Deep learning analysis of the primary tumour and the prediction of lymph node metastases in gastric cancer.

Journal: The British journal of surgery
Published Date: May 27, 2021

Abstract

BACKGROUND: Lymph node metastasis (LNM) in gastric cancer is a prognostic factor and has implications for the extent of lymph node dissection. The lymphatic drainage of the stomach involves multiple nodal stations with different risks of metastases. The aim of this study was to develop a deep learning system for predicting LNMs in multiple nodal stations based on preoperative CT images in patients with gastric cancer.

Authors

  • C Jin
    Department of Radiation Oncology, Stanford University School of Medicine, Stanford California, USA.
  • Y Jiang
    Ningbo Fourth Hospital, Xiangshan, China.
  • H Yu
    School of Forensic Medicine, China Medical University, Shenyang 110001, China.
  • W Wang
    Department of Thyroid Surgery, Affiliated Tumor Hospital, Xinjiang Medical University, Ulumqi, China.
  • B Li
    School of Basic Medicine and Biological Sciences, Soochow University, Suzhou, Jiangsu 215123, PR China; National Engineering Laboratory for Modern Silk, Soochow University, Suzhou, Jiangsu 215123, PR China. Electronic address: lib@suda.edu.cn.
  • C Chen
    Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
  • Q Yuan
    Departments of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Y Hu
    General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Y Xu
    Department of Clinical Laboratory, Affiliated Tumor Hospital, Xinjiang Medical University, Ulumqi, China.
  • Z Zhou
    Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
  • G Li
  • R Li
    Department of Radiation Oncology, Stanford University School of Medicine, Stanford California, USA.

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