A Deep Learning Tool for Minimum Joint Space Width Calculation on Antero-posterior Knee Radiographs.

Journal: The Journal of arthroplasty
Published Date: Jan 27, 2025

Abstract

BACKGROUND: Minimum joint space width (mJSW) is an important continuous quantitative metric of osteoarthritis progression in the knee. The purpose of this study was to develop an automated measurement algorithm for mJSW in the medial and lateral compartments of the knee that can flexibly handle native knees and knees after arthroplasty.

Authors

  • Kellen L Mulford
    Department of Orthopedic Surgery, Orthopedic Surgery Artificial Intelligence Laboratory, Mayo Clinic, Rochester, Minnesota.
  • Elizabeth S Kaji
    Orthopedic Surgery Artificial Intelligence Laboratory (OSAIL), Department of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota.
  • Austin F Grove
    Mayo Clinic, Rochester, Minnesota.
  • Sami Saniei
    Mayo Clinic, Rochester, MN, USA.
  • Miguel Girod-Hoffman
    Mayo Clinic, Rochester, MN, USA.
  • Hilal Maradit-Kremers
    Departments of Orthopedic Surgery (C.C.W., M.E.T., D.J.B., D.G.L., and H.M.-K.) and Health Sciences Research (S.F., Y.W., S.S., W.K.K., and H.M.-K.), Mayo Clinic, Rochester, Minnesota.
  • Matthew P Abdel
    Mayo Clinic Department of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota.
  • Michael J Taunton
    Department of Health Sciences Research, Mayo Clinic, Rochester, MN; Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN.
  • Cody C Wyles
    Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN.

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