Positive Predictive Value Assessment of Malignancy in BI-RAD | 83857

International Journal of Collaborative Research on Internal Medicine & Public Health

ISSN - 1840-4529


Positive Predictive Value Assessment of Malignancy in BI-RADS 4B and 4C Breast Lesions in Indian Scenario: A Tertiary Center Study

Satish Chaitanya*, Aakriti Kapoor, Ananya Deori, Gangotri Kumari, Mriganki Chaudhary, Prateek Sharda, Anjum Syed, Shalinee Rao and Bina Ravi

Breast Imaging Reporting and Data Sys st pathology identified in breast imaging which is classified into seven categories (0-6) of which category 4 covers a wide range of likelihood of malignancy in between from 2-95% likelihood of malignancy. To improve clinical audits, category 4 is sub-categorized into 4A, 4B, and 4C categories. The positive predictive value for malignancies of BI-RADS 4B and 4C lesions in correlation with pathological diagnosis. This was a retrospective study conducted from June to May 2021 in the Integrated Breast Care Centre (IBCC) in AIIMS, Rishikesh, India. A total of 77 patients were classified as BI-RADS 4B and 4C lesions, 33 were classified as BI-RADS 4B, and 4C as BI-RADS 4C sub-categories.