Predicting osteoporotic fractures post-vertebroplasty: a machine learning approach with a web-based calculator.

Journal: BMC surgery
Published Date: May 9, 2024

Abstract

PURPOSE: The aim of this study was to develop and validate a machine learning (ML) model for predicting the risk of new osteoporotic vertebral compression fracture (OVCF) in patients who underwent percutaneous vertebroplasty (PVP) and to create a user-friendly web-based calculator for clinical use.

Authors

  • Sanying Cai
    Department of Anesthesiology, Mindong Hospital Affiliated to Fujian Medical University, Fuan, China.
  • Wencai Liu
    Department of Orthopaedics, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
  • Xintian Cai
    Department of Graduate School, Xinjiang Medical University, Urumqi, China.
  • Chan Xu
    State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics & Center for Molecular Imaging and Translational Medicine, School of Public Health, Xiamen University, Xiamen, China.
  • Zhaohui Hu
    Department of Spine Surgery, Liuzhou People's Hospital, Liuzhou, China.
  • Xubin Quan
    Department of Spine Surgery, Liuzhou People's Hospital, Liuzhou, China.
  • Yizhuo Deng
    Department of Spine Surgery, Liuzhou People's Hospital, Liuzhou, China.
  • Hongjie Yao
    Department of Spine Surgery, Liuzhou People's Hospital, Liuzhou, China.
  • Binghao Chen
    Department of Spine Surgery, Liuzhou People's Hospital, Liuzhou, China.
  • Wenle Li
    Guangxi University of Chinese Medicine, Nanning, 530000, People's Republic of China.
  • Chengliang Yin
    Faculty of Medicine, Macau University of Science and Technology, Macau, People's Republic of China.
  • Qingshan Xu
    School of Civil Aviation, Northwestern Polytechnical University, Xi'an 710072, China.

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