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The Accuracy of 0.3 Tesla MRI for Diagnosing Meniscal Tears inthe Knee a Multi-Center Study
Author(s):
1. ERUM HABIB: Qazi Hussain Ahmed Medical Complex, Nowshera, Pakistan
2. FAIZ UL AZIZ: Qazi Hussain Ahmed Medical Complex, Nowshera, Pakistan
3. NASIR ALI: Qazi Hussain Ahmed Medical Complex, Nowshera, Pakistan
4. MUHAMMAD YASEEN: Qazi Hussain Ahmed Medical Complex, Nowshera, Pakistan
5. MIAN JAVED IQBAL: lady reading hospital, Peshawar, Pakistan
6. SHAH ABDUR RAHIM: Combined Millitary Hospital, (CMH), Peshawar, Pakistan
Abstract:
Objective: This study aims to compare the accuracy of a 0.3-tesla MRI in diagnosing meniscal injury in the knee to that arthroscopic findings. Duration and place of study Qazi Hussain Ahmad Medical Complex Nowshera, Pakistan, from Jan 2021 to Jan 2022. (departments of Radiology and Orthopedic). Methodology: One hundred patients who satisfied the study's inclusion criteria were sent fromthe orthopedics. We successfully collected patient data and permission from the Qazi Hussain Ahmed Medical Complex Nowshera. outpatient department and tertiary care hospital kpk between January 2021 and January 2022. All of the 0.3 Tesla scans were completed by a single MRI tech. To confirm the findings of the MRI, an arthroscopy was done by a professor of orthopedics. We tracked everything in a proforma spreadsheet and analyzed the data. Results The result is that 100 patients participated in the trial. There were 96 males (or 95%) and four females (5%). Individuals' ages varied from the low teens to the high fifties. Patientshad a mean age of 30.3 +/- 6.82 years. We found that, in contrast to arthroscopy, our method for diagnosing meniscal injuries of the knee joint was susceptible (96%), specific (95%), and accurate (95%). Conclusion:For the evaluation of meniscal injuries, MRI is a reliable, accurate, andnoninvasive method.
Page(s): 701-703
Published: Journal: Pakistan Journal of Medical and Health Sciences, Volume: 17, Issue: 1, Year: 2023
Keywords:
MRI , Arthroscopy , and Knee Replacement are Some Key Terms
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