Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study.

Journal: Gut
Published Date:

Abstract

OBJECTIVE: We aimed to evaluate the performance of the newly developed deep learning Radiomics of elastography (DLRE) for assessing liver fibrosis stages. DLRE adopts the radiomic strategy for quantitative analysis of the heterogeneity in two-dimensional shear wave elastography (2D-SWE) images.

Authors

  • Kun Wang
    CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
  • Xue Lu
    Guangdong Key Laboratory of Liver Disease Research, Department of Medical Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Hui Zhou
    CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
  • Yongyan Gao
    Department of Interventional Ultrasound, Chinese PLA General Hospital, Beijing, China.
  • Jian Zheng
    Biospheric Assessment for Waste Disposal Team, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, 4-9-1 Anagawa, Inage, Chiba 263-8555, Japan; Fukushima Project Headquarters, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, 4-9-1 Anagawa, Inage, Chiba 263-8555, Japan. Electronic address: zheng.jian@qst.go.jp.
  • Minghui Tong
    Functional Examination Department of Children's Hospital, Lanzhou University Second Hospital, Lanzhou, China.
  • Changjun Wu
    Ultrasound Department, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Changzhu Liu
    Ultrasound Department, Guangzhou Eighth People's Hospital, Guangzhou, China.
  • Liping Huang
    Department of Ultrasound, Shengjing Hospital of China Medical University, Shenyang, China.
  • Tian'an Jiang
    Department of Ultrasound, First Affiliated Hospital, Zhejiang University, Hangzhou, 310003, China.
  • Fankun Meng
    Heilongjiang Provincial Key Laboratory of Oilfield Applied Chemistry and Technology, School of Chemical Engineering, Daqing Normal University, Daqing 163712, China.
  • Yongping Lu
    Ultrasound Department, The Second People's Hospital of Yunnan Province, Kunming, China.
  • Hong Ai
    Ultrasound Department, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
  • Xiao-Yan Xie
    Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Li-Ping Yin
    Department of Ultrasound, Jiangsu Province Hospital of TCM, Affiliated Hospital of Nanjing University of TCM, Nanjing, China.
  • Ping Liang
    Department of Pharmacy, The Fourth Hospital of Hebei Medical University Shijiazhuang 050000, Hebei, China.
  • Jie Tian
    CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
  • Rongqin Zheng
    Guangdong Key Laboratory of Liver Disease Research, Department of Medical Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.