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区域峰值足底压力对区域边界定义高度敏感。

Regional peak plantar pressures are highly sensitive to region boundary definitions.

作者信息

Pataky Todd C, Caravaggi Paolo, Savage Russell, Crompton Robin H

机构信息

HACB, School of Biomedical Sciences, The University of Liverpool, Sherrington Buildings, Ashton Street, Liverpool L69 3GE, UK.

出版信息

J Biomech. 2008 Aug 28;41(12):2772-5. doi: 10.1016/j.jbiomech.2008.06.029.

Abstract

Traditional pedobarographic analyses subsample pressure data over a number of discrete anatomical regions of interest (ROIs). To our knowledge, the sensitivity of these data to ROI boundary definitions has not been previously addressed. Eight subjects each performed 20 trials of self-paced walking; commercial software was used to define 10 ROIs for each of the 160 total peak pressure images, and regional peak pressures (RPPs) were extracted for each image (total: 1600 values). We then asked three specific questions regarding RPP sensitivity to ROI boundary definition: (1) Is the ROI centroid representative of the RPP location? (2) How frequently do RPPs lie on the ROI boundary? and (3) By how much do RPP values change if the ROI boundary is changed by one pixel (resolution: 5.08 x 7.62 mm)? We found that the RPP locations differed from the ROI centroid in 80% of the cases and that the RPPs lay on the ROI boundary with a probability of 65%. We also found that a single-pixel change in the ROI boundary caused a mean RPP change of 10.8%. The most sensitive region was the midfoot for which a single-pixel ROI change yielded a median 29.4% change in RPP. These results indicate that RPP data are biased by regionalization schemes, which delineate pressure fields based on anatomy rather than on the field's geometric properties, and ultimately that regionalization may constitute a poor method of quantifying complex pressure fields. RPP sensitivity should be considered when making statistical inferences regarding foot function.

摘要

传统的足印分析是在多个离散的感兴趣解剖区域(ROI)上对压力数据进行子采样。据我们所知,这些数据对ROI边界定义的敏感性此前尚未得到探讨。八名受试者每人进行了20次自定步速行走试验;使用商业软件为总共160张峰值压力图像中的每一张定义10个ROI,并为每张图像提取区域峰值压力(RPP)(总计:1600个值)。然后,我们就RPP对ROI边界定义的敏感性提出了三个具体问题:(1)ROI质心是否代表RPP位置?(2)RPP位于ROI边界上的频率有多高?(3)如果ROI边界改变一个像素(分辨率:5.08×7.62毫米),RPP值会改变多少?我们发现,在80%的情况下,RPP位置与ROI质心不同,并且RPP位于ROI边界上的概率为65%。我们还发现,ROI边界的单个像素变化导致RPP平均变化10.8%。最敏感的区域是中足,对于该区域,ROI的单个像素变化导致RPP中位数变化29.4%。这些结果表明,RPP数据受到基于解剖结构而非压力场几何特性来描绘压力场的区域划分方案的影响,最终表明区域划分可能是一种量化复杂压力场较差的方法。在对足部功能进行统计推断时,应考虑RPP敏感性。

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