Description
The presentation discusses a study on the assessment of phenotypes in a three-dimensional context, highlighting the deficiencies of the current cpak system used for evaluating coronal alignment in surgical candidates. It emphasizes the need for a more comprehensive approach that incorporates sagittal and other alignment aspects, citing a significant body of literature supporting this claim. The methodology involved segmenting and analyzing 318 CT scans with a validated system, categorizing findings into primary and secondary landmarks, and clustering bone morphologies for femur and tibia types. The results revealed 18 femur types and 20 tibia types, suggesting a predominance of normal mechanical alignments represented in the data. The presentation critiques the limitations of using conventional alignment methods, advocating for a new three-dimensional classification system informed by kinematic analysis and AI technology to enhance surgical decision-making. It concludes with a recognition of the complexity of the issues at hand while stressing the potential benefits of utilizing advanced data systems to derive actionable insights.