Role of MRI in the Evaluation of Painful Knee Joint
Journal Title: International Journal of Anatomy Radiology and Surgery - Year 2018, Vol 7, Issue 3
Abstract
Introduction: Disease processes and injuries that disrupt ligaments, menisci, articular cartilage and other structures of the knee cause painful knee resulting in significant morbidity and disability. Aim: To identify common lesions seen in the knee joint and describe the MRI features in various types of traumatic and non traumatic lesions causing painful knee joint. Materials and Methods: The present study was a hospital based descriptive study conducted in a tertiary care centre in India (n=60). Patients being referred for the evaluation of painful knee were included in the study and evaluated by MRI scans performed using Siemens 1.5 Tesla High gradient MRI scanner. Results were analysed by a descriptive analysis. Results: Meniscal tears were the commonest soft tissue abnormality found in our study. Tears involved posterior horn of the medial meniscus more commonly and were mostly Grade 2. Vertical tears were the commonest type of meniscal tear and were associated with a history of trauma. Tear was the commonest pathology affecting the ACL, most being acute in nature. Partial PCL tear was the commonest PCL pathology. One-third of the patients had bone contusion and tibia was more commonly involved followed by lateral femoral condyle. Acute ACL tears were usually associated with bone contusions. Popliteal cyst was the commonest cystic lesion and was associated with effusions and meniscal tears. Patello-femoral compartment was most commonly involved by the osteoarthritic process. Conclusion: MRI is an accurate, non-invasive and a cost effective means to evaluate a painful knee. It can potentially replace other imaging modalities like X-ray and CT scans for the radiological evaluation of a painful knee and is helpful in clinical decision making.
Authors and Affiliations
Neha Bansal, Navkiran Kaur, Kuldeep Singh Sandhu
Keywords
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- EP ID EP531536
- DOI 10.7860/IJARS/2018/36594:2412
- Views 127
- Downloads 0
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