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dc.contributor.author
 hal.structure.identifier
SKALLI, Wafa
99538 Laboratoire de biomécanique [LBM]
dc.contributor.author
 hal.structure.identifier
VERGARI, Claudio
34256 École nationale vétérinaire d'Alfort [ENVA]
37861 Biomécanique et Pathologie Locomotrice du Cheval [BPLC]
99538 Laboratoire de biomécanique [LBM]
dc.contributor.authorEBERMEYER, Eric
dc.contributor.authorCOURTOIS, Isabelle
dc.contributor.author
 hal.structure.identifier
DREVELLE, Xavier
99538 Laboratoire de biomécanique [LBM]
dc.contributor.author
 hal.structure.identifier
ABELIN-GENEVOIS, Kariman
690 Institut de mécanique des fluides de Toulouse [IMFT]
dc.contributor.authorKOHLER, Remi
dc.contributor.author
 hal.structure.identifier
DUBOUSSET, Jean
99538 Laboratoire de biomécanique [LBM]
464717 Chirurgie orthopédique et pédiatrique [Hôpital de la Timone - APHM]
dc.date.accessioned2017
dc.date.available2018
dc.date.issued2017
dc.date.submitted2017
dc.identifier.issn0362-2436
dc.identifier.urihttp://hdl.handle.net/10985/11806
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 deformation pattern 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 biplanar 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.
dc.language.isoen
dc.publisherLippincott, Williams & Wilkins
dc.rightsPost-print
dc.subjectscoliosis
dc.subjectprogression
dc.subject3D quantification
dc.subjectseverity index
dc.subjectprognosis
dc.titleEarly detection of progressive adolescent idiopathic scoliosis : a severity index
ensam.embargo.terms2018-01-01
dc.identifier.doi10.1097/BRS.0000000000001961
dc.typdocArticle dans une revue avec comité de lecture
dc.localisationCentre de Paris
dc.subject.halSciences de l'ingénieur: Mécanique: Biomécanique
ensam.audienceInternationale
ensam.page823–830
ensam.journalSpine
ensam.volume42
ensam.issue11
ensam.peerReviewingOui
hal.statusunsent


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