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首页> 外文期刊>American Journal of Veterinary Research >Noninvasive determination of body segment parameters of the hind limb in Labrador Retrievers with and without cranial cruciate ligament disease.
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Noninvasive determination of body segment parameters of the hind limb in Labrador Retrievers with and without cranial cruciate ligament disease.

机译:无创测定拉布拉多猎犬有或没有颅交叉韧带疾病的后肢的肢体参数。

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摘要

Objective-To determine mass, center of mass (COM), and moment of inertia (ie, body segment parameters [BSPs]) of hind limb segments by use of a noninvasive method based on computerized tomography (CT) in Labrador Retrievers with and without cranial cruciate ligament (CCL) disease and to provide regression equations to estimate BSPs of normal, CCL-deficient, and contralateral hind limbs. Animals-14 clinically normal and 10 CCL-deficient Labrador Retrievers. Procedures-Bone, muscle, and fat areas were identified via CT. Mass, COM, and moment of inertia were determined on the basis of tissue densities in the thigh, crus, and foot segments. Regression models were developed to determine predictive equations to estimate BSP on the basis of simple morphometric measurements. Results-The thigh and crus of CCL-deficient limbs weighed less than in contralateral segments. Thighs weighed less in CCL-deficient than in normal limbs. The thigh moment of inertia was less in CCL-deficient than in contralateral limbs. The crural COM was located more distally in normal limbs, compared with other limbs. Predictive equations to estimate BSP varied by parameter, body segment, and limb status. Conclusions and Clinical Relevance-BSPs of the thigh and crus varied with segment and status of the hind limb in Labrador Retrievers with or without CCL disease. Equations to estimate BSP on the basis of simple morphometric measurements were proposed, providing a basis for nonterminal studies of inverse dynamics of the hind limbs in Labrador Retrievers. This approach may offer new strategies to investigate the pathogenesis of nontraumatic joint diseases.
机译:目的-通过基于计算机断层扫描(CT)的无创方法,在有或没有的情况下,通过计算机断层扫描(CT)来确定后肢节段的质量,质心(COM)和惯性矩(即身体节段参数[BSPs])颅十字韧带(CCL)疾病,并提供回归方程来估算正常,CCL缺乏和对侧后肢的BSP。动物14临床正常,缺乏10 CCL的拉布拉多犬。程序-通过CT识别骨骼,肌肉和脂肪区域。质量,COM和惯性矩是根据大腿,小腿和脚部的组织密度确定的。开发了回归模型来确定预测方程,以基于简单的形态计量学测量来估计BSP。结果-CCL缺陷肢体的大腿和小腿的重量小于对侧节段。大腿的CCL缺损比正常肢体轻。 CCL缺乏症患者的大腿惯性矩小于对侧肢体。与其他肢体相比,关键COM位于正常肢体的更远侧。估计BSP的预测方程式随参数,身体部位和肢体状态而变化。结论和临床相关性大腿和小腿的BSP随伴或不伴CCL疾病的拉布拉多犬的后肢节段和状态而变化。提出了基于简单形态计量学估计BSP的方程式,为非最终研究拉布拉多犬后肢的逆动力学提供了基础。这种方法可能为研究非创伤性关节疾病的发病机理提供新的策略。

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