首页> 外文期刊>Biomedical Engineering: Applications, Basis and Communications >Diagnosing anterior cruciate ligament injuries using a knee arthrometer: Design, fabrication, and clinical evaluation
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Diagnosing anterior cruciate ligament injuries using a knee arthrometer: Design, fabrication, and clinical evaluation

机译:使用膝关节关节镜诊断前交叉韧带损伤:设计,制造和临床评估

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摘要

Every year many people suffer from knee injuries. Previous studies on patients with knee injuries have shown that about 40% of knee injuries are Ligament injuries, and about 50% of the ligament injuries are the Anterior Cruciate Ligament (ACL) injuries. Along with other methods, knee arthrometers are widely used to diagnose ACL injuries. In the current research, a knee arthrometer was designed and developed to provide a reliable and repeatable measurement of knee laxity under anteriorposterior applied loads. Testretest configurations to examine repeatability of the device resulted in less than 1.5-mm difference for more than 97% of tests under applied loads of up to 90 N. These tests included 166 tests on the left knees and 147 tests on the right knees of 37 healthy subjects. Also, this device was tested on 27 confirmed ACL ruptured patients, and the results were analyzed to find a better criterion than standard criteria to diagnose ACL rupture using knee arthrometers by finding specificity and sensitivity of the device using those criteria. Among the 20 criteria evaluated, a combination of side-to-side difference under 150 N of applied load, and CI@90-60 (compliance index calculated between 90 N, and 60 N) resulted in the best sensitivity (96.4%) and specificity (100%).
机译:每年都有许多人遭受膝盖受伤。先前对膝盖受伤患者的研究表明,大约40%的膝盖受伤是韧带损伤,大约50%的韧带损伤是前交叉韧带(ACL)损伤。与其他方法一起,膝关节流量计被广泛用于诊断ACL损伤。在当前的研究中,设计并开发了膝关节关节流量计,以在前后施加负荷的情况下提供可靠且可重复的膝盖松弛度测量。用于测试设备可重复性的Testretest配置导致在施加最大90 N负载的情况下进行97%以上的测试时,差异小于1.5 mm。这些测试包括左膝166次测试和右膝147次测试37健康受试者。此外,还对27名经确诊的ACL破裂的患者进行了该设备的测试,并对结果进行分析以找到比标准标准更好的标准,以使用膝关节流量计通过诊断使用ACL破裂的设备来确定其特异性和敏感性,从而诊断出ACL破裂。在所评估的20条标准中,在150 N的施加负载下左右差与CI @ 90-60(在90 N和60 N之间计算的顺应性指数)的组合产生了最佳灵敏度(96.4%)和特异性(100%)。

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