Anterior Translation of the Tibia at MR Imaging as a Predictor of Degree of Anterior Cruciate Ligament Tear
Journal Title: International Journal of Anatomy Radiology and Surgery - Year 2018, Vol 7, Issue 3
Abstract
Introduction: The ACL is the most common ligament of the knee to be injured. Numerous mechanisms of ACL injuries have been described. Aim: To determine whether the degree of anterior translation of tibia correlates with the degree of anterior cruciate ligament tear. Materials and Methods: It was a retrospective study done on 108 patients with intact ACL, 39 patients with partial ACL tears and 66 patients with complete ACL tears at MR imaging. Mid sagittal plane of the lateral femoral condyle was used to measure the anterior tibial translation with regard to a plane parallel to the cephalocaudal axis of the image. The degree of anterior tibial translation was then analysed in different groups using SPSS statistical software. Results: The mean anterior translation in patients with complete tear was 5.95±0.81. In patients with partial tears it was 3.92±1.29 and in those with intact ACL it was 2.79±0.54. Anterior translation of 5 mm or more had 56% sensitivity, 80% specificity for a complete ACL tear. Unpaired-t test analysis showed highly significant statistical difference (p<0.0001) between the degree of anterior tibial translation in patients with complete ACL tear and those with intact ACL.There was no statistically significant difference between the anterior translation in patients with intact ACL and in those with partial tears (p=0.36). Conclusion: Anterior translation of the tibia serves as a secondary sign to identify complete ACL tears only when the ACL is not visualised in its entirety in a single sagittal section. This sign is not specific for partial ACL tears and is significant only in complete ACL tears. The degree of anterior translation of tibia at MR imaging correlates with the degree of anterior cruciate ligament tear and hence can be used as a predictor of the degree of tear.
Authors and Affiliations
Anand Kalegowda, Junaid Ahmed, Guruprasad Mehetri
Keywords
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- EP ID EP531457
- DOI 10.7860/IJARS/2018/35815:2402
- Views 120
- Downloads 0
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