Idiopathic Scoliosis in Three Dimensions

Perdriolle, R; Borgne, Pol Le; Dansereau, J.; Guise, Jacques A. de; Labelle, Hubert

doi:10.1097/00007632-200112150-00019

Cited by 40 publications

(11 citation statements)

References 9 publications

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“…Spatial representation of the spine was first approached by stereophotogrammetric reconstruction in 3D, which was based on computerized identification of corresponding anatomical landmarks in different radiographic images of the same spine [78,92]. The methods based on biplanar orthogonal radiography performed such identification in coronal and sagittal radiographs [65,67,74], while the methods based on biplanar oblique or multiplanar radiography performed such identification in two or multiple oblique radiographs [4,5,23,54,90]. However, biplanar and multiplanar radiographs are often termed two-and-ahalf-dimensional (2.5D) images, since the radiographs are actually 2D, but their combination allows the extraction of 3D structural information.…”

Section: Evaluation Of Spinal Curvature In 3d Imagesmentioning

confidence: 99%

“…In their framework for spine segmentation from CT images, Kaminsky et al [52] used spline functions because they proved appropriate to describe both the anatomical shape and the scoliotic deformations of the spine. Recently, Berthonnaud and Dimnet [10] constructed the spine curve separately in coronal and sagittal projections by computing the average Modeling with harmonic functions [26,27,48,70,90] 2, 4 RMS: 0.9 mm [48] SD: 0.9-2.0 mm [26,27] Modeling with spline functions [10,52,64,99] 2, 4 MAD: 0.8-3.4 mm [64] Modeling with polynomial functions [66,[102][103][104] [10,65,67,74]. b Modeling with mathematical functions, e.g., harmonic [26,27,48,70,90], spline [10,52,64,99] or polynomial [66,[102][103][104] functions of two spline functions that connected the anatomical landmarks on vertebral body walls.…”

Section: Evaluation Of Spinal Curvature In 3d Imagesmentioning

confidence: 99%

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A review of methods for quantitative evaluation of spinal curvature

2009

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The aim of this paper is to provide a complete overview of the existing methods for quantitative evaluation of spinal curvature from medical images, and to summarize the relevant publications, which may not only assist in the introduction of other researchers to the field, but also be a valuable resource for studying the existing methods or developing new methods and evaluation strategies. Key evaluation issues and future considerations, supported by the results of the overview, are also discussed.

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Section: Evaluation Of Spinal Curvature In 3d Imagesmentioning

confidence: 99%

Section: Evaluation Of Spinal Curvature In 3d Imagesmentioning

confidence: 99%

A review of methods for quantitative evaluation of spinal curvature

2009

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“…Without a known cause, AIS has been simply defined as a structural lateral curvature. However, the deformity is three-dimensional, which entails the coronal, sagittal and transverse planes of the spine [ 3 , 4 ]. AIS leads to significant functional disabilities, especially pulmonary impairment [ 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

Associations of LBX1 gene and adolescent idiopathic scoliosis susceptibility: a meta-analysis based on 34,626 subjects

Cao

Min

Zhang

et al. 2016

BMC Musculoskelet Disord

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BackgroundThe results of studies investigating the association between the ladybird homeobox 1 (LBX1) gene polymorphisms and the risk of adolescent idiopathic scoliosis (AIS) are not all the same. As such, we performed a meta-analysis to estimate the association between LBX1 gene polymorphisms and AIS susceptibility.MethodsRelevant studies published before 15 November 2015 were identified by searching PubMed, EMBASE, ISI web of knowledge, EBSCO, CNKI and CBM. The strength of relationship was assessed by using odds ratios (ORs) and 95 % confidence interval (CI).ResultsA total number of eight case-control studies including 10,088 cases and 24,538 controls were identified. The results showed that T allele of rs111090870 increased AIS susceptibility in Asians (T vs. C, OR = 1.22, 95 % CI: 1.16–1.29, P < 0.001), Caucasians (T vs. C, OR = 1.17, 95 % CI: 1.14–1.21, P < 0.001) and in female (T vs. C, OR = 1.21, 95 % CI: 1.17–1.25, P < 0.001). The G allele of rs678741 decreased AIS risk in female (G vs. A, OR = 0.83, 95 % CI: 0.81–0.85, P < 0.001), and the G allele of the rs625039 increased AIS susceptibility in Asians (G vs. A, OR = 1.14, 95 % CI: 1.11–1.17, P < 0.001).ConclusionsOur meta-analysis provides evidence that rs111090870, rs678741 and rs625039 polymorphisms near LBX1 gene are associated with AIS susceptibility in some populations. However, our findings are based on only a limited number of studies.Electronic supplementary materialThe online version of this article (doi:10.1186/s12891-016-1139-z) contains supplementary material, which is available to authorized users.

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“…A question remains unanswered, whether scoliotic patients show significantly different sagittal profile from the healthy population. Here, we believe that the spine with scoliosis should be examined and assessed three-dimensionally (Perdriolle et al, 2001).…”

Section: Discussionmentioning

confidence: 99%

Spinal shape analysis in 1,020 healthy young adults aged from 19 to 30 years

Krejčí¹,

Gallo²

2016

Acta Gymnica

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The studies provided only outcomes of thoracic kyphosis and lumbar lordosis curvatures in the sagittal plane. Lateral deviation in the frontal plane was not measured; 2) more statistical data than mean and standard deviation was provided rarely. To our knowledge, only Keller et al. (2005) provided the values of skewness and kurtosis and Boulay et al. (2006) showed a normal distribution of spinal variables; 3) the negative effect of radiography has been concerned repeatedly (Doody et al., 2000; Ronckers et al., 2010). Thus it is ethically disputable to load the normal population with a radiographic examination only in order to establish the spinal shape distribution in them. To overcome this obstacle non-radiographic methods for measurement of spine shape have been called (Patias, Grivas, Kaspiris, Aggouris, & Drakoutos, 2010). We developed and validated one of such method based on the determining

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Idiopathic Scoliosis in Three Dimensions

Cited by 40 publications

References 9 publications

A review of methods for quantitative evaluation of spinal curvature

A review of methods for quantitative evaluation of spinal curvature

Associations of LBX1 gene and adolescent idiopathic scoliosis susceptibility: a meta-analysis based on 34,626 subjects

Spinal shape analysis in 1,020 healthy young adults aged from 19 to 30 years

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