Multi-level multi-domain statistical shape model of the subtalar, talonavicular, and calcaneocuboid joints.

Multi-level multi-domain statistical shape model of the subtalar, talonavicular, and calcaneocuboid joints.
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多层多域统计形状模型,塔龙腔和钙尼角关节。

DOI:
10.3389/fbioe.2022.1056536
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发表时间:
2022
影响因子:
5.7
通讯作者:
Lenz, Amy L.
Lenz, Amy L.
中科院分区:
工程技术2区
文献类型:
--
作者:
Peterson, Andrew C.;Lisonbee, Rich J.;Krahenbuhl, Nicola;Saltzman, Charles L.;Barg, Alexej;Khan, Nawazish;Elhabian, Shireen Y.;Lenz, Amy L.

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传统上,二维常规x线片是测量足部和踝关节复杂形态的主要工具。然而,距下关节、距舟关节和跟骰关节由于其在踝关节内的骨形态和位置而具有挑战性。负重计算机断层扫描是一种新的高分辨率体积成像机制,允许详细生成三维骨重建。本研究旨在建立一个多域统计形状模型,以评估无症状人群距下、距舟骨和跟骰关节的形态和排列变化,并计算一致负重姿势下的三维关节测量值。具体的关节测量包括关节空间距离、同余和覆盖范围。值得注意的解剖变异主要包括距骨和跟骨,特别是距骨穹隆增高和跟骨缩短呈反比关系。虽然舟形和长方体形状变化很小,但这些关节内的排列变化;最显著的是前后轴的旋转。该研究还发现,多域建模可能能够预测种群内关节空间距离的测量。此外,这四块骨头在人群中的变化可能更多地是由形态学驱动的,而不是基于所有三个关节测量的排列变化。这些数据有助于我们进一步了解关节水平形态和排列变异,以指导踝关节病理护理和手术治疗的进展。
Traditionally, two-dimensional conventional radiographs have been the primary tool to measure the complex morphology of the foot and ankle. However, the subtalar, talonavicular, and calcaneocuboid joints are challenging to assess due to their bone morphology and locations within the ankle. Weightbearing computed tomography is a novel high-resolution volumetric imaging mechanism that allows detailed generation of 3D bone reconstructions. This study aimed to develop a multi-domain statistical shape model to assess morphologic and alignment variation of the subtalar, talonavicular, and calcaneocuboid joints across an asymptomatic population and calculate 3D joint measurements in a consistent weightbearing position. Specific joint measurements included joint space distance, congruence, and coverage. Noteworthy anatomical variation predominantly included the talus and calcaneus, specifically an inverse relationship regarding talar dome heightening and calcaneal shortening. While there was minimal navicular and cuboid shape variation, there were alignment variations within these joints; the most notable is the rotational aspect about the anterior-posterior axis. This study also found that multi-domain modeling may be able to predict joint space distance measurements within a population. Additionally, variation across a population of these four bones may be driven far more by morphology than by alignment variation based on all three joint measurements. These data are beneficial in furthering our understanding of joint-level morphology and alignment variants to guide advancements in ankle joint pathological care and operative treatments.
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