Deep Learning Radiomics Model Based on Computed Tomography Image for Predicting the Classification of Osteoporotic Vertebral Fractures: Algorithm Development and Validation.

Journal: JMIR medical informatics
Published Date: Aug 29, 2025

Abstract

BACKGROUND: Osteoporotic vertebral fractures (OVFs) are common in older adults and often lead to disability if not properly diagnosed and classified. With the increased use of computed tomography (CT) imaging and the development of radiomics and deep learning technologies, there is potential to improve the classification accuracy of OVFs.

Authors

  • Jiayi Liu
    Beijing University of Chinese Medicine, China-Japan Friendship Clinical School of Medicine, Beijing, 100029, People's Republic of China.
  • Lincen Zhang
    Department of Radiology, Sir Run Run Hospital, Nanjing Medical University, 109 Longmian Road, Nanjing, 211100, China, 86 18851667275.
  • Yousheng Yuan
    Department of Radiology, Sir Run Run Hospital, Nanjing Medical University, 109 Longmian Road, Nanjing, 211100, China, 86 18851667275.
  • Jun Tang
    School of Electronics and Information Engineering, Anhui University, Hefei, China.
  • Yongkang Liu
    Department of Radiology, The Affiliated Hospital of Nanjing University of Chinese Medicine, 155 Hanzhong Road, Nanjing, Jiangsu, 210004, PR China (Y.L.).
  • Liang Xia
    Department of Radiology, Sir RunRun Hospital affiliated to Nanjing Medical University, 109 Longmian Road, Nanjing, Jiangsu, 211002, PR China (J.Z., L.X., W.Z., J.L., Z.L.).
  • Jun Zhang
    First School of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.

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