Prognosis prediction and risk stratification of transarterial chemoembolization or intraarterial chemotherapy for unresectable hepatocellular carcinoma based on machine learning.

Journal: European radiology
Published Date:

Abstract

OBJECTIVE: To develop and validate a risk scoring scale model (RSSM) for stratifying prognostic risk after intra-arterial therapies (IATs) for hepatocellular carcinoma (HCC).

Authors

  • Wendao Liu
    Department of Interventional Therapy, Guangdong Provincial Hospital of Chinese, Medicine and Guangdong Provincial Academy of Chinese Medical Sciences, No. 111 Dade Road, Guangzhou, 510080, Guangdong, People's Republic of China. Liu_wendao_2023@163.com.
  • Ran Wei
  • Junwei Chen
    School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
  • Yangyang Li
    Institute of Urology, The Third Affiliated Hospital of Shenzhen University, Shenzhen, 518000, P. R. China.
  • Huajin Pang
    Division of Vascular and Interventional Radiology, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, People's Republic of China.
  • Wentao Zhang
    Department of Sports Medicine and Rehabilitation, Peking University Shenzhen Hospital, Shenzhen 518036, China.
  • Chao An
    Department of Minimal invasive intervention, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
  • Chengzhi Li
    Department of Interventional Radiology and Vascular Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, 510060, People's Republic of China. lichengzhi@jnu.edu.cn.