Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning-based radiomics.

Journal: European radiology
Published Date: Jul 22, 2020

Abstract

OBJECTIVE: To investigate the efficacy of contrast-enhanced computed tomography (CECT)-based radiomics signatures for preoperative prediction of pathological grades of hepatocellular carcinoma (HCC) via machine learning.

Authors

  • Bing Mao
    School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Qiaokou District, Wuhan, 430030, Hubei, China.
  • Lianzhong Zhang
    Department of Health Management, Henan Provincial People's Hospital, Zhengzhou 450003, China.
  • Peigang Ning
    Zhengzhou University People's Hospital, Zhengzhou, Henan, China.
  • Feng Ding
  • Fatian Wu
    DHC Mediway Technology Co., Ltd, Beijing, China.
  • Gary Lu
    Dassault Systems, 175 Wyman St. Waltham, MA, 02451, USA.
  • Yayuan Geng
    Huiying Medical Technology (Beijing) Co., Ltd, Beijing, China.
  • Jingdong Ma
    School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Hubei, China. Electronic address: jdma@hust.edu.cn.

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