Current clinical scores for predicting patellar instability treatment outcomes rely on 2D imaging measurements that do not fully describe 3D anatomy. Marissa Sinopoli and a team of Mobilize Center researchers at Stanford University developed a novel 3D medical imaging-based anatomical score for patellar instability. The team analyzed magnetic resonance images from 270 participants with and without patellar instability to derive 3D measures. The resulting 3D-Patellar Instability Anatomical Severity Score (3D-PASS) best correlated with patient-reported outcomes. This technique can use any 3D scan of the bony anatomy and has the potential to help identify patients who may or may not benefit from surgery or other interventions.
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