Comparison of MRI (1.5 T) and High-Resolution USG in Evaluating Patients with Rotator Cuff Pathologies

Dr. Jagruti Sutaria, Dr. Viraj Bhadesia, Dr. Anjana Trivedi, Dr. Hinal Gajjar

Abstract: Background: Accurate diagnosis of rotator cuff pathologies is crucial for the effective management of shoulder pain. This study aimed to evaluate the diagnostic accuracy of high-resolution USG and MRI (1.5 T) for detecting rotator cuff injuries. Methods: A prospective study was conducted on 80 patients with shoulder pain who underwent both USG and MRI over two months at the Department of Radiology, Pandit Deendayal Upadhyay Government Medical College & Civil hospital, Rajkot, Gujarat, India. The diagnostic accuracy metrics of high resolution USG were compared to those of MRI (1.5 T). Results: The mean age of the 80 patients was 48.5 +/- 12.4 years. Among them, males represented the majority (n = 54, 67.5%), with a significant number having diabetes mellitus (n = 28, 35%) and hypertension (n = 18, 22.5%). The right shoulder was the most frequently affected (n = 66, 82.5%). USG identified supraspinatus tears in 66 patients (82.5%), subscapularis tears in 32 patients (40.0%), and infraspinatus tears in 4 patients (5.0%). MRI detected supraspinatus tears in 78 patients (97.5%), subscapularis tears in 36 patients (45.0%), and infraspinatus tears in 4 patients (5.0%). The diagnostic performance of USG demonstrated a sensitivity of 76.92% and specificity of 85.71%, while MRI exhibited a sensitivity of 92.86% and specificity of 80.77%. Conclusion: Both USG and MRI are valuable for diagnosing rotator cuff pathologies, USG remains a reliable and cost-effective initial diagnostic tool. However, MRI provides superior sensitivity and specificity.

Keywords: Diagnostic accuracy, Magnetic resonance imaging, Ultrasonography, Rotator cuff, Shoulder pain

How to Cite?: Dr. Jagruti Sutaria, Dr. Viraj Bhadesia, Dr. Anjana Trivedi, Dr. Hinal Gajjar, "Comparison of MRI (1.5 T) and High-Resolution USG in Evaluating Patients with Rotator Cuff Pathologies", Volume 15 Issue 1, January 2026, International Journal of Science and Research (IJSR), Pages: 1645-1648, https://www.ijsr.net/getabstract.php?paperid=MR26128104525, DOI: https://dx.doi.org/10.21275/MR26128104525