Sadia Ali, Saba Maqsood, Sana Akhtar, Nazish Hameed, Shaima Abdul Ghaffar, Madeha Hussain

Previous Published Issues

Diagnostic Accuracy of Magnetic Resonance Imaging in Predicting Malignancy in Musculoskeletal Tumors

Sadia Ali, Saba Maqsood, Sana Akhtar, Nazish Hameed, Shaima Abdul Ghaffar, Madeha Hussain



Background: Tumors of the musculoskeletal system may arise in bone or soft tissues including muscle and cartilage. Because of experimental chemotherapeutic medications and regimens, as well as improvements in imaging and surgical methods, the prognosis of patients with musculoskeletal tumors has increased dramatically. Aim: To determine the diagnostic accuracy of magnetic resonance imaging in detection of musculoskeletal tumor taking histopathology as gold standard Study Design: It was cross sectional study Setting: Department of Radiology, Mayo Hospital, Lahore Duration: six months i.e. July 2020 to Dec 2020. Methods: After meeting the inclusion criteria 135 cases were enrolled. Informed consent and demographic information was taken from all the patients. All malignancies were confirmed by surgical histology. MRI was performed routinely on 1.5 Tesla and 3 Tesla. Patients were considered as the confirmed cases of tumors on MRI and histopathology as per operational definition. All the collected data was analyzed on SPSS vr 21. Results: In this study the mean age of the patients was 42.59±10.16 years, male to female ratio of the patients was 0.68:1. The mean value of duration of disease of the patients was 2.95±1.42 months. The sensitivity, specificity, and diagnostic accuracy of MRI for detecting musculoskeletal tumors was 89.23%, 88.57%, & 88.89% respectively taking histopathology as gold standard. Conclusion:This finding concluded that the magnetic resonance imaging is very useful and reliable technique in detection of musculoskeletal tumor with high diagnostic accuracy Keywords: Magnetic Resonance Imaging, Musculoskeletal Tumor, Histopathology

Copyright © Pakistan Journal of Medical & Health Sciences 2022. All rights reserved!