经胫骨截肢后残肢形态成像与分析的登记方法。

Q Medicine
Alexander S Dickinson, Joshua W Steer, Christopher J Woods, Peter R Worsley
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引用次数: 30

摘要

下肢截肢后成功的假肢康复依赖于一个安全舒适的假肢-残肢接口。目前的做法主要是使用主观的、反复的过程来确定牙槽形状,通常需要多次访问义肢专家。本研究提出了一种客观的方法,用于残肢形状扫描和高分辨率自动测量分析。三维打印的“模拟”残留物用三个表面数字化仪扫描了10次。通过重复模拟扫描与计算机辅助设计(CAD)几何形状之间的扫描高度误差以及扫描与CAD体积之间的扫描高度误差来测量精度。随后,20例男性残模由2名观察者扫描,10例由1名观察者重复扫描。对形状文件进行空间对齐,提取几何尺寸。通过类内相关性、扫描体积的Bland-Altman分析以及扫描面积和宽度剖面的两两均方根误差范围来评估重复性。在扫描模拟形状时达到了亚毫米精度,并且使用男性残余铸件,该过程在观察者内部和观察者之间高度可重复。该技术为临床研究人员和义肢专家提供了建立自己的定量、客观、多患者数据集的能力,为培训、长期随访和患者间结果比较提供了证据基础,为套孔设计提供决策支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Registering methodology for imaging and analysis of residual-limb shape after transtibial amputation.

Successful prosthetic rehabilitation following lower-limb amputation depends upon a safe and comfortable socket-residual limb interface. Current practice predominantly uses a subjective, iterative process to establish socket shape, often requiring several visits to a prosthetist. This study proposes an objective methodology for residual-limb shape scanning and analysis by high-resolution, automated measurements. A three-dimensional printed "analog" residuum was scanned with three surface digitizers on 10 occasions. Accuracy was measured by the scan height error between repeat analog scans and the computer-aided design (CAD) geometry and the scan versus CAD volume. Subsequently, 20 male residuum casts from ambulatory individuals with transtibial amputation were scanned by two observers, and 10 were repeat-scanned by one observer. The shape files were aligned spatially and geometric measurements extracted. Repeatability was evaluated by intraclass correlation, Bland-Altman analysis of scan volumes, and pairwise root-mean-square error ranges of scan area and width profiles. Submillimeter accuracy was achieved when scanning the analog shape, and using male residuum casts the process was highly repeatable within and between observers. The technique provides clinical researchers and prosthetists the capability to establish their own quantitative, objective, multipatient data sets, providing an evidence base for training, long-term follow-up, and interpatient outcome comparison, for decision support in socket design.

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来源期刊
CiteScore
1.64
自引率
0.00%
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