Deep Learning Phenotype Automation and Cohort Analyses of 1,946 Knees Using the Coronal Plane Alignment of the Knee Classification.

Journal: The Journal of arthroplasty
PMID: 36858128

Abstract

BACKGROUND: The Coronal Plane Alignment of the Knee (CPAK) classification allows for knee phenotyping which can be used in preoperative planning prior to total knee arthroplasty. We used deep learning (DL) to automate knee phenotyping and analyzed CPAK distributions in a large patient cohort.

Authors

  • John R Steele
    Adult Reconstruction and Joint Replacement Service, Hospital for Special Surgery, New York, New York; Towson Orthopaedic Associates, Orthopaedic Institute at St. Joseph's Medical Center, Towson, Maryland.
  • Seong Jun Jang
    Weill Cornell College of Medicine, New York, New York; Department of Orthopedic Surgery, Hospital for Special Surgery, New York, New York.
  • Zachary R Brilliant
    University of Maryland, Baltimore, Maryland.
  • David J Mayman
    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.
  • Peter K Sculco
    The Stavros Niarchos Foundation Complex Joint Reconstruction Center, Department of Orthopaedic Surgery, Hospital for Special Surgery, Washington, District of Columbia, USA.
  • 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.
  • 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.

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