Who Are the Anatomic Outliers Undergoing Total Knee Arthroplasty? A Computed Tomography-Based Analysis of the Hip-Knee-Ankle Axis Across 1,352 Preoperative Computed Tomographies Using a Deep Learning and Computer Vision-Based Pipeline.

Journal: The Journal of arthroplasty
Published Date: Mar 27, 2024

Abstract

BACKGROUND: Dissatisfaction after total knee arthroplasty (TKA) ranges from 15 to 30%. While patient selection may be partially responsible, morphological and reconstructive challenges may be determinants. Preoperative computed tomography (CT) scans for TKA planning allow us to evaluate the hip-knee-ankle axis and establish a baseline phenotypic distribution across anatomic parameters. The purpose of this cross-sectional analysis was to establish the distributions of 27 parameters in a pre-TKA cohort and perform threshold analysis to identify anatomic outliers.

Authors

  • Joshua J Woo
    Brown University, Providence, Rhode Island.
  • Faizaan R Vidhani
    Brown University/The Warren Alpert School of Brown University, Providence, Rhode Island.
  • Yibin B Zhang
    Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Reena J Olsen
    Sports Medicine Institute, Hospital for Special Surgery, New York, New York.
  • Danyal H Nawabi
    Sports Medicine - Hip Preservation Service, Hospital for Special Surgery, New York, New York, USA.
  • Wolfgang Fitz
    Harvard Medical School/Brigham and Women's, Boston, Massachusetts.
  • Antonia F Chen
    Department of Orthopaedic Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
  • Richard Iorio
    Department of Orthopaedic Surgery, Brigham & Women's Hospital, Boston, MA.
  • Prem N Ramkumar
    Department of Orthopedic Surgery, Cleveland Clinic, Cleveland, OH.

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