Interpretable machine learning based on CT-derived extracellular volume fraction to predict pathological grading of hepatocellular carcinoma.

Journal: Abdominal radiology (New York)
Published Date:

Abstract

PURPOSE: To develop a non-invasive auxiliary assessment method based on CT-derived extracellular volume (ECV) to predict the pathological grading (PG) of hepatocellular carcinoma (HCC).

Authors

  • Jie Li
    Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence Application Technology Research Institute, Shenzhen Polytechnic University, Shenzhen, China.
  • Linxuan Zou
    Department of Radiology, Binzhou Medical University Hospital, No. 661 Huanghe 2nd Road, Bincheng District, Binzhou, 256600, China.
  • Heng Ma
    Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, People's Republic of China.
  • Jifu Zhao
    Department of Radiology, Binzhou Medical University Hospital, No. 661 Huanghe 2nd Road, Bincheng District, Binzhou, 256600, China.
  • ChengYan Wang
  • Jun Li
    Department of Emergency, Zhuhai Integrated Traditional Chinese and Western Medicine Hospital, Zhuhai, 519020, Guangdong Province, China. quanshabai43@163.com.
  • Guangchao Hu
    School of Medical Imaging, Binzhou Medical University, No. 346 Guanhai Road, Laishan District, Yantai, 264003, China.
  • Haoran Yang
    School of Medical Imaging, Binzhou Medical University, No. 346 Guanhai Road, Laishan District, Yantai, 264003, China.
  • Beizhong Wang
    Department of Radiology, Binzhou Medical University Hospital, No. 661 Huanghe 2nd Road, Bincheng District, Binzhou, 256600, China.
  • Donghao Xu
    Department of General Surgery.
  • Yuanhao Xia
    Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, 264000, China.
  • Yi Jiang
    Institute of Genomic Medicine, Wenzhou Medical University, Wenzhou 325035, China.
  • Xingyue Jiang
    Department of Radiology, Binzhou Medical University Hospital, No. 661 Huanghe 2nd Road, Bincheng District, Binzhou, 256600, China. xyjiang188@sina.com.
  • Naixuan Li
    Department of Vascular Interventional Surgery, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, 264000, China. xuannaili@163.com.