Determination of the Diagnostic Accuracy of Magnetic Resonance Imaging in Prediction of Malignancy of the Musculoskeletal System in Suspected Cases Taking Histopathology as a Gold Standard
Main Article Content
Keywords
MRI, musculoskeletal system, bone tumour , malignancy
Abstract
Introduction: Magnetic resonance imaging (MRI) has become essential for the preoperative assessment and treatment monitoring of patients with musculoskeletal tumors.
Objective: To determine the diagnostic accuracy of magnetic resonance imaging in prediction of malignancy of the musculoskeletal system in suspected cases taking histopathology as a gold standard.
Methods: The study conducted a Cross-sectional study on patients who presented with suspected musculoskeletal tumors at the Department of Radiology, Ojha Campus, Dow University, Karachi, from April 2021 to October 2021. MRI scans were conducted using a 1.5 T Siemens superconducting system, capturing T1-weighted (T1W) and Short Tau Inversion Recovery (STIR) images in sagittal or coronal planes, followed by T2-weighted (T2W) and post-contrast T1W images in axial planes. Tumors were classified as malignant or non-malignant based on specific MRI characteristics. Sensitivity, specificity, positive and negative predictive values and diagnostic accuracy were calculated taking histopathological finings as gold standard. Data were compiled and analyzed using SPSS version 23.0.
Results: A total of 336 patients were studied. The mean age of patients was 42.69±15.72 years, average symptom duration was 2.89±1.14 weeks and mean tumor size was 1.57±0.77 cm. Of the participants, 173 (51.5%) were male, and 163 (48.5%) were female. The sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy were recorded as 90.5%, 90.4%, 94%, 84.9%, and 90.4%, respectively.
Conclusion: Magnetic resonance imaging was observed as a sensitive and uncomplicated imaging modality for the detection of musculoskeletal malignancy with acceptable accuracy.
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