Anterior cruciate ligament (ACL) injury: correlation with MRI morphometry

Abstract

Abstract Background This study aims to investigate the association between bony morphological features and ACL injury and to identify potential risk factors for the identification and prevention of ACL injuries. The study used knee MRIs to examine the distal femoral and proximal tibia morphology of 500 patients aged 19–50, including 250 cases with an injured ACL and 250 controls with a non-injured ACL. Previous literature has shown that ACL injuries are a common occurrence in sports and can have serious long-term consequences. Several risk factors have been identified, including anatomical variations in the bony structures of the knee. However, the relationship between bony morphology and ACL injury is not well understood, and there is a need to investigate the potential role of these factors in the identification and prevention of ACL injuries. This study was necessary because of the high incidence of ACL injuries and the potential long-term consequences, such as osteoarthritis, associated with this injury. By identifying potential risk factors, such as bony morphological features, it may be possible to develop targeted prevention strategies to reduce the incidence of ACL injuries. The study also adds to the existing literature by providing new insights into the relationship between bony morphology and ACL injury, and by identifying specific parameters that can be used to predict ACL injury. Results There was a significant difference in bony morphology between ACL-injured and non-injured patients. The most convincing parameters of femur and tibia were notch width index (NWI), medial tibial plateau depth (MTPD), and lateral tibial plateau slope (LTPS). A significantly smaller intercondylar notch was seen in the injured patients (mean 17.25 mm) than in controls (mean 18.41 mm) (p < 0.001, unpaired t test). The findings indicate that among all the features assessed, the medial tibial plateau depth (MTPD) stands out as the most statistically significant with an odds ratio of 2.4, and it demonstrates a substantial association. Conclusions ACL-injured patients have a narrower NWI, shallower MTPD, and steeper LTPS, which appear to be associated with ACL injury. Identifying the cut-off values for these parameters can help predict ACL injury.