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首页> 外文期刊>Gait & posture >Frontal plane alignment: an imageless method to predict the mechanical femoral-tibial angle (mFTA) based on functional determination of joint centres and axes.
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Frontal plane alignment: an imageless method to predict the mechanical femoral-tibial angle (mFTA) based on functional determination of joint centres and axes.

机译：额面对齐：一种基于关节中心和轴功能确定的无机械方法来预测股骨胫骨机械角（mFTA）的方法。

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摘要

Lower limb alignment is important for the internal loading conditions in the knee. In this study, we aimed to evaluate a new imageless, non-invasive method for quantifying frontal plane alignment by direct comparison against CT. To determine the mechanical femoral-tibial angle (mFTA), functional posture analysis was performed in 15 limbs (13 individuals) using previously published methods for the minimisation of skin marker artefact together with the functional identification of joints, and compared against a published regression method. Whilst the average Functional-mFTA (1.3 + or - 2.3) was not significantly different (p > 0.25) from the CT-mFTA (1.5 + or - 2.1), the Regression-mFTA (4.7 + or - 5.6) showed a significant error (p < 0.01). The Functional-mFTA correlated significantly (R = 0.91; p < 0.0001), with a small bias (0.3 degrees) and agreed better with the CT-mFTA than the Regression-mFTA (R = 0.76; p < 0.001), which had a bias of 3.4 degrees. The results demonstrate that the mFTA can be quantified accurately using an imageless, non-invasive functional approach, which also offers greater accuracy over regression methods.These new techniques could provide an accurate, non-invasive approach for quantifying frontal plane alignment, particularly in cases where X-rays may not be available.
机译：下肢对准对于膝盖的内部负重状况很重要。在这项研究中，我们旨在评估一种新的无图像，无创方法，可通过与CT直接比较来量化额面对齐。为了确定股骨胫骨机械角（mFTA），使用先前发布的方法将15个肢体（13个个体）进行功能性姿势分析，以最小化皮肤标志物的伪造以及关节的功能识别，并与已发布的回归方法进行比较。平均功能性mFTA（1.3 +或-2.3）与CT-mFTA（1.5 +或-2.1）没有显着差异（p> 0.25），而回归mFTA（4.7 +或-5.6）显示出显着误差（p <0.01）。功能性mFTA显着相关（R = 0.91; p <0.0001），偏差较小（0.3度），并且与CT-mFTA的一致性优于回归mFTA（R = 0.76; p <0.001），后者具有偏差为3.4度。结果表明，mFTA可以使用无图像的非侵入性功能方法进行准确定量，与回归方法相比，其准确性更高。这些新技术可以提供一种准确的非侵入性方法来量化额面对齐，特别是在某些情况下X射线可能不可用的地方。

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