Development and Validation of a Deep Learning CT Signature to Predict Survival and Chemotherapy Benefit in Gastric Cancer: A Multicenter, Retrospective Study.

Journal: Annals of surgery
Published Date:

Abstract

OBJECTIVE: We aimed to develop a deep learning-based signature to predict prognosis and benefit from adjuvant chemotherapy using preoperative computed tomography (CT) images.

Authors

  • Yuming Jiang
    Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Cheng Jin
    Department of Pathology, Hangzhou Women's Hospital, Hangzhou, 310008, Zhejiang, China.
  • Heng Yu
  • Jia Wu
  • Chuanli Chen
    Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Qingyu Yuan
    Nanfang PET Center, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China.
  • Weicai Huang
    Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Yanfeng Hu
    Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Yikai Xu
  • Zhiwei Zhou
    Interdisciplinary Research Center on Biology and Chemistry, and Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 200032, PR China; University of Chinese Academy of Sciences, Beijing 100049, PR China.
  • George A Fisher
    Department of Medicine (Oncology), Stanford University School of Medicine, Stanford, California.
  • Guoxin Li
    Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China. gzliguoxin@163.com caishirong@yeah.net ehbhltj@hotmail.com keekee77@126.com.
  • Ruijiang Li
    Global Station for Quantum Medical Science and Engineering, Global Institution for Collaborative Research and Education (GI-CoRE), Proton Beam Therapy Center, North 14 West 5 Kita-ku, Sapporo, Hokkaido, 060-8648, Japan.