Prediction of lymph node metastasis in stage T1-2 rectal cancers with MRI-based deep learning.

Journal: European radiology
Published Date:

Abstract

OBJECTIVES: This study aimed to investigate whether a deep learning (DL) model based on preoperative MR images of primary tumors can predict lymph node metastasis (LNM) in patients with stage T1-2 rectal cancer.

Authors

  • Lijuan Wan
    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.
  • Jiesi Hu
    Department of Pharmaceutical Diagnosis, GE Healthcare, Life Sciences, #1 Tongji South Road, Beijing, 100176, China.
  • Shuang Chen
    The Beijing Genomics Institute (BGI), Shenzhen 518083, China. chenss@connect.hku.hk.
  • Rui Zhao
  • Wenjing Peng
    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.
  • Yuan Liu
    Department of General Surgery, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, China.
  • Shangying Hu
    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.
  • Shuangmei Zou
    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.
  • Sicong Wang
    Department of Critical Care Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
  • Xinming Zhao
    Department of Diagnostic Radiology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
  • Hongmei Zhang
    School of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, Henan, China.