Deep Learning Model for Predicting Proliferative Hepatocellular Carcinoma Using Dynamic Contrast-Enhanced MRI: Implications for Early Recurrence Prediction Following Radical Resection.

Journal: Academic radiology
Published Date: May 15, 2024

Abstract

RATIONALE AND OBJECTIVES: The proliferative nature of hepatocellular carcinoma (HCC) is closely related to early recurrence following radical resection. This study develops and validates a deep learning (DL) prediction model to distinguish between proliferative and non-proliferative HCCs using dynamic contrast-enhanced MRI (DCE-MRI), aiming to refine preoperative assessments and optimize treatment strategies by assessing early recurrence risk.

Authors

  • Hui Qu
  • Shuairan Zhang
    Department of Gastroenterology, The First Hospital of China Medical University, Shenyang, PR China.
  • MiaoRan Guo
    Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, 110001, Liaoning, PR China.
  • Yuan Miao
  • Yuxi Han
    Department of Gastroenterology, The First Hospital of China Medical University, Shenyang, PR China.
  • Ronghui Ju
  • Xiaoyu Cui
    Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, 110169, Liaoning, China.
  • Yiling Li
    Department of Gastroenterology, The First Hospital of China Medical University, Shenyang, PR China. Electronic address: lyl-72@163.com.

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