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使用基于机器人技术和图像技术在体内测量膝关节在三个自由度上的松弛度。

Measuring Knee Joint Laxity in Three Degrees-of-Freedom In Vivo Using a Robotics- and Image-Based Technology.

作者信息

Kümmerlin Jana, Fabro Hannah Katharina, Pedersen Peter Heide, Jensen Kenneth Krogh, Pedersen Dennis, Andersen Michael Skipper

机构信息

Department of Mechanical Engineering, Ostbayerische Technische Hochschule Regensburg, Galgenbergstraße 30, Regensburg D-93053, Germany.

Department of Orthopedic Surgery, Aalborg University Hospital, Hobrovej 18-22, DK-9000, Denmark.

出版信息

J Biomech Eng. 2022 Aug 1;144(8). doi: 10.1115/1.4053792.

Abstract

Accurate and reliable information about three-dimensional (3D) knee joint laxity can prevent misdiagnosis and avoid incorrect treatments. Nevertheless, knee laxity assessments presented in the literature suffer from significant drawbacks such as soft tissue artifacts, restricting the knee within the measurement, and the absence of quantitative knee ligament property information. In this study, we demonstrated the applicability of a novel methodology for measuring 3D knee laxity, combining robotics- and image-based technology. As such technology has never been applied to healthy living subjects, the aims of this study were to develop novel technology to measure 3D knee laxity in vivo and to provide proof-of-concept 3D knee laxity measurements. To measure tibiofemoral movements, four healthy subjects were placed on a custom-built arthrometer located inside a low dose biplanar X-ray system with an approximately 60 deg knee flexion angle. Anteroposterior and mediolateral translation as well as internal and external rotation loads were subsequently applied to the unconstrained leg, which was placed inside a pneumatic cast boot. Bone contours were segmented in the obtained X-rays, to which subject-specific bone geometries from magnetic resonance imaging (MRI) scans were registered. Afterward, tibiofemoral poses were computed. Measurements of primary and secondary laxity revealed considerable interpersonal differences. The method differs from those available by the ability to accurately track secondary laxity of the unrestricted knee and to apply coupled forces in multiple planes. Our methodology can provide reliable information for academic knee ligament research as well as for clinical diagnostics in the future.

摘要

关于三维(3D)膝关节松弛度的准确可靠信息可以预防误诊并避免不当治疗。然而,文献中提出的膝关节松弛度评估存在显著缺陷,如软组织伪影、在测量过程中限制膝关节活动,以及缺乏膝关节韧带属性的定量信息。在本研究中,我们展示了一种结合机器人技术和基于图像技术来测量3D膝关节松弛度的新方法的适用性。由于该技术从未应用于健康的活体受试者,本研究的目的是开发用于在体内测量3D膝关节松弛度的新技术,并提供3D膝关节松弛度测量的概念验证。为了测量胫股关节运动,四名健康受试者被放置在一个定制的关节测量仪上,该测量仪位于一个低剂量双平面X射线系统内,膝关节屈曲角度约为60°。随后,对置于气动石膏靴内的非受限腿施加前后向和内外侧平移以及内旋和外旋负荷。在获得的X射线中分割出骨骼轮廓,并将磁共振成像(MRI)扫描得到的个体特异性骨骼几何形状配准到这些轮廓上。之后,计算胫股关节位姿。初次和二次松弛度的测量显示出相当大的个体差异。该方法与现有方法的不同之处在于能够准确跟踪非受限膝关节的二次松弛度,并在多个平面上施加耦合力。我们的方法可为未来的学术膝关节韧带研究以及临床诊断提供可靠信息。

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