Deep Learning-Based Computer-Aided Diagnosis of Osteochondritis Dissecans of the Humeral Capitellum Using Ultrasound Images.

Journal: The Journal of bone and joint surgery. American volume
PMID: 38743813

Abstract

BACKGROUND: Ultrasonography is used to diagnose osteochondritis dissecans (OCD) of the humerus; however, its reliability depends on the technical proficiency of the examiner. Recently, computer-aided diagnosis (CAD) using deep learning has been applied in the field of medical science, and high diagnostic accuracy has been reported. We aimed to develop a deep learning-based CAD system for OCD detection on ultrasound images and to evaluate the accuracy of OCD detection using the CAD system.

Authors

  • Kenta Takatsuji
    Department of Orthopaedics, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
  • Yoshikazu Kida
    Department of Orthopaedics, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
  • Kenta Sasaki
    Graduate School of Engineering, University of Hyogo, Himeji, Hyogo, Japan.
  • Daisuke Fujita
    Department of Obstetrics and Gynecology, Osaka Medical College, Takatsuki, Japan.
  • Yusuke Kobayashi
    Department of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan.
  • Tsuyoshi Sukenari
    Department of Orthopaedics, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
  • Yoshihiro Kotoura
    Department of Orthopaedics, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
  • Masataka Minami
    Department of Orthopaedics, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
  • Syoji Kobashi
    Graduate School of Engineering, University of Hyogo, 2167 Shosha, Himeji, Hyogo, 671-2280, Japan.
  • Kenji Takahashi
    Department of Orthopaedics, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.

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