Prediction of Ki-67 expression in hepatocellular carcinoma with machine learning models based on intratumoral and peritumoral radiomic features.

Journal: World journal of gastrointestinal oncology
Published Date: May 15, 2025

Abstract

BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most common malignant tumours of the digestive system worldwide. The expression of Ki-67 is crucial for the diagnosis, treatment, and prognostic evaluation of HCC.

Authors

  • Zi-Wei Zhu
    China Medical University, The General Hospital of Northern Theater Command Training Base for Graduate, Shenyang 110000, Liaoning Province, China.
  • Jun Wu
    Department of Emergency, Zhuhai Integrated Traditional Chinese and Western Medicine Hospital, Zhuhai, 519020, Guangdong Province, China. quanshabai43@163.com.
  • Yang Guo
    Innovation Research Institute of Combined Acupuncture and Medicine, Shaanxi University of CM, Xianyang 712046, China.
  • Qiong-Yuan Ren
    Dalian Medical University, The General Hospital of Northern Theater Command Training Base for Graduate, Shenyang 110000, Liaoning Province, China.
  • Dong-Ning Li
    Dalian Medical University, The General Hospital of Northern Theater Command Training Base for Graduate, Shenyang 110000, Liaoning Province, China.
  • Ze-Yu Li
    China Medical University, The General Hospital of Northern Theater Command Training Base for Graduate, Shenyang 110000, Liaoning Province, China.
  • Lei Han
    Jiangsu Province Center for Disease Prevention and Control, Institute of Occupational Disease Prevention, Nanjing, Jiangsu, China.

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