ISSN 0303-5212
 

Original Research 
RMJ. 2025; 50(2): 329-332


Comparative accuracy of CT and MRI in diagnosis of pituitary microadenoma

Tayyaba Rafiq, Huma Fatima, Mahwish Niaz, Sehar Anum Khan, Madeeha Minhas, Haseeb Khaliq.


Abstract
Objective: To evaluate the comparative accuracy of non-contrast CT and MRI for the diagnosis of pituitary microadenoma.
Methodology: This cross-sectional study was conducted at Doctors Hospital Lahore in the radiology department from September 2024 and January 2025. It included 121 patients clinical suspicion of pituitary microadenomas. Participants were scanned using CT followed by non-contrast MRI, and confirmation of diagnosis was done by histopathology as the reference standard. Sensitivity, specificity, positive predictive value, negative predictive value, and overall diagnostic accuracy were determined.
Results: Out of 121 patients, 70 (57.9%) were females. Mean age was 40.74±10.35 years. The sensitivity of non-contrast MRI was 37.25% (38/102), while its specificity reached 89.47% (17/19). The diagnostic method demonstrated strong capabilities at excluding false positives, but its poor ability to detect true positives contributed to its low sensitivity. The technique demonstrated a total accuracy of 45.5% (55 of 121 patients).
Conclusion: While non-contrast MRI surpassed the CT scan in specificity and safety (avoiding radiation/contrast), its low sensitivity highlighted the need for more careful interpretation in negative cases. The absence of contrast agents and ionizing radiation in non-contrast MRI made it a suitable first-line diagnostic tool for screening pituitary microadenomas, providing prospective safety for patient monitoring.

Key words: Pituitary microadenoma, non-contrast MRI, histopathology, endocrine tumors.


 
ARTICLE TOOLS
Abstract
PDF Fulltext
How to cite this articleHow to cite this article
Citation Tools
Related Records
 Articles by Tayyaba Rafiq
Articles by Huma Fatima
Articles by Mahwish Niaz
Articles by Sehar Anum Khan
Articles by Madeeha Minhas
Articles by Haseeb Khaliq
on Google
on Google Scholar

How to Cite this Article
Pubmed Style

Rafiq T, Fatima H, Niaz M, Khan SA, Minhas M, Khaliq H. Comparative accuracy of CT and MRI in diagnosis of pituitary microadenoma. RMJ. 2025; 50(2): 329-332.


Web Style

Rafiq T, Fatima H, Niaz M, Khan SA, Minhas M, Khaliq H. Comparative accuracy of CT and MRI in diagnosis of pituitary microadenoma. https://www.rmj.org.pk/?mno=245642 [Access: May 12, 2025].


AMA (American Medical Association) Style

Rafiq T, Fatima H, Niaz M, Khan SA, Minhas M, Khaliq H. Comparative accuracy of CT and MRI in diagnosis of pituitary microadenoma. RMJ. 2025; 50(2): 329-332.



Vancouver/ICMJE Style

Rafiq T, Fatima H, Niaz M, Khan SA, Minhas M, Khaliq H. Comparative accuracy of CT and MRI in diagnosis of pituitary microadenoma. RMJ. (2025), [cited May 12, 2025]; 50(2): 329-332.



Harvard Style

Rafiq, T., Fatima, . H., Niaz, . M., Khan, . S. A., Minhas, . M. & Khaliq, . H. (2025) Comparative accuracy of CT and MRI in diagnosis of pituitary microadenoma. RMJ, 50 (2), 329-332.



Turabian Style

Rafiq, Tayyaba, Huma Fatima, Mahwish Niaz, Sehar Anum Khan, Madeeha Minhas, and Haseeb Khaliq. 2025. Comparative accuracy of CT and MRI in diagnosis of pituitary microadenoma. Rawal Medical Journal, 50 (2), 329-332.



Chicago Style

Rafiq, Tayyaba, Huma Fatima, Mahwish Niaz, Sehar Anum Khan, Madeeha Minhas, and Haseeb Khaliq. "Comparative accuracy of CT and MRI in diagnosis of pituitary microadenoma." Rawal Medical Journal 50 (2025), 329-332.



MLA (The Modern Language Association) Style

Rafiq, Tayyaba, Huma Fatima, Mahwish Niaz, Sehar Anum Khan, Madeeha Minhas, and Haseeb Khaliq. "Comparative accuracy of CT and MRI in diagnosis of pituitary microadenoma." Rawal Medical Journal 50.2 (2025), 329-332. Print.



APA (American Psychological Association) Style

Rafiq, T., Fatima, . H., Niaz, . M., Khan, . S. A., Minhas, . M. & Khaliq, . H. (2025) Comparative accuracy of CT and MRI in diagnosis of pituitary microadenoma. Rawal Medical Journal, 50 (2), 329-332.