and Hepatology, Ministry of Health, Division of Gastroenterology and Hepatology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai Cancer Institute, Shanghai Institute of Digestive Dise
  • Yao X; Department of Radiology, Peking University People's Hospital, 11 Xizhimen South St, Beijing, 100044, China.
  • Lin X; Department of Radiology, Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197, Rui Jin Er Rd, Shanghai, 200025, China.
  • Li M; Department of Diagnostic Radiology, Department of Oncology, Fudan University Shanghai Cancer Center, Shanghai Medical College, Fudan University, 270 DongAn Road, Shanghai, 200032, China.
  • Li Y; Department of Diagnostic Radiology, Department of Oncology, Fudan University Shanghai Cancer Center, Shanghai Medical College, Fudan University, 270 DongAn Road, Shanghai, 200032, China.
  • Wu Z; Department of Radiology, Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197, Rui Jin Er Rd, Shanghai, 200025, China. wuzhiyuan@shsmu.edu.cn.
  • Shi D; Department of Colorectal Surgery, Department of Oncology, Fudan University Shanghai Cancer Center; Shanghai Medical College, Fudan University, 270 DongAn Road, Shanghai, 200032, China. shidebing7819@163.com.
  • Tong T; Department of Diagnostic Radiology, Department of Oncology, Fudan University Shanghai Cancer Center, Shanghai Medical College, Fudan University, 270 DongAn Road, Shanghai, 200032, China. t983352@126.com.
  • Chen H; State Key Laboratory for Oncogenes and Related Genes, Key Laboratory of Gastroenterology and Hepatology, Ministry of Health, Division of Gastroenterology and Hepatology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai Cancer Institute, Shanghai Institute of Digestive Dise
Cancer Imaging ; 23(1): 74, 2023 Aug 03.
Article en En | MEDLINE | ID: mdl-37537659
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Colorrectales Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans País como asunto: Asia Idioma: En Año: 2023 Tipo del documento: Article
Texto completo
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PubMed Links
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Colorrectales Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans País como asunto: Asia Idioma: En Año: 2023 Tipo del documento: Article