Increased Accuracy in Templating for Total Knee Arthroplasty Using 3D Models Generated from Radiographs

Autor: Elizabeth A. Klag, Vincent A. Lizzio, Michael A. Charters, Ayooluwa S. Ayoola, Luke Wesemann, Trevor R. Banka, W. Trevor North
Rok vydání: 2022
Předmět:
Zdroj: The Journal of Knee Surgery.
ISSN: 1938-2480
1538-8506
Popis: Templating prior to total hip arthroplasty is a widely adopted practice that aims to improve operative efficiency and reduce clinical outliers. Predicting implant size before total knee arthroplasty (TKA), although less common, could increase operating room efficiency by reducing necessary equipment needed for the procedure. This study compared templating accuracy in TKA using two-dimensional (2D) digital radiographs to a novel imaging technology that generates a three-dimensional (3D) model from these 2D radiographs. Two hundred and two robotic-assisted primary TKA surgical cases using Persona Knee System (Zimmer Biomet, Warsaw, IN) were retrospectively analyzed. For all cases, 3D templating was completed preoperatively using a novel radiographic image acquisition protocol. Using the same radiographs, the knee was templated using a 2D digital templating program. All surgeons were blinded to the final implant sizes, and all templating was done independently. The accuracy of predictions within ± 1 from the final implant size was determined for the femoral and tibial components. The accuracy (within 1 size) of tibial size predictions was comparable between attending surgeons and residents (87 vs. 82%, p = 0.08), but attending surgeons more accurately predicted the femoral size (77 vs. 60%, p
Databáze: OpenAIRE