The potential impact of mammographic breast arterial calcification on physician practices in a primary care setting

Measurement of breast artery calcification using an artificial intelligence detection model and its association with major adverse cardiovascular events

Breast artery calcification (BAC) obtained from standard mammographic images is currently under evaluation to stratify risk of major adverse cardiovascular events in women. Measuring BAC using artificial intelligence (AI) technology, we aimed to determine the relationship between BAC and coronary artery calcification (CAC) severity with Major Adverse Cardiac Events (MACE). This retrospective study included women who underwent chest computed tomography (CT) within one year of mammography. T-test assessed the associations between MACE and variables of interest (BAC versus MACE, CAC versus MACE). Risk differences were calculated to capture the difference in observed risk and reference groups. Chi-square tests and/or Fisher's exact tests were performed to assess age and ASCVD risk with MACE and to assess BAC and CAC association with atherosclerotic cardiovascular disease (ASCVD) risk as a secondary outcome. A logistic regression model was conducted to measure the odds ratio between explanatory variables (BAC and CAC) and the outcome variables (MACE). Out of the 99 patients included in the analysis, 49 patients (49.49%) were BAC positive, with 37 patients (37.37%) CAC positive, and 26 patients (26.26%) had MACE. One unit increase in BAC score resulted in a 6% increased odds of having a moderate to high ASCVD risk >7.5% (p = 0.01) and 2% increased odds of having MACE (p = 0.005). The odds of having a moderate-high ASCVD risk score in BAC positive patients was higher (OR = 4.27, 95% CI 1.58-11.56) than CAC positive (OR = 4.05, 95% CI 1.36-12.06) patients. In this study population, the presence of BAC is associated with MACE and useful in corroborating ASCVD risk. Our results provide evidence to support the potential utilization of AI generated BAC measurements from standard of care mammograms in addition to the widely adopted ASCVD and CAC scores, to identify and risk-stratify women who are at increased risk of CVD and may benefit from targeted prevention measures.

Incidental Breast Arterial Calcifications and Assessment of Coronary Artery Disease Risk: A Review and Recommendation

Coronary artery disease (CAD) continues to be the leading cause of morbidity and mortality in women, contributing to about 20%, or nearly 400,000, of female deaths annually in the United States. Despite their significant burden from CAD, women have been traditionally underrepresented in trials, and therefore, there is still much to be studied regarding the sex-based variations that have been reported regarding the pathophysiology, clinical presentation, efficacy of diagnostic workup, and response to therapy in CAD. Previous studies have reported that breast arterial calcifications, commonly found incidentally on screening mammography, may be associated with risk of CAD; however, there are currently no specific guidelines concerning reporting and quantification practices, as well as further workup recommendations for patients who are found to have vascular calcifications. Thus, the question remains whether breast arterial calcifications can serve as a sex-specific marker for CAD, and whether there is enough evidence to support the use of mammography as a screening tool for CAD in women. In this review, we will summarize the current understanding of cardiovascular disease in women, the existing literature regarding breast arterial calcifications and current reporting practices, and the association of vascular calcifications with CAD risk; based on the collected evidence, we will make a recommendation whether screening mammography and breast arterial calcifications should be used to assess CAD risk, and if so, what additional workup, if any, we recommend in women found to have breast arterial calcifications on imaging.

Assessing cardiovascular risk with mammography and non-contrast chest CT: A review of the literature and clinical implications

Coronary artery disease (CAD) is the leading cause of mortality and disability globally. In the United States, about 7.2% of adults aged 20 and older are affected by CAD. However, due to its progression over decades, CAD is often undetected and unnoticed until plaque ruptures. This leads to partial or complete artery blockage, resulting in myocardial infarction. Thus, new screening methods for early detection of CAD are needed to prevent and minimize the morbidity and mortality from CAD. Vascular calcifications seen on mammography and non-contrast chest CT (NCCT) can be used for the early detection of CAD and are an accurate predictor of cardiovascular risk. This paper aims to review the basic epidemiology, pathophysiology, imaging findings, and correlation of long-term cardiovascular outcomes with vascular calcifications on mammography and NCCT.

Relationship between Arterial Calcifications on Mammograms and Cardiovascular Events: A Twenty-Three Year Follow-Up Retrospective Cohort Study

PURPOSE

Breast arterial calcifications (BAC) have been associated with cardiovascular diseases. We aimed to examine whether the presence of BAC could predict the development of cardiovascular events in the very long term, as evidence has suggested.

PATIENTS AND METHODS

We conducted a 23-year follow-up retrospective cohort study considering women specifically studied for breast cancer. After reviewing the mammograms of 1759 women, we selected 128 patients with BAC and an equal number of women without BAC.

RESULTS

Women with BAC had higher relative risk (RR) for cardiovascular events, globally 1.66 (95% CI): 1.31-2.10 vs. 0.53 (0.39-0.72), and individually for ischemic heart disease 3.25 (1.53-6.90) vs. 0.85 (0.77-0.94), hypertensive heart disease 2.85 (1.59-5.09) vs. 0.79 (0.69-0.89), valvular heart disease 2.19 (1.28-3.75) vs. 0.83 (0.73-0.94), congestive heart failure 2.06 (1.19-3.56) vs. 0.85 (0.75-0.96), peripheral vascular disease 2.8 (1.42-5.52) vs. 0.85 (0.76-0.94), atrial fibrillation 1.83 (1.09-3.08) vs. 0.86 (0.76-0.98), and lacunar infarction 2.23 (1.21-4.09) vs. 0.86 (0.77-0.96). Cox's multivariate analysis, also considering classical risk factors, indicated that this BAC was significantly and independently associated with survival (both cardiovascular event-free and specific survival; 1.94 (1.38-2.73) and 6.6 (2.4-18.4)).

CONCLUSIONS

Our data confirm the strong association of BAC on mammograms and the development cardiovascular events, but also evidence the association of BAC with cardiovascular event-free and specific survival.

Breast Arterial Calcification Rates in a Diverse, Urban Group of Screening Mammography Patients

PURPOSE

Breast arterial calcifications (BAC), detected by digital mammography are a potential marker of coronary artery disease (CAD). Past BAC research has been limited by having primarily racially and ethnically homogeneous samples, samples at higher risk for CAD, and neglecting to explore the influence of women's health factors. The purpose of this study was to evaluate the prevalence of, and factors associated with, BAC in an ethnically and racially diverse group.

METHODS

We conducted a retrospective chart review on 17,237 screening mammography patients. Mammography results and patient responses to a demographic and medical history questionnaire were abstracted. Logistic regression was used.

RESULTS

BAC prevalence was 12.3%. Age was a significant risk factor, with the odds of BAC approximately doubling every decade. Age-adjusted analyses showed: 1) higher BAC prevalence among Hispanic, Black, and Ashkenazi women; 2) lower BAC prevalence among nulliparous and pre-menopausal women, those with dense breasts and breast implants, and those currently using HRT; and 3) no association between BAC prevalence and BMI or age at menarche.

CONCLUSIONS

BAC prevalence differs according to age, ethnicity, race, women's health, and breast-specific factors. Communication of BAC information in clinical settings could potentially prompt women to engage in preventive care.