ROLE OF MRI IN EVALUATION OF POST-TRAUMATIC KNEE INJURIES: A PROSPECTIVE STUDY.

Autor: Rawal, Sanju, KC, Rajendra, Yadav, Subhash Chandra, Oli, Bardan, Mukhi, Sadhan, Thapa, Krishna, Dhakal, Darshana, Bohara, Narayan
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Zdroj: Journal of Universal College of Medical Sciences; Jan-Apr2024, Vol. 12 Issue 1, p2-5, 4p
Abstrakt: INTRODUCTION: The knee joint is the largest and most complex joint in the human body. Therefore it is often affected by trauma. Magnetic Resonance Imaging (MRI) is a non-invasive imaging modality that provides detailed images of the soft tissue structures of the knee joint. The objective of this study was to evaluate MRI findings in patients with post-traumatic knee joint injuries. MATERIAL AND METHODS: This prospective study was carried out using a 3.0 Tesla MRI (Magnetom Lumina) scanner in the Department of Radiodiagnosis and Medical Imaging at Universal College of Medical Sciences & Teaching Hospital, Bhairahawa, Nepal. The study included 128 patients with post-traumatic knee injuries, from September 2023 to February 2024. Data were analyzed using SPSS version 20. RESULTS: In this study of 128 participants, 57.81% were male and 42.19% were female, with a mean age of 38.60 ± 13.05 years. The majority of MRI findings were medial meniscus tear (51.56%), followed by anterior cruciate ligament tear (46.09%), medial collateral ligament sprain (44.53%), lateral meniscus tear (39.84%), lateral collateral ligament sprain (33.59%), and posterior cruciate ligament tear (17.97%). Our study also revealed various grades of collateral ligament injuries, including the medial and lateral ligaments. There were 59.65% of cases with a grade I medial collateral ligament sprain, followed by grade II at 33.33% and grade III at 7.02%. The grade I and grade II lateral collateral ligament sprains were 62.79% and 37.21%, respectively. CONCLUSION: MRI is a non-invasive and valuable diagnostic modality that can provide an accurate diagnosis. It is often preferred over arthroscopy. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index