Document Detail


Classification of three-dimensional thoracic deformities in adolescent idiopathic scoliosis from a multivariate analysis.
MedLine Citation:
PMID:  21879413     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
PURPOSE: Understanding how to classify and quantify three-dimensional (3D) spinal deformities remains an open question in adolescent idiopathic scoliosis. The objective of this study was to perform a 3D manifold characterization of scoliotic spines demonstrating thoracic deformations using a novel geometric and intuitive statistical tool to determine patterns in pathological cases.
METHODS: Personalized 3D reconstructions of thoracic (T)/lumbar (L) spines from a cohort of 170 Lenke Type-1 patients were analyzed with a non-linear manifold embedding algorithm in order to reduce the high-dimensionality of the data, using statistical properties of neighbouring spine models. We extracted sub-groups of the data from the underlying manifold structure using an unsupervised clustering algorithm to understand the inherent distribution and determine classes of pathologies which appear from the low-dimensional space.
RESULTS: For Lenke Type-1 patients, four clusters were detected from the low-dimensional manifold of 3D models: (1) normal kyphosis (T) with hyper-lordosis (L) and high Cobb angles (37 cases), (2) low kyphosis (T) and normal lordosis (L), with high rotation of plane of maximum curvature (55 cases), (3) hypo-kyphotic (T) and hyper-lordosis (L) (21 cases) and (4) hyper-kyphotic (T) with strong vertebral rotation (57 cases). Results show the manifold representation can potentially be useful for classification of 3D spinal pathologies such as idiopathic scoliosis and serve as a tool for understanding the progression of deformities in longitudinal studies.
CONCLUSIONS: Quantitative evaluation illustrates that the complex space of spine variability can be modeled by a low-dimensional manifold and shows the existence of an additional hyper-kyphotic subgroup from the cohort of 3D spine reconstructions of Lenke Type-1 patients when compared with previous findings on the 3D classification of spinal deformities.
Authors:
Samuel Kadoury; Hubert Labelle
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Publication Detail:
Type:  Journal Article     Date:  2011-08-31
Journal Detail:
Title:  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     Volume:  21     ISSN:  1432-0932     ISO Abbreviation:  Eur Spine J     Publication Date:  2012 Jan 
Date Detail:
Created Date:  2012-01-06     Completed Date:  2012-09-24     Revised Date:  2013-06-27    
Medline Journal Info:
Nlm Unique ID:  9301980     Medline TA:  Eur Spine J     Country:  Germany    
Other Details:
Languages:  eng     Pagination:  40-9     Citation Subset:  IM    
Affiliation:
Philips Research North America, 345 Scarborough Rd, Briarcliff Manor, NY 10510, USA. samuel.kadoury@philips.com
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MeSH Terms
Descriptor/Qualifier:
Adolescent
Algorithms
Child
Cohort Studies
Female
Humans
Imaging, Three-Dimensional / methods*
Male
Multivariate Analysis
Predictive Value of Tests
Radiography / methods
Range of Motion, Articular / physiology
Reproducibility of Results
Scoliosis / classification*,  pathology,  radiography*
Thoracic Vertebrae / pathology,  radiography*
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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