Magnetic resonance imaging as a tool for evaluation of traumatic knee injuries
- 1 September 1986
- journal article
- Published by SAGE Publications in The American Journal of Sports Medicine
- Vol. 14 (5), 361-370
- https://doi.org/10.1177/036354658601400503
Abstract
Traumatic injury to the knee remains a diagnostic and therapeutic challenge. Magnetic resonance imaging (MRI) has been applied to musculoskeletal pathoa natomy and has been shown to be an effective tool for definition and characterization of knee pathology. A systematic approach is taken to establish anatomical and pathoanatomical correlations, as well as the role of MRI in the management of knee injuries. Imaging was performed at the UCLA Medical Center using a permanent magnet system and a combination of solenoidal surface coils and thin-section, high-reso lution scanning techniques. Images depict structural anatomical and spatial details of the knee that correlate well with corresponding cadaveric cryosections. To determine pathoanatomical correlations and the effi cacy of MRI, 105 patients with preoperative diagnoses of meniscal tears, anterior and posterior cruciate liga ment tears, tibial plateau fracture, and patella and quad riceps injuries were imaged. Results indicated that for the medial meniscus MRI demonstrated a 95.7% sensitivity, 81.8% specificity, 90% accuracy, 88.2% positive predictive value (PPV), and 93.1 % negative predictive value (NPV). Imaging of the lateral meniscus demonstrated a 75% sensitivity, 95% specificity, 91 % accuracy, 80% PPV, and 94% NPV. MRI of the ACL revealed 100% sensitivity, spec ificity, accuracy, positive and negative predictive values. MRI is a noninvasive tool which uses no ionizing radiation and can accurately define and characterize anatomy and pathoanatomy. This study indicates that MRI in conjunction with clinical evaluation can contrib ute to treatment decision-making processes and assist in preoperative planning. An algorithm demonstrating the potential clinical use of MRI is presented.This publication has 14 references indexed in Scilit:
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