Imaging Findings
Shape
Margin
Density / Echogenicity
Morphology
Distribution
⚕️ Clinical Limitations: This tool applies ACR BI-RADS 5th Edition criteria to suggest a category. It is an educational reference — not a diagnostic decision tool. Category assignment in practice requires full imaging correlation, patient history, prior studies, and clinical context. A BI-RADS 3 finding in a patient with BRCA1/2 mutation may warrant biopsy despite the <2% guideline probability. Always apply clinical judgment.
Assessment Result
🩻

Enter imaging findings on the left to generate a suggested BI-RADS category and management recommendation.

BI-RADS Categories Quick Reference

Category Assessment Malignancy Probability Management Follow-Up
0 Incomplete Additional imaging needed Recall for workup
1 Negative ~0% Routine screening Annual per guidelines
2 Benign 0% Routine screening Annual per guidelines
3 Probably Benign <2% Short-interval follow-up 6-month mammogram
4A Low Suspicion 2–10% Core needle biopsy Per biopsy result
4B Moderate Suspicion 10–50% Core needle biopsy Per biopsy result
4C High Suspicion 50–95% Core needle biopsy (urgent) Per biopsy result
5 Highly Suspicious Malignancy ≥95% Biopsy + surgical consult Staging workup
6 Known Biopsy-Proven Malignancy 100% Staging + treatment planning Multidisciplinary team

About BI-RADS 5th Edition

The Breast Imaging Reporting and Data System (BI-RADS), published by the American College of Radiology, provides a standardized lexicon and final assessment framework for breast imaging across mammography, ultrasound, and MRI. The current 5th Edition (2013) reduced variability in radiologist reporting and introduced more precise subcategories for BI-RADS 4 (4A, 4B, 4C) to better communicate biopsy urgency and malignancy probability to clinicians and patients.

Before BI-RADS standardization, breast imaging reports used inconsistent terminology that created communication barriers between radiologists and referring clinicians. Studies showed that BI-RADS adoption reduced inappropriate biopsy rates, improved biopsy concordance, and enabled population-level quality metrics for screening programs.

How to Use This Calculator

Select the imaging modality (mammography, ultrasound, or MRI). Then systematically enter the dominant imaging findings: mass characteristics (if a mass is present), calcification characteristics, architectural distortion, and asymmetry. The calculator assigns a BI-RADS category based on the most suspicious finding across all features entered. This mirrors the ACR 5th Edition approach where the final assessment is driven by the highest-suspicion element.

Key guidance for accurate use:

How Category Is Determined

BI-RADS category is driven by the most suspicious finding present. The dominant imaging features considered are:

Modality-Specific Notes

BI-RADS 3: Probably Benign — Follow-up Protocol

BI-RADS 3 is a provisional assessment requiring active surveillance. The standard follow-up schema:

If the finding enlarges or develops suspicious features at any follow-up, upgrade to BI-RADS 4 and recommend biopsy. Important caveats: BI-RADS 3 is not appropriate for symptomatic findings (palpable lump, bloody nipple discharge), new lesions in known cancer patients, or patients with BRCA mutations where even low-suspicion findings typically warrant biopsy.

Limitations and Considerations

This calculator uses ACR BI-RADS 5th Edition feature-based rules to suggest a category. Real-world category assignment has important nuances not fully captured:

References

American College of Radiology. ACR BI-RADS Atlas: Breast Imaging Reporting and Data System. 5th ed. Reston, VA: ACR; 2013.

Sickles EA, D'Orsi CJ, Bassett LW, et al. ACR BI-RADS Atlas: mammography. In: ACR BI-RADS Atlas. 5th ed. Reston, VA: American College of Radiology; 2013.

Lehman CD, et al. MRI Evaluation of the Contralateral Breast in Women with Recently Diagnosed Breast Cancer. N Engl J Med. 2007;356(13):1295–1303.

Helvie MA. Digital Mammography Imaging: Breast Tomosynthesis and Advanced Applications. Radiol Clin North Am. 2010;48(5):917–929.