Continued Validation of Computational Method Assessing Patient-Specific Guide Stability for Shoulder Arthroplasty




Parmar, Megan

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In the context of shoulder arthroplasty, predicting the stability of patient-specific guides (PSGs) is crucial for surgical success. This study focuses on validating the OrthoGrasp computational model, designed to predict PSG stability tailored to individual patients. During the VKURA internship, we expanded OrthoGrasp's validation. This involved creating CAD models of six different glenoids (a component of the scapula) with varying geometries and designing corresponding PSGs. The PSGs featured a circular base with four legs, each with three variations of leg placement (versions 1, 2, and 3) and two contact options (versions A and B). We isolated the contact surfaces between the PSG legs and glenoid surface, saving them as 3D STLs and then converting them to JSON files to collect the vertices and faces of the model. These were input into OrthoGrasp as Shape and Grasp files (including a force for the surgeon's finger at the PSG's back center pocket) to calculate stability metrics for each PSG version. Additionally, we 3D printed one glenoid and its PSGs for a pilot test. This study contributes to the advancement of PSG stability predictions in shoulder arthroplasty. Such innovations promise to improve patient outcomes and enhance the precision of shoulder arthroplasty procedures.



Biomechanics, Engineering, VKURA, Arthroplasty, Patient-specific Guide, Computational Model