Development and validation of a machine learning model for predicting pulmonary metastasis in hepatocellular carcinoma patients.

Journal: Discover oncology
Published Date: Aug 6, 2025

Abstract

BACKGROUND: Hepatocellular carcinoma with pulmonary metastasis (HCC-PM) is a common complication of hepatocellular carcinoma (HCC) and has gained increasing attention. However, there is currently no effective model for predicting the risk of HCC-PM in patients with HCC. This study aims to develop a precise predictive model to assess the risk of HCC-PM in patients with HCC.

Authors

  • Gangfeng Zhu
    The First Clinical Medical College, Gannan Medical University, Ganzhou, 341000, Jiangxi Province, China.
  • Qiang Yi
    The First Clinical Medical College, Gannan Medical University, Ganzhou, 341000, Jiangxi Province, China.
  • Rui Xu
    Collaborative Innovation Center for Green Chemical Manufacturing and Accurate Detection, Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan, 250022, PR China.
  • Yi Xie
    Department of Plastic Surgery Peninsula Health Melbourne Victoria Australia.
  • Siying Chen
    School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China.
  • Yipeng Song
    Department of Psychiatry, University of Alberta, Edmonton, Alberta, Canada.
  • Yi Xiang
    Department of Ophthalmology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
  • Xiangcai Wang
    Jiangxi Clinical Research Center for Cancer, Department of Oncology, The First Affiliated Hospital, Gannan Medical University, Ganzhou, Jiangxi Province, 341000, China. wangxiangcai@csco.ac.cn.
  • Li Huang
    National Research Center for Resettlement (NRCR), Hohai University, 1 Xikang Road, Nanjing 210098, China. lily8214@hhu.edu.cn.

Keywords

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