A retrospective study conducted at R.L. Jalappa Hospital in Kolar, India, has examined the correlation between findings from the Breast Imaging Reporting and Data System (BI-RADS) and subsequent histopathological diagnoses of breast lumps. The study, intended to assess the accuracy of BI-RADS in a single-center setting, analyzed data from a cohort of patients presenting with palpable breast masses.
The BI-RADS system, developed by the American College of Radiology (ACR) in 1986 with the initial report released in 1993, aims to standardize breast imaging reports and risk assessment. Prior to BI-RADS, variations in radiology reports were significant, creating ambiguity in patient management. The system provides a framework for describing imaging findings and assigning a category indicating the probability of malignancy, ranging from 0 to 6. The latest edition, BI-RADS 5 (2013), includes six classifications for lesions.
Researchers at R.L. Jalappa Hospital retrospectively reviewed patient records, correlating BI-RADS assessments – obtained through mammography, ultrasound, or magnetic resonance imaging (MRI) – with the definitive histopathological results following biopsy. The study sought to determine the sensitivity, specificity, positive predictive value and negative predictive value of the BI-RADS categories in predicting malignancy within their patient population. The ACR’s system utilizes a lexicon of descriptors correlated with either benign or malignant disease, aiming to reduce ambiguity in recommendations for further action.
The study’s findings are expected to provide insights into the performance of BI-RADS in the Indian healthcare context, where factors such as breast density and genetic predispositions may differ from those in Western populations. The BI-RADS system has been updated to include lexicons for ultrasound in 2003 and MRI in 2006, demonstrating its adaptability to evolving imaging techniques. The system’s utility extends beyond diagnosis, providing mechanisms for peer review and quality assurance in breast imaging practices.
The researchers acknowledge that BI-RADS is designed to be a fluid system, adapting with new research and techniques. The system enables radiologists to communicate results clearly and consistently to referring physicians, with specific management recommendations tied to the final assessment category. The study at R.L. Jalappa Hospital contributes to the ongoing evaluation of BI-RADS’s effectiveness in diverse clinical settings.
Further analysis of the study data is planned to identify potential areas for improvement in the application of BI-RADS within the hospital’s radiology department. The ACR provides a manual, updated to version 2025, that includes over 900 clinical images and guidance for auditing and outcomes monitoring across mammography, ultrasound, and MRI.
