Optimization of Kinematics in Robotic Total Knee Arthroplasty- A New Classification for Functional Coronal Alignment

Description

This presentation discusses advancements in knee morphology assessment through 3D imaging and the effectiveness of the CPAC (Constrained Morphology Analysis of the Knee) classification system. The speaker emphasizes the importance of this system in guiding surgical decisions by categorizing nine different knee morphologies based on factors like joint line obliquity. A dataset from robotic-assisted surgeries at NYU is examined, focusing on pre-operative and post-operative CPAC classifications and patient demographics. The findings indicate a significant shift in knee alignment categories post-surgery, with a compelling trend suggesting that varus-aligned knees tend to retain their classification, while neutral and valgus groups may adjust more dramatically. The presenter advocates for refining the CPAC classification to enhance surgical outcomes, particularly in alignment strategies that avoid soft tissue releases, thereby improving patient satisfaction. The culmination of the talk presents a simplified and more precise functional CPAC approach aimed at optimizing decision-making in orthopedic procedures.

DOI: 10.1302/3114-251042

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