Preoperative CT-based radiomics and deep learning model for predicting risk stratification of gastric gastrointestinal stromal tumors.

Journal: Medical physics
PMID: 38935330

Abstract

BACKGROUND: Gastrointestinal stromal tumors (GISTs) are clinically heterogeneous with various malignant potential in different individuals. It is crucial to explore a reliable method for preoperative risk stratification of gastric GISTs noninvasively.

Authors

  • Ping Yang
    Key Laboratory of Grain and Oil Processing and Food Safety of Sichuan Province, College of Food and Bioengineering, Xihua University Chengdu 610039 China xingyage1@163.com.
  • Jiamei Wu
  • Mengqi Liu
    Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Yineng Zheng
    Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
  • Xiaofang Zhao
    Beijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, 100069, P. R. China.
  • Yun Mao
    Department of Imaging, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

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