Artificial intelligence clustering of adult spinal deformity sagittal plane morphology predicts surgical characteristics, alignment, and outcomes

ConclusionsThis study clustered preoperative lateral radiographs of ASD patients into groups with highly distinct overall spinal morphology and association with sagittal alignment parameters, baseline HRQOL, and surgical characteristics. The relationship between SVA and PJK differed by cluster. This study represents significant progress toward incorporation of computer vision into clinically relevant classification systems in adult spinal deformity.Level of Evidence IVDiagnostic: individual cross-sectional studies with the consistently applied reference standard and blinding.

http://link.springer.com/10.1007/s00586-021-06799-z

Source: European Spine Journal - April 15, 2021 Category: Orthopaedics Source Type: research