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Prediction of lymph node metastasis in stage T1-2 rectal cancers with MRI-based deep learning.
Wan, Lijuan; Hu, Jiesi; Chen, Shuang; Zhao, Rui; Peng, Wenjing; Liu, Yuan; Hu, Shangying; Zou, Shuangmei; Wang, Sicong; Zhao, Xinming; Zhang, Hongmei.
Affiliation
  • Wan L; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
  • Hu J; Department of Pharmaceutical Diagnosis, GE Healthcare, Life Sciences, #1 Tongji South Road, Beijing, 100176, China.
  • Chen S; Harbin Institute of Technology, 518000, Shenzhen, China.
  • Zhao R; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
  • Peng W; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
  • Liu Y; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
  • Hu S; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
  • Zou S; Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
  • Wang S; Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
  • Zhao X; Department of Pharmaceutical Diagnosis, GE Healthcare, Life Sciences, #1 Tongji South Road, Beijing, 100176, China.
  • Zhang H; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, #17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
Eur Radiol ; 33(5): 3638-3646, 2023 May.
Article in En | MEDLINE | ID: mdl-36905470
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Full text: 1 Database: MEDLINE Main subject: Rectal Neoplasms / Deep Learning Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Eur Radiol Journal subject: RADIOLOGIA Year: 2023 Type: Article Affiliation country: China
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Full text: 1 Database: MEDLINE Main subject: Rectal Neoplasms / Deep Learning Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Eur Radiol Journal subject: RADIOLOGIA Year: 2023 Type: Article Affiliation country: China