12. Mobile device-based surface topography is a better predictor of spinal deformity than scoliometer

BACKGROUND CONTEXT Nonradiographic screening and diagnosis in adolescent idiopathic scoliosis (AIS) currently relies on scoliometer. We hypothesized that white-light based 3D scanning could generate high quality 3D representations of surface anatomy using a mobile device and would provide better deformity assessments compared to scoliometers. PURPOSE We hypothesized that WL3D would provide better deformity assessments compared to scoliometers. STUDY DESIGN/SETTING Cross-sectional, single center study. PATIENT SAMPLE Ten- to 18-year-olds presenting to an outpatient pediatric orthopedic clinic with scoliosis radiographs within 30 days of the visit for evaluation of AIS. OUTCOME MEASURES 3D scan identified spinal deformity. METHODS Patients 10- to 18-years-old presenting to an outpatient pediatric orthopedic clinic with scoliosis radiographs within 30 days of the visit for evaluation of AIS were approached for the study. 3D scans were taken in the upright and forward bend positions. Image processing software was used to make 3D measurements of trunk shift (TS), coronal balance (CB), and clavicle angle (CL) in upright position and largest angle of trunk rotation (ATR) as detected in the lumbar and thoracic spine in bending position. 3D trunk shift, coronal balance, and clavicle angle were compared to their analogous radiographic measurements. 3D ATR and ATR as measured by a scoliometer (SM) were correlated to major curve magnitude (MCM). Multivariable regressions models were created to predict likelihood of coronal cobb angle > 20 based on BMI and 3D measurements vs BMI and scoliometer. Model fit was compared using Akaike information criterion (AIC). RESULTS A total of 312 visits representing 258 patients were included. Mean age was 13.7 years, mean coronal MCM was 19.8+/- 13.0° for lumbar curves and 22.1+/-15.3° for thoracic curves. There was a significant correlation between 3D and radiographic CL (r = 0.65), TS (r = 0.8), and CB (r = 0.8) (p 20 including 3D data outperformed a model based on scoliometer data (AIC=206 vs 237). CONCLUSIONS Mobile device-based 3D scanning identifies clinically relevant scoliotic deformity and is a better predictor of major curve magnitude than scoliometer measurements. FDA Device/Drug Status This abstract does not discuss or include any applicable devices or drugs. Nonradiographic screening and diagnosis in adolescent idiopathic scoliosis (AIS) currently relies on scoliometer. We hypothesized that white-light based 3D scanning could generate high quality 3D representations of surface anatomy using a mobile device and would provide better deformity assessments compared to scoliometers. We hypothesized that WL3D would provide better deformity assessments compared to scoliometers. Cross-sectional, single center study. Ten- to 18-year-olds presenting to an outpatient pediatric orthopedic clinic with scoliosis radiographs within 30 days of the visit for evaluation of AIS. 3D scan identified spinal deformity. Patients 10- to 18-years-old presenting to an outpatient pediatric orthopedic clinic with scoliosis radiographs within 30 days of the visit for evaluation of AIS were approached for the study. 3D scans were taken in the upright and forward bend positions. Image processing software was used to make 3D measurements of trunk shift (TS), coronal balance (CB), and clavicle angle (CL) in upright position and largest angle of trunk rotation (ATR) as detected in the lumbar and thoracic spine in bending position. 3D trunk shift, coronal balance, and clavicle angle were compared to their analogous radiographic measurements. 3D ATR and ATR as measured by a scoliometer (SM) were correlated to major curve magnitude (MCM). Multivariable regressions models were created to predict likelihood of coronal cobb angle > 20 based on BMI and 3D measurements vs BMI and scoliometer. Model fit was compared using Akaike information criterion (AIC). A total of 312 visits representing 258 patients were included. Mean age was 13.7 years, mean coronal MCM was 19.8+/- 13.0° for lumbar curves and 22.1+/-15.3° for thoracic curves. There was a significant correlation between 3D and radiographic CL (r = 0.65), TS (r = 0.8), and CB (r = 0.8) (p 20 including 3D data outperformed a model based on scoliometer data (AIC=206 vs 237). Mobile device-based 3D scanning identifies clinically relevant scoliotic deformity and is a better predictor of major curve magnitude than scoliometer measurements.