ArticleSpine deformity2025
Mobile device-based 3D scanning is superior to scoliometer in assessment of adolescent idiopathic scoliosis.
Article in Spine deformity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Multi-task learning for classification and prediction of adolescent idiopathic scoliosis based on fringe-projection three-dimensional imaging.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2025Article
- Management of adolescent scoliosis: a comprehensive review of etiology and rehabilitation.Frontiers in pediatrics · 2025Review
Corrections and comments
- Erratum issued
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeScreening for adolescent idiopathic scoliosis (AIS) currently relies on clinical evaluations by trained practitioners, most commonly using a scoliometer. Modern structured light 3D scanning can generate high-quality 3D representations of surface anatomy using a mobile device. We hypothesized that a mobile-based 3D scanning system would provide accurate deformity assessments compared to a scoliometer.
methodsBetween August 2020 and June 2022, patients 10-18 years being evaluated for AIS in our clinic with a scoliosis radiograph obtained within 30 days of clinic evaluation and no history of spinal surgery were enrolled. Patients had 3D scans taken in the upright and forward bend positions, and the largest angle of trunk rotation (ATR) was measured by a scoliometer. Image processing software was used to analyze trunk shift (TS), coronal balance (CB), and clavicle angle (CL) in the upright position and the largest ATR in the forward bend position. 3D and scoliometer measurements were correlated to major curve magnitude. Multiple logistic regression models were created based on 3D and scoliometer measurements, controlling for demographic covariates.
resultsTwo hundred and fifty-eight patients were included in this study. Mean coronal major curve magnitude was 25.7° (range 0-100), and 59% had a thoracic major curve. There were good-to-excellent correlations between 3D and radiographic measures of TS, CB, and CL (r = 0.79, rs = 0.80, and r = 0.64, respectively, p < 0.001). Correlations between 3D and radiographic measures of largest lumbar and thoracic ATR also demonstrated good correlations (r = 0.64 for both, p < 0.001). Using Akaike's Information Criterion (AIC), a multivariable logistic regression model based on 3D scanning outperformed a scoliometer model.
conclusionsMobile device-based 3D scanning of TS, CB, and TS identifies clinically relevant scoliotic deformity and is more predictive of radiographic curve magnitude than scoliometer in this population. This new modality may facilitate scoliosis screening by decreasing the need for trained personnel or dedicated equipment and clinical space to perform screening tests. LEVEL OF EVIDENCE: II.
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