Multi-institutional development and external validation of machine learning-based models to predict relapse risk of pancreatic ductal adenocarcinoma after radical resection.

Journal: Journal of translational medicine
Published Date: Jun 30, 2021

Abstract

BACKGROUND: Surgical resection is the only potentially curative treatment for pancreatic ductal adenocarcinoma (PDAC) and the survival of patients after radical resection is closely related to relapse. We aimed to develop models to predict the risk of relapse using machine learning methods based on multiple clinical parameters.

Authors

  • Xiawei Li
    Department of Surgery, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, Zhejiang, China.
  • Litao Yang
    Department of Surgery, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, 310000, Zhejiang, China.
  • Zheping Yuan
    Hessian Health Technology Co., Ltd, Beijing, 100007, China.
  • Jianyao Lou
    Department of Surgery, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, Zhejiang, China.
  • Yiqun Fan
    Department of Surgery, Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, 322000, Zhejiang, China.
  • Aiguang Shi
    Department of Surgery, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, Zhejiang, China.
  • Junjie Huang
    Department of Surgery, Changxing People's Hospital, Huzhou, 313100, Zhejiang, China.
  • Mingchen Zhao
    Hessian Health Technology Co., Ltd, Beijing, 100007, China.
  • Yulian Wu
    Shenzhen Key Laboratory of Reproductive Immunology for Peri-implantation, Shenzhen Zhongshan Institute for Reproductive Medicine and Genetics, Shenzhen, China.

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