Aims and objectives: To determine the diagnostic accuracy of Magnetic Resonance Imaging (MRI) in the detection of sellar region tumors and to study the correlation between MRI and histopatological findings in their evaluation.

Materials and methods: An analytical cross-sectional study was performed in the department of Radiology and imaging in collaboration with department of Neurosurgery and Pathology, ASRAM Medical college and Hospital, Eluru, during the period of May 2022 to March 2023. MRI of brain was performed using 1.5 Tesla MRI scanner, Seimens Magnetom Avento Syngo (MR D- 13) 16 channel machine on 35 patients referred for evaluation of sellar region tumors and the findings were correlated with histopathological results post-operatively.

Results: The mean age group of sellar region tumors was 32.4 (±1.85) years. Most common sellar region lesion diagnosed on MRI was pituitary macroadenoma comprising 37% of the total cases. Among the total MRI diagnosed 35 cases, 28 (80%) cases were confirmed histopathologically. The accuracy, sensitivity, specificity, and negative predictive value (NPV) of MRI in diagnosing sellar region tumors were in the range of 88.9- 94.3%, 80- 91.7%, 89.7-96.7%, and 95.5- 96.7%, respectively.

Conclusion: The sensitivity and specificity of MRI in diagnosing various types of sellar region tumors almost paralleled histopathological results (gold standard) and was found in between 82% to 91%. This research concludes that MRI is a useful imaging technique for the diagnosis of malignancies in the sellarregions and pituitary adenoma