Prediction of microvascular invasion and pathological differentiation of hepatocellular carcinoma based on a deep learning model.

Journal: European journal of radiology
Published Date:

Abstract

PURPOSE: To develop a deep learning (DL) model based on preoperative contrast-enhanced computed tomography (CECT) images to predict microvascular invasion (MVI) and pathological differentiation of hepatocellular carcinoma (HCC).

Authors

  • Xiaojuan He
    Department of Radiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, People's Republic of China.
  • Yang Xu
    Dermatological Department, Nan Chong Center Hospital, Nanchong, China.
  • Chaoyang Zhou
    Department of Neurosurgery, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China.
  • Rao Song
    Department of Radiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, People's Republic of China.
  • Yangyang Liu
    Department of Cardiology, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
  • Haiping Zhang
    Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of Oilseeds processing, Ministry of Agriculture, Oil Crops and Lipids Process Technology National & Local Joint Engineering Laboratory, Hubei Key Laboratory of Lipid Chemistry and Nutrition, Wuhan 430062, China.
  • Yudong Wang
    Institute of Research, Ocean International Center, InferVision, Chaoyang District, Beijing, 100025, China.
  • Qianrui Fan
    Institute of Research, Ocean International Center, InferVision, Chaoyang District, Beijing, 100025, China.
  • Dawei Wang
    Institute of Advanced Research, Infervision Medical Technology Co., Ltd, Beijing, China.
  • Weidao Chen
    Beijing Infervision Technology Co. Ltd., Beijing, China.
  • Jian Wang
    Veterinary Diagnostic Center, Shanghai Animal Disease Control Center, Shanghai, China.
  • Dajing Guo
    Department of Radiology, The Second Affiliated Hospital of Chongqing Medical University, No. 74 Linjiang Rd, Yuzhong District, Chongqing, 400010, China. guodaj@hospital.cqmu.edu.cn.