Prediction of microvascular invasion in hepatocellular carcinoma with expert-inspiration and skeleton sharing deep learning.

Journal: Liver international : official journal of the International Association for the Study of the Liver
Published Date:

Abstract

BACKGROUND AND AIMS: Radiological prediction of microvascular invasion (MVI) of hepatocellular carcinoma (HCC) is essential but few models were clinically implemented because of limited interpretability and generalizability.

Authors

  • Han Xiao
    Department of Radiation Oncology, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Yuchen Guo
    Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China.
  • Qian Zhou
    Department of Computer Science, City University of Hong Kong, Hong Kong, Hong Kong SAR, China.
  • Qiaofeng Chen
    Structural Bioinformatics Group, Institute for Physiology, Charité - University Medicine Berlin, Berlin, Germany.
  • Qiang Du
    Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.
  • Shuling Chen
    Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, the First Affiliated Hospital of Sun Yat-Sen University, No. 58, Zhongshan 2nd Road, Guangzhou, 510080, Guangdong, China. chenshling@mail.sysu.edu.cn.
  • Shunjun Fu
    General Surgery Center, Department of Hepatobiliary Surgery II, Guangdong Provincial Research Center for Artificial Organ and Tissue Engineering, Guangzhou Clinical Research and Transformation Center for Artificial Liver, Institute of Regenerative Medicine, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, China.
  • Jie Lin
    Department of Reproductive Medicine, Zigong Hospital of Women and Children Health Care, Zigong, China.
  • Dexuan Li
    Xiaobaishiji, Beijing, China.
  • Xinming Song
    Department of Gastrointestinal Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
  • Sui Peng
    Center for Precision Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
  • Yuhua Huang
    Department of Pathology, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in Southern China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, China.
  • Jingxian Shen
    Department of Radiology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangzhou, China.
  • Ming Kuang
    School of Medicine, Jiangsu University, Zhenjiang 212013, China.