Residual convolutional neural network for predicting response of transarterial chemoembolization in hepatocellular carcinoma from CT imaging.

Journal: European radiology
Published Date: Jul 22, 2019

Abstract

BACKGROUND: We attempted to train and validate a model of deep learning for the preoperative prediction of the response of patients with intermediate-stage hepatocellular carcinoma (HCC) undergoing transarterial chemoembolization (TACE).

Authors

  • Jie Peng
    School of Physical Education, Liupanshui Normal University, Liupanshui, China.
  • Shuai Kang
    Hepatology Unit and Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
  • Zhengyuan Ning
    School of Biomedical Engineering, Southern Medical University, Guangzhou, China.
  • Hangxia Deng
    Department of Minimal Invasive Interventional Therapy, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangzhou, 510000, China.
  • Jingxian Shen
    Department of Radiology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangzhou, China.
  • Yikai Xu
  • Jing Zhang
    MOEMIL Laboratory, School of Optoelectronic Information, University of Electronic Science and Technology of China, Chengdu, China.
  • Wei Zhao
    Key Laboratory of Synthetic and Biological Colloids, Ministry of Education, Jiangnan University, Wuxi 214122, Jiangsu Province, P. R. China. lxy@jiangnan.edu.cn zhuye@jiangnan.edu.cn.
  • Xinling Li
    Shandong Institute for Food and Drug Control, Ji'nan 250101, China.
  • Wuxing Gong
    Department of Oncology, Zhuhai Hospital Affiliated with Jinan University, Jinan University, Zhuhai, China.
  • Jinhua Huang
    Division of Medical Imaging and Interventional Radiology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China.
  • Li Liu
    Metanotitia Inc., Shenzhen, China.

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