Appraisal of the DIERS method for calculating postural measurements: an observational study.

Q1 Medicine
Scoliosis and Spinal Disorders Pub Date : 2017-09-26 eCollection Date: 2017-01-01 DOI:10.1186/s13013-017-0134-y
Brian Degenhardt, Zane Starks, Shalini Bhatia, Gwyn Kelley-Franklin
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引用次数: 0

Abstract

Background: Surface topography is increasingly used with postural analysis. One system, DIERS formetric 4D, measures 40 defined spine shape parameters from a 6-s scan. Through system algorithms, a set of spine shape parameter values from 1 of 12 recorded images obtained during a scan becomes the DIERS-reported value (DRV) for postural assessment. The purpose of the current study was to compare DRV with a standard average value (SAV) calculated from all 12 images to determine which method is more appropriate for assessing postural change.

Methods: One mannequin and 30 human participants were scanned over 5 days. Values from each image and the DRV for 40 defined spine shape parameters were exported, and mean DRV, mean SAV, mean DRV, and within-scan variance were calculated. Absolute difference and percent change between mean DRV and mean SAV were calculated for the mannequin and humans. Inter-method reliability was calculated for humans. Within-scan variance for each parameter was tested for significant variability.

Results: For all spine shape parameters on the mannequin, absolute difference (< 0.6 mm, 0.1°, or 0.1%) and percent change (< 2.90%) between mean DRV and mean SAV for each parameter were small. Nine parameters on human participants had a large percent change (> 7%). Absolute difference between mean DRV and mean SAV for those nine parameters was small (≤ 0.87 mm or 0.61°). Absolute difference for all other parameters ranged from 0.02 to 6.98 mm for distance measurements, from 0.01 to 1.21° for angle measurements, and from 0.15 to 0.22% for percentage measurements. Inter-method reliability between DRV and SAV was excellent (0.94-1.00). For the mannequin, within-scan variance was small (< 1.62) for all parameters. For humans, within-scan variance ranged from 0.05 to 36.04 and was different from zero for all parameters (all P < 0.001).

Conclusions: The minimal variability observed in the mannequin suggested the DIERS formetric 4D instrument had high within-scan reliability. The DRV and SAV provided comparable spine shape parameter values. Because within-scan variability is not reported with the DRV, the clinical usefulness of current DRV values is limited. Establishing an estimate of variance with the SAV will allow clinicians to better identify a clinically meaningful change.

Abstract Image

Abstract Image

评价DIERS方法计算体位测量:一项观察性研究。
背景:表面形貌越来越多地用于姿势分析。其中一个系统,DIERS格式4D,通过6-s扫描测量40个定义的脊柱形状参数。通过系统算法,从扫描过程中获得的12个记录图像中的1个中获得一组脊柱形状参数值,成为diers报告值(DRV),用于姿势评估。本研究的目的是将DRV与所有12张图像计算的标准平均值(SAV)进行比较,以确定哪种方法更适合评估姿势变化。方法:对1个人体模型和30名人类受试者进行5天的扫描。导出每张图像和40个已定义脊柱形状参数的DRV值,并计算平均DRV、平均SAV、平均DRV和扫描内方差。计算人体模型和人的平均DRV和平均SAV的绝对差值和百分比变化。计算了人的方法间信度。对每个参数的扫描内方差进行显著变异性测试。结果:对人体模型上的所有脊柱形状参数,绝对差异(7%)。这9个参数的平均DRV和平均SAV的绝对差值较小(≤0.87 mm或0.61°)。对于距离测量,所有其他参数的绝对差值为0.02至6.98 mm,对于角度测量,绝对值差值为0.01至1.21°,对于百分比测量,绝对值差值为0.15至0.22%。DRV和SAV的方法间信度极好(0.94-1.00)。对于人体模型,扫描内方差很小(P结论:在人体模型中观察到的最小变异性表明DIERS成形4D仪器具有很高的扫描内可靠性。DRV和SAV提供了可比的脊柱形状参数值。由于扫描内的变异性没有报告与DRV,目前的DRV值的临床用途是有限的。建立SAV的方差估计将使临床医生更好地识别临床有意义的变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Scoliosis and Spinal Disorders
Scoliosis and Spinal Disorders Medicine-Orthopedics and Sports Medicine
CiteScore
5.60
自引率
0.00%
发文量
0
期刊介绍: Cessation.Scoliosis and Spinal Disorders is an open access, multidisciplinary journal that encompasses all aspects of research on prevention, diagnosis, treatment, outcomes and cost-analyses of conservative and surgical management of all spinal deformities and disorders. Both clinical and basic science reports form the cornerstone of the journal in its endeavour to provide original, primary studies as well as narrative/systematic reviews and meta-analyses to the academic community and beyond. Scoliosis and Spinal Disorders aims to provide an integrated and balanced view of cutting-edge spine research to further enhance effective collaboration among clinical spine specialists and scientists, and to ultimately improve patient outcomes based on an evidence-based spine care approach.
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