Enhancing patella positioning and tracking in Total Knee Arthroplasty using Image-Based Robotic Surgery: A Comprehensive Surgical Technique.

Abstract

Patellar resurfacing during total knee arthroplasty (TKA) remains a contentious topic, particularly with rising patient expectations for functional outcomes. This article highlights a novel approach utilizing image-based robotic-assisted technology (MAKO, Stryker®) to enhance patellar positioning and tracking during TKA. We outline the step-by-step approach for patellar resurfacing, that the authors anticipate could be evaluated in future studies for its potential impact on clinical outcomes like alleviating anterior knee pain and improved functional performance in active patients. This comprehensive technique facilitates precise implantation and assessment of patellar anatomy, promoting a standardized and reproducible surgical approach. Looking ahead, we advocate for enhancements in robotic software to standardize patellar measurements, ultimately aiming to refine surgical techniques and improve patient quality of life.