Effectiveness of lever sign test for diagnosing anterior cruciate ligament rupture

杠杆征试验在诊断前交叉韧带断裂中的有效性

阅读:1

Abstract

OBJECTIVE: To evaluate the effectiveness of the Lever Sign test (LST) for diagnosing anterior cruciate ligament (ACL) ruptures. METHODS: This prospective trial was conducted from January to December 2020. A total of 73 patients, aged 18 to 65 years, presenting with chief complaint as acute knee pain rated < 7/10 on a verbal numerical rating scale, having a minimum 20 to 120° range of motion and undergoing magnetic resonance imaging (MRI) were enrolled. Detailed history, physical examination and standard radiographic evaluation were done in all subjects. For the assessment of the integrity of the ACL, the anterior drawer, Lachman, pivot-shift and LST were performed on each symptomatic knee by a senior orthopedic consultant with a minimum five years post-fellowship experience. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy of the LST were recorded with respect to standard reference MRI findings. RESULTS: Out of a total of 73 patients, there were 49 (67.1%) males. Mean age was noted to be 34.5±8.1 years. Area of residence was rural among 42 (57.5%) patients. Mean time since injury was noted to be 11.2±4.6 months. The MRI findings showed ACL intact among 31 (42.4%) patients while it showed ACL torn among 42 (57.5%) patients. The LST showed positive findings for ACL rupture in 39 (53.5%) patients while it was negative in remaining 34 (46.5%). The sensitivity, specificity, PPV, NPV and accuracy of LST with respect to standard reference finding (MRI) was found to be 86%, 90%, 92%, 82% and 88% respectively. CONCLUSION: The LST was found to have good specificity, sensitivity, PPV, NPV and accuracy to detect the status of the ACL. The LST is easy to perform can be used along with other standard assessment techniques to further increase the validation of the status of the ACL diagnosis.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。