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多节段足模型测量高弓、中立、无症状扁平足和有症状扁平足类型的运动学差异的能力。

Ability of a multi-segment foot model to measure kinematic differences in cavus, neutrally aligned, asymptomatic planus, and symptomatic planus foot types.

机构信息

VA RR&D Center for Limb Loss and MoBility (CLiMB), Seattle, WA, United States; Department of Mechanical Engineering, University of Washington, Seattle, WA, United States.

VA RR&D Center for Limb Loss and MoBility (CLiMB), Seattle, WA, United States.

出版信息

Gait Posture. 2024 Sep;113:452-461. doi: 10.1016/j.gaitpost.2024.07.292. Epub 2024 Jul 18.

Abstract

BACKGROUND

Multi-segment foot models (MFMs) provide a better understanding of the intricate biomechanics of the foot, yet it is unclear if they accurately differentiate foot type function during locomotion.

RESEARCH QUESTION

We employed an MFM to detect subtle kinematic differences between foot types, including: pes cavus, neutrally aligned, and asymptomatic and symptomatic pes planus. The study investigates how variable the results of this MFM are and if it can detect kinematic differences between pathologic and non-pathologic foot types during the stance phase of gait.

METHODS

Independently, three raters instrumented three subjects on three days to assess variability. In a separate cohort, each foot type was statically quantified for ten subjects per group. Each subject walked while instrumented with a four-segment foot model to assess static alignment and foot motion during the stance phase of gait. Statistical analysis performed with a linear mixed effects regression.

RESULTS

Model variability was highest for between-day and lowest for between-rater, with all variability measures being within the true sample variance. Almost all static measures (radiographic, digital scan, and kinematic markers) differed significantly by foot type. Sagittal hindfoot to leg and forefoot to leg kinematics differed between foot types during late stance, as well as coronal hallux to forefoot range of motion. The MFM had low between-rater variability and may be suitable for multiple raters to apply to a single study sample without introducing significant error. The model, however, only detected a few dynamic differences, with the most dramatic being the hallux to forefoot coronal plane range of motion.

SIGNIFICANCE

Results only somewhat aligned with previous work. It remains unclear if the MFM is sensitive enough to accurately detect different motion between foot types (pathologic and non-pathologic). A more accurate method of tracking foot bone motion (e.g., biplane fluoroscopy) may be needed to address this question.

摘要

背景

多节段足模型 (MFMs) 提供了对足部复杂生物力学的更好理解,但尚不清楚它们是否能在运动过程中准确区分足型功能。

研究问题

我们使用 MFM 检测足型之间的细微运动学差异,包括:高弓足、中立位、无症状和有症状的扁平足。该研究调查了这种 MFM 的结果有多可变,以及它是否可以在步态的站立阶段检测病理和非病理足型之间的运动学差异。

方法

三位评估者在三天内独立对三位受试者进行评估,以评估变异性。在另一组中,对每组的十位受试者进行静态定量分析。每位受试者在四节段足模型的测量下行走,以评估静态对线和步态站立阶段的足部运动。统计分析采用线性混合效应回归。

结果

模型变异性在日间最高,在评估者之间最低,所有变异性测量值均在真实样本方差范围内。几乎所有静态测量值(影像学、数字扫描和运动学标记物)均根据足型显著不同。在足跟到小腿和前足到小腿的矢状位运动以及前足的冠状位大脚趾运动范围在后期站立时也存在足型差异。MFM 评估者之间的变异性低,适合多位评估者在单个研究样本中应用,而不会引入显著误差。然而,该模型仅检测到少数动态差异,最显著的是大脚趾到前足的冠状面运动范围。

意义

结果与之前的研究结果仅有些许一致。目前尚不清楚 MFM 是否足够灵敏以准确检测足型(病理和非病理)之间的不同运动。可能需要更准确的足部骨骼运动跟踪方法(例如,双平面荧光透视术)来解决这个问题。

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