4.5 Article

Back surface measurements by rasterstereography for adolescent idiopathic scoliosis: from reproducibility to data reduction analyses

期刊

EUROPEAN SPINE JOURNAL
卷 27, 期 9, 页码 2130-2138

出版社

SPRINGER
DOI: 10.1007/s00586-018-5645-6

关键词

Surface topography; Spine shape; Scoliosis; Curve surveillance; Principal component analysis

向作者/读者索取更多资源

Aim of this cross-sectional study was to evaluate the reproducibility of back surface measurements obtained by rasterstereography (RS) in adolescents with idiopathic scoliosis (AIS), and to identify the most informative RS parameters through a multi-step reduction analysis approach. Sixty-six AIS were assessed with a RS scanner. The assessment was repeated in the same day 15 min after the first scan and after 1 week. Intraclass-correlation analyses were conducted to verify the consistency of the measurements. A multi-step reduction technique including correlation, principal component analysis (PCA) and regression was employed to extract a core-set of key RS parameters. Back surface measures were obtained from 66 AIS aged 10-17 years (median 13), with a mild Scoliosis angle < 25 (median 20). The reliability over the 3 sessions proved high to very high, with all the intraclass correlation coefficients ae 0.8 and 32 out of 48 coefficients ae 0.9. Only 8 of the 12 parameters provided by the RS device showed significant inter-item correlations and were therefore considered for further analyses. PCA extracted 4 of them, which entered the final regression analysis. High beta coefficients were found for 2 predictors: Surface rotation-rms and Side deviation-rms, which were found to be significantly associated with the dependent variable Scoliosis angle. Data showed that RS measurements are reliable in AIS with mild severity of scoliosis. Surface rotation and Side deviation were the best descriptors of the Scoliosis angle and should be considered as key parameters when surveilling AIS with mild curves by RS surface topography. These slides can be retrieved under Electronic Supplementary Material. [GRAPHICS] .

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据