ArticleCureus2026
A Retrospective Study of Breast Imaging Reporting and Data System and Histopathological Correlation in Breast Lumps: A Single-Center Experience at R.L. Jalappa Hospital, Kolar, India.
Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
introductionThe Breast Imaging-Reporting and Data System (BI-RADS) serves as a standardized classification system for breast imaging interpretation and management recommendations. This study evaluates the correlation between BI-RADS categories and histopathological findings in patients presenting with breast lumps at a tertiary care center in India. Methods: A retrospective observational study was conducted at R.L. Jalappa Hospital and Research Centre, Kolar, from 1st November 2024 to 30th November 2025. Female patients aged 22-78 years who underwent breast imaging with BI-RADS categorization (categories 3-5) followed by histopathological examination were included. Statistical analysis was performed using chi-square tests with calculation of sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and diagnostic accuracy. Results: A total of 215 patients were analyzed with a mean age of 48.7 ± 13.2 years. BI-RADS category distribution was: BI-RADS 3 (45 cases, 20.9%), 4A (52 cases, 24.2%), 4B (41 cases, 19.1%), 4C (28 cases, 13.0%), and 5 (49 cases, 22.8%). Malignancy rates showed progressive increase: BI-RADS 3 (8.9%), 4A (32.7%), 4B (46.3%), 4C (82.1%), and 5 (91.8%). Overall diagnostic performance showed sensitivity 96.3%, specificity 38.3%, PPV 61.2%, NPV 91.1%, and accuracy 67.4%. Strong positive correlation was found between BI-RADS categories and malignancy rates (p < 0.001, X² = 36.849). Conclusion: BI-RADS classification demonstrates strong correlation with histopathological malignancy rates in breast lump evaluation. Higher BI-RADS categories are reliably associated with increased malignancy probability, supporting the clinical utility of BI-RADS in breast lesion management and biopsy decision-making in the Indian healthcare context.
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