Radiographic findings involved in knee osteoarthritis progression are associated with pain symptom frequency and baseline disease severity: a population-level analysis using deep learning.

Journal: Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
PMID: 36367544

Abstract

PURPOSE: To (1) develop a deep-learning (DL) algorithm capable of producing limb-length and knee-alignment measurements, and (2) determine the association between limb-length discrepancy (LLD), coronal-plane alignment, osteoarthritis (OA) severity, and patient-reported knee pain.

Authors

  • Kyle N Kunze
    Department of Orthopedic Surgery, Hospital for Special Surgery, New York, NY, USA.
  • Seong Jun Jang
    Weill Cornell College of Medicine, New York, New York; Department of Orthopedic Surgery, Hospital for Special Surgery, New York, New York.
  • Tim Li
    Weill Cornell College of Medicine, New York, NY, USA.
  • David A Mayman
    Department of Orthopedic Surgery, Hospital for Special Surgery, 535 East 70th Street, New York, NY, 10021, USA.
  • Jonathan M Vigdorchik
    Department of Orthopedic Surgery, Hospital for Special Surgery, New York, New York; Adult Reconstruction and Joint Replacement Service, Hospital for Special Surgery, New York, New York.
  • Seth A Jerabek
    Department of Orthopedic Surgery, Hospital for Special Surgery, New York, New York; Adult Reconstruction and Joint Replacement Service, Hospital for Special Surgery, New York, New York.
  • Austin T Fragomen
    Limb Lengthening and Complex Reconstruction Service, Osseointegration Limb Replacement Center, Hospital for Special Surgery, New York, United States of America.
  • Peter K Sculco
    The Stavros Niarchos Foundation Complex Joint Reconstruction Center, Department of Orthopaedic Surgery, Hospital for Special Surgery, Washington, District of Columbia, USA.

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