Role of Ultrasonography in the Evaluation of Breast Masses with Histopathological Comparison

Background: Breast masses are a common clinical finding, with various etiologies ranging from benign to malignant. The accurate characterization of these masses is crucial for appropriate clinical management, which often involves histopathological analysis to determine the nature of the lesion. Ultrasonography (USG) has emerged as a valuable imaging modality in the evaluation of breast masses due to its non-invasive nature, high sensitivity, and ability to provide real-time imaging. Objective: The purpose of the present study was to compare ultrasonographic and histopathological findings of breast masses. Methodology: This cross-sectional study was conducted in the Department of Radiology and Imaging at Sir Salimullah Medical College and Mitford Hospital, Dhaka, Bangladesh, in collaboration with the Department of Surgery and Department of Pathology. A total of 100 patients were enrolled during the period from January 2017 to June 2019 to observe the role of ultrasonography in the evaluation of Breast Masses and its comparison with histopathology. Results: Among them, the mean age was 37.16 (±15.80) years. Regarding echotextural appearance, most of the masses were more or less hypoechoic (60%) followed by isoechoic masses (22.0%). Among 100 respondents, 43.0% of the cases showed posterior shadowing during sonographic evaluation, while in the remaining cases, it was absent. Of all, 16.0% of the cases had masses studded with calcified beads, while the rest didn’t show any. The majority showed benign features on sonography, while only 40.0% were malignant. Histopathology showed most of the masses to be benign (65.0%). USG had 91.43% sensitivity to correctly diagnose malignant lesions as malignant but much lower specificity (87.69%) to differentiate benign lesions as benign. Overall, the accuracy was 89.0%. Conclusion: In conclusion, ultrasonography (USG) demonstrates a commendable performance in discerning between benign and malignant breast masses. Journal of National Institute of Neurosciences Bangladesh, January 2026;12(1):31-36