Multiscale deep learning radiomics for predicting recurrence-free survival in pancreatic cancer: A multicenter study.

Journal: Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
PMID: 39894259

Abstract

PURPOSE: This multicenter study aimed to develop and validate a multiscale deep learning radiomics nomogram for predicting recurrence-free survival (RFS) in patients with pancreatic ductal adenocarcinoma (PDAC).

Authors

  • Qianbiao Gu
    Department of Radiology, The Third Xiangya Hospital of Central South University, Changsha 410013, China; Department of Radiology, The People's Hospital of Hunan Province, The First Hospital Affiliated of Hunan Normal University, Changsha 410005, China.
  • Huiling Sun
    Department of CT and MR, Traditional Chinese Medicine Hospital of Changji Hui Autonomous Prefecture, 831100 Changji Hui Autonomous Prefecture, China.
  • Peng Liu
    Department of Clinical Pharmacy, Dazhou Central Hospital, Dazhou 635000, China.
  • Xiaoli Hu
    Department of Radiology, First Affiliated Hospital of Hunan University of Chinese Medicine, 410000 Changsha, China.
  • Jiankang Yang
    Department of Radiology, Yueyang Central Hospital, 414000 Yueyang, China.
  • Yong Chen
    Department of Urology, Chongqing University Fuling Hospital, Chongqing, China.
  • Yan Xing
    School of science, China Pharmaceutical University, Nanjing, China.

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