Abstract

OBJECTIVE: This study investigates the accuracy of ultrasound imaging paired with BI-RADS classification in diagnosing breast lesions in women, taking into account the influence of confounding factors such as breast density and tissue inflammation. METHODS: A group of 100 women of diverse age ranges and marital statuses participated in this research. Data was collected on indications for medical visits, duration and nature of symptoms, breast composition, echo patterns, density, presence of tissue inflammation, and BI-RADS classification. These variables were analyzed to assess effectiveness of BI-RADS classification amidst the confounding factors. RESULTS: The study found that 46% of participants were over 35 years old and 78% were married. The most common reasons for their medical consultation were tenderness (29%), pain (15%), and lumps (18%). Breast composition was largely heterogeneous (55%), with hyperechoic (43%) and hypoechoic (33%) echo patterns, and predominantly heterogeneously dense breasts (69%). Inflammation of tissues or mastitis was detected in 25% of cases. BI-RADS classification placed 27% of cases in category 2, 20% in category 1, and 17% in category 4. Pathological diagnosis was unilateral in 80% and bilateral in 20% of cases. CONCLUSION: The findings suggest that ultrasound imaging with BI-RADS classification is an effective method for diagnosing the breast lesions, even when confounding factors such as breast density and tissue inflammation are present. Further refinement of the BI-RADS classification is advised to enhance diagnostic outcomes in these contexts