Deep learning empowered gadolinium-free contrast-enhanced abbreviated MRI for diagnosing hepatocellular carcinoma.

Journal: JHEP reports : innovation in hepatology
Published Date: Mar 12, 2025

Abstract

BACKGROUND & AIMS: By reducing some magnetic resonance imaging (MRI) sequences, abbreviated MRI (aMRI) has shown extensive promise for detecting hepatocellular carcinoma (HCC). We aim to develop deep learning (DL)-based gadolinium-free contrast-enhanced (CE) aMRI protocols (DL-aMRI) for detecting HCC.

Authors

  • Yunfei Zhang
    Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Ruofan Sheng
    Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Xianling Qian
    Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Heqing Wang
    Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Fei Wu
    Zhejiang University, 38 Zheda Road, Hangzhou 310058, Zhejiang, China.
  • Haoran Dai
    Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Mingyue Song
    Department of Radiology, The Fourth Affiliated Hospital of Soochow University, Medical Center of Soochow University, Suzhou, China.
  • Chun Yang
    State Key Laboratory of Biogeology and Environmental Geology, School of Earth Sciences, China University of Geosciences, Wuhan, 430074, China.
  • Jianjun Zhou
    Beijing Key Laboratory of Energy Conversion and Storage Materials, College of Chemistry, Beijing Normal University Xinjiekouwai Street No. 19 Beijing 100875 P. R. China hhuo@bnu.edu.cn.
  • Weiguo Zhang
    Department of Radiology, The Fourth Affiliated Hospital of Soochow University, Medical Center of Soochow University, Suzhou, China.
  • Mengsu Zeng
    Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.

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