Classification and Reporting of Breast Arterial Calcifications: Current State and Ongoing Challenges

Area of Science:

• Cardiology
• Radiology
• Women's Health

Background:

• Cardiovascular disease (CVD) is a leading cause of death in women, with current risk assessments being less effective due to a lack of female-specific factors.
• Mammography, a breast cancer screening tool, incidentally captures images of breast arterial calcifications (BAC), a potential indicator of CVD risk.
• BAC is underutilized in clinical practice due to inconsistent reporting and lack of standardized guidelines.

Purpose of the Study:

• To explore the potential of breast arterial calcifications (BAC) detected on mammograms for improving cardiovascular disease (CVD) risk stratification in women.
• To review current methods for BAC classification and the emerging role of artificial intelligence (AI) in its quantification.
• To understand the attitudes of patients and clinicians towards BAC reporting and its clinical utility.

Main Methods:

• Review of existing literature on breast arterial calcifications (BAC) and their association with cardiovascular disease (CVD).
• Exploration of qualitative and quantitative techniques for BAC classification.
• Discussion of artificial intelligence (AI) applications for automating BAC quantification.
• Analysis of survey data on stakeholder attitudes towards BAC reporting.

Main Results:

• Breast arterial calcifications (BAC) are associated with increased cardiovascular disease (CVD) risk in women.
• Artificial intelligence (AI) shows promise in automating the quantification of BAC.
• Significant variability exists in current BAC reporting practices and stakeholder attitudes.

Conclusions:

• Integrating BAC assessment from mammography could enhance personalized CVD risk assessment for women.
• Standardized reporting guidelines, AI-driven quantification, and cost-effectiveness analyses are needed for routine clinical adoption.
• Further research is required to establish clear clinical follow-up protocols for identified BAC.