Can Machine Learning Models Based on Computed Tomography Radiomics and Clinical Characteristics Provide Diagnostic Value for Epstein-Barr Virus-Associated Gastric Cancer?

Journal: Journal of computer assisted tomography
PMID: 38924393

Abstract

OBJECTIVE: The aim of this study was to explore whether machine learning model based on computed tomography (CT) radiomics and clinical characteristics can differentiate Epstein-Barr virus-associated gastric cancer (EBVaGC) from non-EBVaGC.

Authors

  • Ruilong Zong
    From the Department of Radiology, Xuzhou Central Hospital, Xuzhou, China.
  • Xijuan Ma
    From the Department of Radiology, Xuzhou Central Hospital, Xuzhou, China.
  • Yibing Shi
    From the Department of Radiology, Xuzhou Central Hospital, Xuzhou, China.
  • Li Geng
    Department of Radiology, The Affiliated Hospital of Xuzhou Medical University.

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