Measurement of interspinous motion in dynamic cervical radiographs using a deep learning-based segmentation model.

Journal: Journal of neurosurgery. Spine
PMID: 37327141

Abstract

OBJECTIVE: Interspinous motion (ISM) is a representative method for evaluating the functional fusion status following anterior cervical discectomy and fusion (ACDF) surgery, but the associated measuring difficulty and potential errors in the clinical setting remain concerns. The aim of this study was to investigate the feasibility of a deep learning-based segmentation model for measuring ISM in patients who underwent ACDF surgery.

Authors

  • Dae-Woong Ham
    1Department of Orthopedic Surgery, Chung-Ang University Hospital, College of Medicine, Chung-Ang University, Dongjak-gu, Seoul.
  • Yang-Seon Choi
    1Department of Orthopedic Surgery, Chung-Ang University Hospital, College of Medicine, Chung-Ang University, Dongjak-gu, Seoul.
  • Yisack Yoo
    1Department of Orthopedic Surgery, Chung-Ang University Hospital, College of Medicine, Chung-Ang University, Dongjak-gu, Seoul.
  • Sang-Min Park
    2Department of Orthopedic Surgery, Seoul National University College of Medicine and Seoul National University Bundang Hospital, Gyeonggi-do, Seoul, South Korea.
  • Kwang-Sup Song
    1Department of Orthopedic Surgery, Chung-Ang University Hospital, College of Medicine, Chung-Ang University, Dongjak-gu, Seoul.

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