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dc.contributor.authorSkalli, W
dc.contributor.authorVergari, C
dc.contributor.authorEbermeyer, E
dc.contributor.authorCourtois, I
dc.contributor.authorDrevelle, X
dc.contributor.authorKohler, R
dc.contributor.authorAbelin-Genevois, K
dc.contributor.authorDubousset, J
dc.date.accessioned2016-11-17T15:07:23Z
dc.date.issued2016-10-24
dc.description.abstractSTUDY DESIGN: Early detection of progressive adolescent idiopathic scoliosis (AIS) was assessed based on 3D quantification of the deformity. OBJECTIVE: Based on 3D quantitative description of scoliosis curves, the aim is to assess a specific phenotype that could be an early detectable severity index for progressive AIS. SUMMARY OF BACKGROUND DATA: Early detection of progressive scoliosis is important for adapted treatment to limit progression. However, progression risk assessment is mainly based on the follow up, waiting for signs of rapid progression that generally occur during the growth peak. METHODS: 65 mild scoliosis (16 boys, 49 girls, Cobb Angle between 10 and 20°) with a Risser between 0 and 2 were followed from their first exam until a decision was made by the clinician, either considering the spine as stable at the end of growth (26 patients) or planning to brace because of progression (39 patients). Calibrated bi-planar X-rays were performed and 3D reconstructions of the spine allowed to calculate six local parameters related to main curve deformity. For progressive curve 3D phenotype assessment, data were compared to those previously assessed for 30 severe scoliosis (Cobb Angle > 35°), 17 scoliosis before brace (Cobb Angle > 29°) and 53 spines of non-scoliosis subjects. A predictive discriminant analysis was performed to assess similarity of mild scoliosis curves either to those of scoliosis or non-scoliosis spines, yielding a severity index (S-index). S-index value at first exam was compared to clinical outcome. RESULTS: At the first exam, 53 out of 65 predictions (82%) were in agreement with actual clinical outcome. 89% of the curves that were predicted as progressive proved accurate. CONCLUSION: Although still requiring large scale validation, results are promising for early detection of progressive curves.en_GB
dc.identifier.citationPublished online 24 October 2016en_GB
dc.identifier.doi10.1097/BRS.0000000000001961
dc.identifier.urihttp://hdl.handle.net/10871/24493
dc.language.isoenen_GB
dc.publisherLippincott, Williams & Wilkinsen_GB
dc.relation.urlhttp://www.ncbi.nlm.nih.gov/pubmed/27779608en_GB
dc.rights.embargoreasonPublisher's policy.en_GB
dc.rightsThis is the author accepted manuscript. The final version is available from Lippincott, Williams & Wilkins via the DOI in this record.en_GB
dc.subject3D quantificationen_GB
dc.subjectprognosisen_GB
dc.subjectprogressionen_GB
dc.subjectscoliosisen_GB
dc.subjectseverity indexen_GB
dc.titleEarly Detection of Progressive Adolescent Idiopathic Scoliosis: A Severity Index.en_GB
dc.typeArticleen_GB
dc.identifier.issn0362-2436
exeter.place-of-publicationUnited Statesen_GB
dc.descriptionPublished onlineen_GB
dc.descriptionJournal Articleen_GB
dc.identifier.eissn1528-1159
dc.identifier.journalSpineen_GB


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