Comparative Analysis of Mri and Arthroscopic Findings for Knee Acland Meniscal Injuries

Abstract

Background and Aim: Common knee injuries include meniscal or ligamentous tears, which can cause discomfort, instability, and movement restrictions. The knee is evaluated using a variety of imaging techniques, such as radiography, CT scans for fractures, and MRIs for soft tissue damage to the knee joint. Our study's objective was to compare the results of the aforementioned two methods and assess the radiological and arthroscopic ndings of anterior cruciate and meniscal injuries. Find out which of the two is more effective at accurately diagnosing ACL and meniscal injury. Material and Methods: This is a prospective study that was done on at least 200 patients who met the inclusion criteria and were being treated for knee injuries at a Tertiary Care Teaching Hospital in India. Among of them, 200 knee injury patients had an MRI, clinical examination, and arthroscopy. Many statistical tests were used to compare and assess the outcomes. These arthroscopy and MRI data were used to compute the accuracy, sensitivity, and specicity. Results: In our investigation, the sensitivity, positive predictive value, and accuracy of an MRI scan in identifying ACL injury were 91.10%, 93.10%, and 87.5%, respectively. In our investigation, the sensitivity, positive predictive value, and accuracy of MRI scan in diagnosing medial meniscus damage were, respectively, 86.8%, 90.12%, and 87.2%. In our study, lateral meniscus injury was detected by MRI scan with 74.15% sensitivity, 71.25% PPV, and 84% accuracy, respectively. Conclusion: Our research demonstrated good sensitivity, specicity, and accuracy for knee joint ACLand meniscal injuries. Meniscus and ACLdamage can be accurately diagnosed by MRI. For therapeutic arthroscopy, MRI is a suitable screening tool, negating the need for diagnostic arthroscopy in the majority of patients. For the assessment of ligamentous and meniscus injuries, magnetic resonance imaging is a reliable and noninvasive method.