Radiomics and machine learning for osteoporosis detection using abdominal computed tomography: a retrospective multicenter study.

Journal: BMC medical imaging
Published Date: Jul 1, 2025

Abstract

OBJECTIVE: This study aimed to develop and validate a predictive model to detect osteoporosis using radiomic features and machine learning (ML) approaches from lumbar spine computed tomography (CT) images during an abdominal CT examination.

Authors

  • Zhai Liu
    Department of Radiology and Nuclear Medicine, The First Hospital of Hebei Medical University, Shijiazhuang, 050031, China.
  • Yongjun Li
    Peking University Aerospace School of Clinical Medicine, Beijing, China.
  • Chenguang Zhang
    The Second Clinical College, Dalian Medical University, Dalian, Liaoning, China.
  • Hui Xu
    No 202 Hospital of People's Liberation Army, Liaoning 110003, China.
  • Junlu Zhao
    Department of Radiology and Nuclear Medicine, The First Hospital of Hebei Medical University, Shijiazhuang, 050031, China.
  • Chencui Huang
    Department of Research Collaboration, R&D Center, Beijing Deepwise & League of PHD Technology Co., Ltd., Beijing, China.
  • Xingzhi Chen
    Department of Research Collaboration, R&D center, Beijing Deepwise & League of PHD Technology Co., Ltd, Beijing, PR China, 100080.
  • Qingyun Ren

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