An interpretable machine learning model for predicting early liver metastasis after pancreatic cancer surgery.

Journal: BMC cancer
Published Date: Jul 1, 2025

Abstract

BACKGROUND: Liver metastasis is the most frequent site of distant metastasis in pancreatic ductal adenocarcinoma (PDAC), significantly contributing to poor prognosis. This study aims to develop and validate a machine learning (ML) model for predicting early liver metastasis (ELM) following pancreatic cancer surgery.

Authors

  • Hao Zhu
    State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology Wuhan 430070 PR China chang@whut.edu.cn suntl@whut.edu.cn.
  • Yiyan Zhou
    Department of General Surgery, Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, China.
  • Danyang Shen
    Department of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China.
  • Kejia Wu
    Department of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China.
  • Xiaojie Gan
    Department of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China.
  • Xiaofeng Xue
    Department of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China.
  • Weigang Zhang
    Department of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China.
  • Xiaohua Yang
    Department of Urology, the Second Affiliated Hospital (Jiande Branch), Zhejiang University School of Medicine, Zhejiang, Hangzhou, China.
  • Junyi Qiu
    Department of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China.
  • Ding Sun
    Department of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China. sunding@suda.edu.cn.

Keywords

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