Development and Validation of a Deep-Learning Model to Predict Total Hip Replacement on Radiographs: The Total Hip Replacement Prediction (THREP) Model.

Journal: The Journal of bone and joint surgery. American volume
Published Date: Dec 12, 2023

Abstract

BACKGROUND: There are few methods for accurately assessing the risk of total hip arthroplasty (THA) in patients with osteoarthritis. A novel and reliable method that could play a substantial role in research and clinical routine should be investigated. The purpose of the present study was to develop a deep-learning model that can reliably predict the risk of THA with use of radiographic images and clinical symptom data.

Authors

  • Yi Xu
    School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, PR China.
  • Hao Xiong
  • Weixuan Liu
    Department of Orthopedics, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
  • Hang Liu
    Interventional Department, Changhai Hospital, Second Military Medical University, Shanghai 200433, China.
  • Jingyi Guo
    Clinical Research Center, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
  • Wei Wang
    State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau 999078, China.
  • Hongjiang Ruan
    Department of Orthopedics, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
  • Ziyang Sun
    Department of Orthopedics, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
  • Cunyi Fan
    Department of Orthopedics, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.

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