Rethinking Breast Imaging Reporting and Data System (BI-RADS) 4: Clinical Insights From Mammographic Subclassification

Age over 50 years and prior breast cancer are strong independent predictors of malignancy in BI-RADS 4 lesions. Subcategories stratify risk and malignancy rates, especially in 4a, which exceeded expected ranges, underscoring limitations in current classification. Incorporating clinical history and radiomics into BI-RADS may refine risk prediction and reduce unnecessary biopsies.

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Publication Details

Journal
Cureus
Published
2025-10-12
DOI
https://doi.org/10.7759/cureus.94379
Primary Topic
AI in cancer detection
Type
article
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article

Rethinking Breast Imaging Reporting and Data System (BI-RADS) 4: Clinical Insights From Mammographic Subclassification

Nandini Varma, Anandh Rajamohan, Jasira Padinhare Madathil, Kesavan Kandiah et al.
Cureus
AI in cancer detection
article

Rethinking Breast Imaging Reporting and Data System (BI-RADS) 4: Clinical Insights From Mammographic Subclassification

Nandini Varma, Anandh Rajamohan, Jasira Padinhare Madathil, Kesavan Kandiah, R. Gandhi, Alex Chakiath, Deepak Pradeep Kumar, Pradeep Chandran, Jim Job, Aneesh Sugunan
article en

Abstract

Age over 50 years and prior breast cancer are strong independent predictors of malignancy in BI-RADS 4 lesions. Subcategories stratify risk and malignancy rates, especially in 4a, which exceeded expected ranges, underscoring limitations in current classification. Incorporating clinical history and radiomics into BI-RADS may refine risk prediction and reduce unnecessary biopsies.

CureusVol. 17(10)
King's College - North Carolina (US), Princess Royal University Hospital (GB), General Hospital Ernakulam (IN), Medical Trust Hospital (IN), Bristol Royal Infirmary (GB), Breast Cancer Care (GB), Homerton University Hospital (GB), King's College Hospital (GB), Merseytravel (GB), Addenbrooke's Hospital (GB)
Openalex Percentile: Top 85%
AI in cancer detection
DOIOpen Access PDFOpenAlex
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Rethinking Breast Imaging Reporting and Data System (BI-RADS) 4: Clinical Insights From Mammographic Subclassification — Nandini Varma, Anandh Rajamohan, et al. · Cureus (2025) | TGRS Research Map | TGRS