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
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.
Source: The Journal of Arthroplasty - Category: Orthopaedics Authors: Joshua J. Woo, Faizaan R. Vidhani, Yibin B. Zhang, Reena J. Olsen, Danyal H. Nawabi, Wolfgang Fitz, Antonia F. Chen, Richard Iorio, Prem N. Ramkumar Tags: Proceedings of the Knee Society 2023 Source Type: research
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