Screening Mammography Interpretation Analysis Tool
Calculate and analyze Abnormal Interpretation Rate (AIR) and Positive Predictive Value One (PPV1) from your BI-RADS assessment category counts. Results update live and are benchmarked against BCSC national standards.
Screening Mammogram Interpretation Analysis
This interactive Screening Mammogram Interpretation Analysis tool empowers users to explore the intricate relationships between mammography interpretations, recall rates, and positive predictive value (PPV). By adjusting sliders or directly inputting numerical values for various assessment categories — ranging from benign findings to highly suggestive malignancies — users can dynamically observe how these inputs influence calculated metrics.
Designed to enhance understanding of screening mammography’s performance, the tool provides immediate feedback on total interpretations, recall rates (compared against established benchmarks), and PPV1, alongside explanatory information about the significance of these metrics in clinical practice.
Audio Overview — MMOA Academy On Air
Mammogram Assessment Categories
Enter the number of mammograms in each assessment category for your audit period.
Cancer Detection Data
Enter the outcomes for recalled patients to calculate PPV1. True Positive + False Positive should equal your total recalled count.
Performance Indicators
Abnormal Interpretation Rate (AIR)
Enter data to calculatePositive Predictive Value One (PPV1)
Enter data to calculateEducational Resources
Breast Cancer Surveillance Consortium
Access benchmark data and research on mammography performance metrics.
Visit websiteACR BI-RADS Atlas
Comprehensive guide to standardized breast imaging findings terminology and assessment categories.
Learn moreRecommended Reading
Linver MN, Osuch JR, Brenner RJ, Smith RA. The mammography audit: a primer for the mammography quality standards act (MQSA). AJR 1995;165(1):19–25.
Read articleMethodology & Frequently Asked Questions
- What does this Screening Mammography Interpretation Analysis tool calculate?
- The tool calculates two key screening performance metrics: the Abnormal Interpretation Rate (AIR), also known as recall rate, and Positive Predictive Value One (PPV1). Both are calculated from BI-RADS category counts and cancer detection data you enter, and are compared against BCSC national benchmarks.
- What is the formula for AIR in this tool?
- AIR (%) = (N0 + N3 + N4 + N5) / (N_negative + N0 + N3 + N4 + N5) × 100. Where N_negative is the count of BI-RADS 1 and 2 interpretations, and N0, N3, N4, N5 are the counts of each positive BI-RADS category. The BCSC benchmark range is 5%–12%.
- What is PPV1 and how is it calculated?
- PPV1 (Positive Predictive Value 1) is the proportion of recalled screening mammograms that resulted in a cancer diagnosis within one year. Formula: PPV1 (%) = True Positives / (True Positives + False Positives) × 100. The BCSC benchmark range is 3%–8%.
- What is the difference between a True Positive and a False Positive in this context?
- A True Positive is a recalled screening exam that led to a diagnosis of invasive breast cancer or DCIS within one year. A False Positive is a recalled exam where no cancer was found. All recalled patients fall into one of these two categories, so True Positives + False Positives should equal your total recalled count.
- Why are BI-RADS 1 and 2 included but not counted in the recall rate?
- BI-RADS 1 (Negative) and BI-RADS 2 (Benign) are negative screening interpretations — no additional evaluation is needed. They are included in the total interpretation count (denominator) but not in the positive/recalled count (numerator). This is consistent with the ACR BI-RADS audit framework and BCSC documentation.
- Should BI-RADS 3 be used in screening mammography?
- BI-RADS 3 (Probably Benign) at screening is generally discouraged by the ACR — ideally, patients with a finding appropriate for BI-RADS 3 at screening should undergo diagnostic evaluation before that assessment is assigned. However, it does occur in practice, and for audit purposes it is counted as a positive screening interpretation along with BI-RADS 0, 4, and 5.
Peer-Reviewed References
- 1.Funaro K, et al. "Understanding the Mammography Audit." Radiologic Clinics of North America. 2021. View source
- 2.Rosenberg RD, Yankaskas BC, Abraham LA, et al. "Performance Benchmarks for Screening Mammography." Radiology. 2006;241(1):55–66. View source
- 3.Lehman CD, Arao RF, Sprague BL, et al. "National Performance Benchmarks for Modern Screening Digital Mammography: Update from the BCSC." Radiology. 2017;283(1):49–58. View source
- 4.Lee CI, Abraham L, Miglioretti DL, et al. "National Performance Benchmarks for Screening Digital Breast Tomosynthesis: Update from the BCSC." Radiology. 2023;307(4):e222499. View source
- 5.Sprague BL, Miglioretti DL, Lee CI, et al. "New mammography screening performance metrics based on the entire screening episode." Cancer. 2020;126(14):3289–3296. View source
- 6.BCSC Screening Performance Benchmarks. Breast Cancer Surveillance Consortium. View source
Clinical Disclaimer
This tool is provided for educational and quality improvement purposes only. It is intended to assist radiologists, administrators, and breast imaging programs with MQSA audit preparation and internal benchmarking. Results should be interpreted in the context of your specific practice, patient population, and applicable regulatory requirements. This tool does not constitute clinical advice and should not replace professional judgment, formal audit processes, or consultation with qualified medical professionals.