Diagnosis of significant liver fibrosis in patients with chronic hepatitis B using a deep learning-based data integration network.

Journal: Hepatology international
PMID: 35312969

Abstract

BACKGROUND AND AIMS: Chronic hepatitis B virus (CHB) infection remains a major global health burden and the non-invasive and accurate diagnosis of significant liver fibrosis (≥ F2) in CHB patients is clinically very important. This study aimed to assess the potential of the joint use of ultrasound images of liver parenchyma, liver stiffness values, and patients' clinical parameters in a deep learning model to improve the diagnosis of ≥ F2 in CHB patients.

Authors

  • Zhong Liu
    Science and Technology on Information Systems Engineering Laboratory, College of Information System and Management, National University of Defense Technology, Changsha, Hunan, China.
  • Huiying Wen
  • Ziqi Zhu
    National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Shenzhen University, Shenzhen, People's Republic of China.
  • Qinyuan Li
    First Medical College of Guangdong Medical University, Zhanjiang, People's Republic of China.
  • Li Liu
    Metanotitia Inc., Shenzhen, China.
  • Tianjiao Li
    School of Management Science and Engineering, Shanxi University of Finance and Economics, Taiyuan 030006, China.
  • Wencong Xu
    National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Shenzhen University, Shenzhen, People's Republic of China.
  • Chao Hou
    Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
  • Bin Huang
    Department of Clinical Laboratory, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Zhiyan Li
    National Clinical Research Centre for Infectious Disease, Department of Ultrasound, Shenzhen Third People's Hospital, Shenzhen, People's Republic of China.
  • Changfeng Dong
    National Clinical Research Centre for Infectious Disease, Department of Ultrasound, Shenzhen Third People's Hospital, Shenzhen, People's Republic of China. chaosheng-02@szsy.sustech.edu.cn.
  • Xin Chen
    University of Nottingham, Nottingham, United Kingdom.

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