ArticleEuropean spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society2019
Quasi-automatic early detection of progressive idiopathic scoliosis from biplanar radiography: a preliminary validation.
Article in 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, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Advanced machine learning model for Cobb angle progression in adolescent idiopathic scoliosis with surface topography: a multicenter, prospective, observational study.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 · 2026Article
- Comparative analysis of a manual and an automated 3D landmark digitization method of the torso in adolescents with idiopathic scoliosis.Scientific reports · 2026Article
- Idiopathic Scoliosis Progression: Presenting Rib and Segmental Rib Index as Predictors-A Literature Review.Medical sciences (Basel, Switzerland) · 2025Review
- 3D external shape analysis and barycentremetry can provide early signs of progression in adolescent idiopathic scoliosis.Spine deformity · 2025Article
- Assessment of malalignment at early stage in adolescent idiopathic scoliosis: a longitudinal cohort study.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 · 2024Article
- A fresh look at spinal alignment and deformities: Automated analysis of a large database of 9832 biplanar radiographs.Frontiers in bioengineering and biotechnology · 2022Article
- Effect of curve location on the severity index for adolescent idiopathic scoliosis: a longitudinal cohort study.European radiology · 2021Article
- Comparison of 3D and 2D characterization of spinal geometry from biplanar X-rays: a large cohort study.Quantitative imaging in medicine and surgery · 2021Article
- Validation of Scolioscan Air-Portable Radiation-Free Three-Dimensional Ultrasound Imaging Assessment System for Scoliosis.Sensors (Basel, Switzerland) · 2021Article
- Accounting for Biomechanical Measures from Musculoskeletal Simulation of Upright Posture Does Not Enhance the Prediction of Curve Progression in Adolescent Idiopathic Scoliosis.Frontiers in bioengineering and biotechnology · 2021Article
- Vertebral rotation estimation from frontal X-rays using a quasi-automated pedicle detection method.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 · 2019Article
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Authors and funding
12 authors.
Funding
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Abstract
purposeTo validate the predictive power and reliability of a novel quasi-automatic method to calculate the severity index of adolescent idiopathic scoliosis (AIS).
methodsFifty-five AIS patients were prospectively included (age 10-15, Cobb 16° ± 4°). Patients underwent low-dose biplanar X-rays, and a novel fast method for 3D reconstruction of the spine was performed. They were followed until skeletal maturity (stable patients) or brace prescription (progressive patients). The severity index was calculated at the first examination, based on 3D parameters of the scoliotic curve, and it was compared with the patient's final outcome (progressive or stable). Three operators have repeated the 3D reconstruction twice for a subset of 30 patients to assess reproducibility (through Cohen's kappa and intra-class correlation coefficient).
resultsEighty-five percentage of the patients were correctly classified as stable or progressive by the severity index, with a sensitivity of 92% and specificity of 74%. Substantial intra-operator agreement and good inter-operator agreement were observed, with 80% of the progressive patients correctly detected at the first examination. The novel severity index assessment took less than 4 min of operator time.
conclusionsThe fast and semiautomatic method for 3D reconstruction developed in this work allowed for a fast and reliable calculation of the severity index. The method is fast and user friendly. Once extensively validated, this severity index could allow very early initiation of conservative treatment for progressive patients, thus increasing treatment efficacy and therefore reducing the need for corrective surgery. These slides can be retrieved under Electronic Supplementary Material.
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