Contrast-Enhanced Ultrasound with Deep Learning with Attention Mechanisms for Predicting Microvascular Invasion in Single Hepatocellular Carcinoma.

Journal: Academic radiology
Published Date: Dec 23, 2022

Abstract

RATIONALE AND OBJECTIVES: Prediction of microvascular invasion (MVI) status of hepatocellular carcinoma (HCC) holds clinical significance for decision-making regarding the treatment strategy and evaluation of patient prognosis. We developed a deep learning (DL) model based on contrast-enhanced ultrasound (CEUS) to predict MVI of HCC.

Authors

  • Xiachuan Qin
    Department of Ultrasound, The Second Clinical Medical College, North Sichuan Medical College, Nan Chong, China.
  • Jianhui Zhu
    Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology, Anhui University, Hefei, Anhui, China.
  • Zhengzheng Tu
    Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology, Anhui University, Hefei, Anhui, China.
  • Qianqing Ma
    Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Hefei, AH, China, 230022.
  • Jin Tang
    Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Computer Science and Technology, Anhui University, Hefei, China; Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, China.
  • Chaoxue Zhang
    Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Hefei, China.

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