A radiogenomics study on F-FDG PET/CT in endometrial cancer by a novel deep learning segmentation algorithm.

Journal: BMC cancer
Published Date: Jun 5, 2025

Abstract

OBJECTIVE: To create an automated PET/CT segmentation method and radiomics model to forecast Mismatch repair (MMR) and TP53 gene expression in endometrial cancer patients, and to examine the effect of gene expression variability on image texture features.

Authors

  • Xuanyi Li
    Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing, PR China.
  • Weijun Shi
    The Second Clinical College of China Medical University, Shenyang, 110004, China.
  • Qianwen Zhang
    The Second Clinical College of China Medical University, Shenyang, 110004, China.
  • Xinhui Lin
    School of Stomatology, China Medical University, Shenyang, Liaoning, 110004, China.
  • Hongzan Sun
    Shengjing Hospital, China Medical University, Shenyang, 110001, China.

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