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This paper describes a surgical technique using image-based robotic assistance (MAKO, Stryker®) to improve patellar positioning and tracking during total knee arthroplasty (TKA). The authors outline a step-by-step approach for patellar resurfacing with the goal of improving clinical outcomes such as alleviating anterior knee pain and improving functional performance. The technique aims to facilitate precise implantation and assessment of patellar anatomy, promoting a standardized and reproducible surgical approach.
This paper presents a detailed surgical technique for robotic-assisted patellar resurfacing in TKA, potentially improving patellar tracking and reducing anterior knee pain.
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.
