Prediction of Subclinical Coronary Artery Disease With Breast Arterial Calcification and Low Bone Mass in Asymptomatic Women

Evaluation of a deep learning-based software to automatically detect and quantify breast arterial calcifications on digital mammogram

PURPOSE

The purpose of this study was to evaluate an artificial intelligence (AI) software that automatically detects and quantifies breast arterial calcifications (BAC).

MATERIALS AND METHODS

Women who underwent both mammography and thoracic computed tomography (CT) from 2009 to 2018 were retrospectively included in this single-center study. Deep learning-based software was used to automatically detect and quantify BAC with a BAC AI score ranging from 0 to 10-points. Results were compared using Spearman correlation test with a previously described BAC manual score based on radiologists' visual quantification of BAC on the mammogram. Coronary artery calcification (CAC) score was manually scored using a 12-point scale on CT. The diagnostic performance of the marked BAC AI score (defined as BAC AI score ≥ 5) for the detection of marked CAC (CAC score ≥ 4) was analyzed in terms of sensitivity, specificity, accuracy and area under the receiver operating characteristic curve (AUC).

RESULTS

A total of 502 women with a median age of 62 years (age range: 42-96 years) were included. The BAC AI score showed a very strong correlation with the BAC manual score (r = 0.83). Marked BAC AI score had 32.7 % sensitivity (37/113; 95 % confidence interval [CI]: 24.2-42.2), 96.1 % specificity (374/389; 95 % CI: 93.7-97.8), 71.2 % positive predictive value (37/52; 95 % CI: 56.9-82.9), 83.1 % negative predictive value (374/450; 95 % CI: 79.3-86.5), and 81.9 % accuracy (411/502; 95 % CI: 78.2-85.1) for the diagnosis of marked CAC. The AUC of the marked BAC AI score for the diagnosis of marked CAC was 0.64 (95 % CI: 0.60-0.69).

CONCLUSION

The automated BAC AI score shows a very strong correlation with manual BAC scoring in this external validation cohort. The automated BAC AI score may be a useful tool to promote the integration of BAC into mammography reports and to improve awareness of a woman's cardiovascular risk status.

Does the absence of breast arterial calcification (BAC 0) rule out severe coronary artery disease? A computed tomography angiography study

Background

Cardiovascular risk (CV)-stratification in females is challenging, and current models miss a high proportion at-risk. Breast arterial calcifications (BAC) are independent prognosticators, but their interaction with the coronary artery disease profile by computed tomography (CT) is controverse, and the role of BAC 0 unclear.

Objective

to investigate the interaction of BAC with coronary CT outcomes (CAC score, coronary stenosis severity and high-risk plaque (HRP).

Methods

Consecutive patients referred to mammography (MG) and coronary CTA for clinical indications within 1 year were included. Three different age groups were compared (<55 years;55-65 years;>65 years).

Results

443 patients were included. There were significant age differences for the prevalence of BAC 0 (p<0.001), BAC 0/CAC>300 AU (p=0.0023) and obstructive disease (>50% stenosis)(p=0.0048) but not for high-risk-plaque (HRP)(p=0.4905). High CAC (>300 AU) was present in only 0.82% of females with BAC 0 in less than 55 year, but significantly more often in those above 65 years (p=0.0004;OR=16.58:95% CI: 2.829-361.7) and 55 years with 12.1% and 8.4%. Obstructive coronary disease (>50% stenosis) in BAC 0 was present in 18.2%; with age-dependent differences (10.7% vs 14.7% vs 29.9%) (p=0.0003). The correlation between BAC, CAC and CADRADS was weak (r=0.246 and r=0.243, p<0.001). There was no association of BAC with HRP.

Conclusion

BAC 0 rules out severe CAC >300AU in females <55 years only, but not in those above 55 years- with adherent implications for primary prevention. However, BAC 0 does not to rule out obstructive disease and high-risk plaques in symptomatic patients among all age groups.

Recurrent attention U-Net for segmentation and quantification of breast arterial calcifications on synthesized 2D mammograms

Breast arterial calcifications (BAC) are a type of calcification commonly observed on mammograms and are generally considered benign and not associated with breast cancer. However, there is accumulating observational evidence of an association between BAC and cardiovascular disease, the leading cause of death in women. We present a deep learning method that could assist radiologists in detecting and quantifying BAC in synthesized 2D mammograms. We present a recurrent attention U-Net model consisting of encoder and decoder modules that include multiple blocks that each use a recurrent mechanism, a recurrent mechanism, and an attention module between them. The model also includes a skip connection between the encoder and the decoder, similar to a U-shaped network. The attention module was used to enhance the capture of long-range dependencies and enable the network to effectively classify BAC from the background, whereas the recurrent blocks ensured better feature representation. The model was evaluated using a dataset containing 2,000 synthesized 2D mammogram images. We obtained 99.8861% overall accuracy, 69.6107% sensitivity, 66.5758% F-1 score, and 59.5498% Jaccard coefficient, respectively. The presented model achieved promising performance compared with related models.

Coronary and Extra-coronary Subclinical Atherosclerosis to Guide Lipid-Lowering Therapy

PURPOSE OF REVIEW

To discuss and review the technical considerations, fundamentals, and guideline-based indications for coronary artery calcium scoring, and the use of other non-invasive imaging modalities, such as extra-coronary calcification in cardiovascular risk prediction.

RECENT FINDINGS

The most robust evidence for the use of CAC scoring is in select individuals, 40-75 years of age, at borderline to intermediate 10-year ASCVD risk. Recent US recommendations support the use of CAC scoring in varying clinical scenarios. First, in adults with very high CAC scores (CAC ≥ 1000), the use of high-intensity statin therapy and, if necessary, guideline-based add-on LDL-C lowering therapies (ezetimibe, PCSK9-inhibitors) to achieve a ≥ 50% reduction in LDL-C and optimally an LDL-C < 70 mg/dL is recommended. In patients with a CAC score ≥ 100 at low risk of bleeding, the benefits of aspirin use may outweigh the risk of bleeding. Other applications of CAC scoring include risk estimation on non-contrast CT scans of the chest, risk prediction in younger patients (< 40 years of age), its value as a gatekeeper for the decision to perform nuclear stress testing, and to aid in risk stratification in patients presenting with low-risk chest pain. There is a correlation between extra-coronary calcification (e.g., breast arterial calcification, aortic calcification, and aortic valve calcification) and incident ASCVD events. However, its role in informing lipid management remains unclear. Identification of coronary calcium in selected patients is the single best non-invasive imaging modality to identify future ASCVD risk and inform lipid-lowering therapy decision-making.

Challenges in Cardiovascular Imaging in Women with Breast Cancer

Cardiovascular imaging in breast cancer patients is paramount for the surveillance of cancer therapy-related cardiac dysfunction (CTRCD); however, it comes with specific limitations. PURPOSE OF REVIEW: This review aims to describe the unique challenges faced in cardiovascular imaging of breast cancer patients, discuss evidence to support the utility of various imaging modalities, and provide solutions for improvement in imaging this unique population. RECENT FINDINGS: Updated clinical society guidelines have introduced more unifying surveillance of CTRCD, although there remains a lack of a universally accepted definition. Traditional and novel multi-modality imaging can be used to detect CTRCD and myocarditis in breast cancer patients. Cardiovascular imaging in breast cancer patients is difficult due to reconstructive surgery. Although echocardiography with myocardial strain is the cornerstone, multi-modality imaging can be used to evaluate for CTRCD and myocarditis. Novel imaging techniques to improve the diagnosis of cardiotoxicities in breast cancer patients are needed.

Associations of Breast Arterial Calcifications with Cardiovascular Disease

Cardiovascular diseases (CVD), including coronary artery disease (CAD), continue to be the leading cause of global mortality among women. While traditional CVD/CAD prevention tools play a significant role in reducing morbidity and mortality among both men and women, current tools for preventing CVD/CAD rely on traditional risk factor-based algorithms that often underestimate CVD/CAD risk in women compared with men. In recent years, some studies have suggested that breast arterial calcifications (BAC), which are benign calcifications seen in mammograms, may be linked to CVD/CAD. Considering that millions of women older than 40 years undergo annual screening mammography for breast cancer as a regular activity, innovative risk prediction factors for CVD/CAD involving mammographic data could offer a gender-specific and convenient solution. Such factors that may be independent of, or complementary to, current risk models without extra cost or radiation exposure are worthy of detailed investigation. This review aims to discuss relevant studies examining the association between BAC and CVD/CAD and highlights some of the issues related to previous studies' design such as sample size, population types, method of assessing BAC and CVD/CAD, definition of cardiovascular events, and other confounding factors. The work may also offer insights for future CVD risk prediction research directions using routine mammograms and radiomic features other than BAC such as breast density and macrocalcifications.

Mammography biomarkers of cardiovascular and musculoskeletal health: A review

Breast density (BD) and breast arterial calcifications (BAC) can expand the role of mammography. In premenopause, BD is related to body fat composition: breast adipose tissue and total volume are potential indicators of fat storage in visceral depots, associated with higher risk of cardiovascular disease (CVD). Women with fatty breast have an increased likelihood of hypercholesterolemia. Women without cardiometabolic diseases with higher BD have a lower risk of diabetes mellitus, hypertension, chest pain, and peripheral vascular disease, while those with lower BD are at increased risk of cardiometabolic diseases. BAC, the expression of Monckeberg sclerosis, are associated with CVD risk. Their prevalence, 13 % overall, rises after menopause and is reduced in women aged over 65 receiving hormonal replacement therapy. Due to their distinct pathogenesis, BAC are associated with hypertension but not with other cardiovascular risk factors. Women with BAC have an increased risk of acute myocardial infarction, ischemic stroke, and CVD death; furthermore, moderate to severe BAC load is associated with coronary artery disease. The clinical use of BAC assessment is limited by their time-consuming manual/visual quantification, an issue possibly solved by artificial intelligence-based approaches addressing BAC complex topology as well as their large spectrum of extent and x-ray attenuations. A link between BD, BAC, and osteoporosis has been reported, but data are still inconclusive. Systematic, standardised reporting of BD and BAC should be encouraged.

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.

Imaging of heart disease in women: review and case presentation

Cardiovascular diseases (CVD) remain the leading cause of mortality worldwide. Although major diagnostic and therapeutic advances have significantly improved the prognosis of patients with CVD in the past decades, these advances have less benefited women than age-matched men. Noninvasive cardiac imaging plays a key role in the diagnosis of CVD. Despite shared imaging features and strategies between both sexes, there are critical sex disparities that warrant careful consideration, related to the selection of the most suited imaging techniques, to technical limitations, and to specific diseases that are overrepresented in the female population. Taking these sex disparities into consideration holds promise to improve management and alleviate the burden of CVD in women. In this review, we summarize the specific features of cardiac imaging in four of the most common presentations of CVD in the female population including coronary artery disease, heart failure, pregnancy complications, and heart disease in oncology, thereby highlighting contemporary strengths and limitations. We further propose diagnostic algorithms tailored to women that might help in selecting the most appropriate imaging modality.

Prevalence and Severity of Breast Arterial Calcification on Routine Mammography

Aim. To determine the frequency of detection and severity of breast arterial calcification (BAC) among women undergoing mammography on the basis of medical institutions in Moscow.Material and methods. The analysis included 4274 digital mammograms of women aged 40-93 who underwent preventive or diagnostic mammography. Standard full-format digital mammograms were performed in craniocaudal and mediolateral oblique projections. In addition to the standard diagnosis of breast disease, all mammograms were evaluated for the presence of BAC. The severity of BAC was assessed on a 12-point scale: mild 3-4 points, moderate 5-6 points, severe 7-12 points.Results. The average frequency of BAC was 10.1%, in the middle age group 50-59 years – 6.0%. The incidence of BAC increased with age, from 0.4% to 0.6% in women <50 years of age to >50% in women ≥80 years of age. A statistically significant and pronounced correlation was found between the woman's age and the presence of BAC r Pearson =0.769 (p<0.001). There was also a less noticeable but statistically significant correlation between age and severity of BAC r Spearman =0.319 (p<0.001). Regression analysis made it possible to estimate the probability of CAD depending on age. In women <50 years of age, only mild to moderate calcification occurred, while those ≥65 years of age had a significant increase in the incidence of severe CAD.Conclusion. There was an expected increase with age in both prevalence and severity of BAC. Cases of severe BAC in women younger than 65 years of age and any BAC in women younger than 50 years of age are atypical and require clarification of their association with cardiovascular and other diseases.

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.

Next Generation Risk Markers in Preventive Cardio-oncology

PURPOSE OF REVIEW

Cardiovascular disease (CVD) and cancer are the first and second most common causes of death within the USA. It is well established that a diagnosis of cancer increases risk and predisposes the patient to CVD, and vice versa. Despite these associations, cancer is not yet incorporated into current CVD risk calculators, necessitating additional CV risk markers for improved stratification in this at-risk population. In this review, we consider the utility of breast arterial calcification (BAC), coronary artery calcification (CAC), clonal hematopoiesis of indeterminate potential (CHIP), and cancer and cancer treatment in CVD risk assessment.

RECENT FINDINGS

There is evidence supporting the use of BAC, CAC, CHIP, and cancer and cancer treatment for improved CV risk stratification in patients with cancer and those who are being screened for cancer. BAC has been shown to predict CAC, coronary atherosclerotic plaque on coronary CTA, coronary artery stenosis on coronary angiography, and CVD events and accordingly enhances CVD risk stratification beyond the atherosclerotic CVD (ASCVD) risk pooled cohort equation. Additionally, CAC visualized on CT utilized for lung cancer screening, radiation planning, and cancer staging is predictive of coronary artery disease (CAD). Furthermore, CHIP can also be utilized in risk stratification, as the presence of CHIP carries a 40% increase in CV risk independent of traditional CV risk factors. Finally, cancer and many oncologic therapies confer a lifelong increased risk of CVD. We propose an emerging set of tools to be incorporated into the routine continuum of CVD risk assessment in individuals who have been treated for cancer or who are being screened for cancer development. In this review, we discuss BAC, CAC, CHIP, and cancer and cancer treatment as emerging risk markers in cardiovascular health assessment. Their effectiveness in predicting and influencing the burden of CVD will be discussed, along with suggestions on their incorporation into preventive cardio-oncology practice. Future research will focus on short- and long-term CVD outcomes in these populations.

Breast arterial calcifications on mammography: a new marker of cardiovascular risk in asymptomatic middle age women?

OBJECTIVES

To determine whether breast arterial calcification (BAC) detected on mammography can predict the presence of coronary artery calcification (CAC) on CT in women.

METHODS

Women explored with both mammography and thoracic CT from 2009 to 2018 were retrospectively included. Women were separated in 3 categories (no BAC, few BAC, and marked BAC) using a specific 12-point scale. Similar scale was used to evaluate the amount of CAC on CT. The mean sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and diagnostic accuracy of BAC for the detection of CAC were calculated. Statistical significance was assessed with Pearson's chi-squared test and Fisher's exact test as appropriate.

RESULTS

A total of 507 women (mean age: 62 years ± 16) were included. Patients with high amount of BAC were older (72 ± 11 vs. 59 ± 15 years old; p < .0001), were more frequently hypertensive (66% vs. 31%; p < .0001), and had more frequently renal failure (21% vs. 6%; p < .0003) than patients without BAC. The sensitivity, specificity, PPV, NPV, and diagnostic accuracy of BAC for the detection of women with marked CAC were 53.1%, 87.6%, 55.0%, 86.7%, and 79.9%, respectively. The highest diagnostic accuracy was obtained in patients under 60 years: 84.2% for detection of CAC and 93.2% for detection of women with marked CAC.

CONCLUSION

The presence of BAC on mammography was linked to the presence of CAC and may be used as a cardiovascular marker in patient less than 60 years.

KEY POINTS

• The diagnostic accuracy of breast arterial calcification (BAC) to detect the presence of coronary artery calcification (CAC) was 70.4% and reached to 79.9% to detect women with high amount of CAC. • Highest diagnostic accuracy of BAC to detect CAC (93.2%) was noticed in women under 60 years. • The presence of BAC on mammography may be used as a cardiovascular risk marker in women, especially under 60 years.

Reporting and Perceptions of Breast Arterial Calcification on Mammography: A Survey of ACR Radiologists

RATIONALE AND OBJECTIVES

The ACR Breast Commission conducted a member survey to evaluate current practices of reporting breast arterial calcification (BAC) on mammography and to determine perceptions about the value of BAC communication and follow-up recommendations among radiologists.

MATERIALS AND METHODS

In September 2020, an 18-item online survey was emailed to radiologist members of the American College of Radiology (ACR). Questions included radiologist demographics, current BAC reporting practices, follow-up recommendations, and perceptions about BAC. Five-point Likert scales were used and multivariate analysis was performed.

RESULTS

Of 598 completed survey responses, up to 87% (522/598) of ACR radiologist members include BAC in mammogram reports. However, only 41% (212/522) of respondents report BAC 'always' or 'most of the time'. Radiologist factors significantly associated with BAC reporting include years in practice and fellowship training with those in practice longer more likely to report BAC (OR 1.10, 95% CI, [1.01-1.20], p = 0.023) and those with fellowship training less likely to report BAC (OR 0.63, 95% CI, [0.42-0.94], p = 0.024). When BAC is reported, 69% (360/522) simply indicate the presence of BAC, 23% (121/522) provide a subjective grading of BAC burden, and 1% (6/522) calculate a BAC score. Among the radiologists reporting BAC, 58% (301/522) make no subsequent recommendations, while the remainder recommend primary care follow-up (39%; 204/522), cardiology evaluation (13%; 68/522), and/or coronary calcium scoring CT (11%; 59/522). Overall, there was agreement from 66% (392/598) of respondents that BAC is a cardiovascular risk factor. However, there was no consensus on whether patients and/or providers should be informed about BAC or whether reporting of BAC should become a standardized practice in breast imaging. Older and more experienced radiologists are more likely to agree that BAC is a cardiovascular risk factor (p = 0.022), providers should be informed about BAC (p = 0.002 and 0.006), BAC reporting should be a standardized practice (p = 0.004 and 0.001), and feel more comfortable informing patients about BAC (p = 0.001 and 0.003).

CONCLUSION

Radiologists' reporting practices and perceptions regarding BAC are not homogeneous. Although many radiologists report BAC to varying degrees, it is not routinely reported or recommended for follow-up in mammogram reports. Experienced radiologists are more likely to include and value BAC in their breast imaging practice.

Assessment of the Severity of Breast Artery Calcification on a Mammogram: Intraoperator and Interoperator Reproducibility

Purpose. To study approaches to the quantitative assessment of breast arterial calcification (BAC) – a new surrogate marker of high cardiovascular risk in women, to determine the most detailed way to quantify BAC and to assess the reproducibility of these parameters.

Material and methods. Mammograms of 1,078 women were analyzed for the presence of BAC. The intraoperator reproducibility of the assessment of the severity of BAC using a 12-point scale (Margolies L et al., 2016) was studied by analyzing 20 mammograms by the same operator twice with an interval of at least 2 weeks. Inter-operator reproducibility was studied by analyzing 99 mammograms by two independent operators.

Results. When assessing the intraoperative reproducibility of the total score for each mammary gland, the exact coincidence of the results was noted in 70% (95% confidence interval [CI] 53.5-83.4), in cases of difference of no more than 1 point – in 27.5% (95%CI 14.6-43.9), only in 1 case the difference in assessments was 2 points. No systematic error was found between the two measurements (p=1.0), the correlation coefficient was rs=0.973. The assessment of inter-operator reproducibility showed that the exact coincidence of indicators was present in 48.5% (95%CI 41.3-55.7), in 91.4% (95% CI 86.6-94.9) cases, the total score for each the mammary gland differed by no more than 1 point. There was no systematic error between the measurements of the two experts (p=0.438), the correlation coefficient was rs=0.942.

Conclusion. A good intraoperator and interoperator reproducibility of indicators of the severity of BAC on a 12-point scale has been shown, which makes it possible to recommend it for use in science and practice.

Potential clinical impact of reporting breast arterial calcifications on screening mammograms in women without known coronary artery disease

Cardiovascular disease remains a leading cause of death in women. 10-year likelihood for a cardiovascular event is determined by the American College of Cardiology Atherosclerotic Cardiovascular disease risk score calculator (ASVCD); however, this does not encompass risk factors unique to women. Breast arterial calcifications (BAC) detected on screening mammography may serve as a proxy for coronary atherosclerosis (CAC) in women. Our purpose was to investigate the correlation between BAC and CAC on imaging in women without a diagnosis of atherosclerosis to determine the potential clinical impact. Retrospective review was performed on a cohort of females evaluated by internists at our institution in 2019. Study patients had a screening mammogram within 1 year of a noncardiac chest CT. Clinical data were collected to determine ASCVD risk score. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of BAC in detecting CAC were determined. 222 women met inclusion criteria, ranging from 41 to 77 years of age, among which 25% (56/222) had BAC. 84% (47/56) of women with BAC had CAC on CT, yielding a sensitivity, specificity, PPV, and NPV of 51%, 93%, 84%, and 72%, respectively. Of the 47 patients who had both BAC and CAC, 66% had an unknown or low-to-borderline ASCVD score. Women with BACs have a high specificity for CAC. The reporting of BACs should prompt clinicians to risk stratify women for atherosclerotic disease. These women may otherwise be undetected by conventional risk calculators.

Prognostic value of lower bone mineral density in predicting adverse cardiovascular disease in Asian women

OBJECTIVE

We investigated whether the evaluation of bone mineral density (BMD) provides independent and incremental prognostic value for predicting atherosclerotic cardiovascular disease (ASCVD) in women.

METHODS

A total of 12 681 women aged 50-80 years (mean, 63.0±7.8 years) who underwent dual-energy X-ray absorptiometry were retrospectively analysed. We assessed the hazard ratio (HR) for ASCVD events (ASCVD death, non-fatal myocardial infarction and ischaemic stroke) according to the BMD or a clinical diagnosis of osteopenia or osteoporosis, with adjustment for clinical risk factors, including age, body mass index, hypertension, type 2 diabetes, hyperlipidaemia, current smoking and previous fracture. We also evaluated whether the addition of BMD or a clinical diagnosis of osteopenia or osteoporosis to clinical risk factors improved the prediction for ASCVD events.

RESULTS

In total, 468 women (3.7%) experienced ASCVD events during follow-up (median, 9.2 years). Lower BMD at the lumbar spine, femur neck and total hip was independently associated with higher risk for ASCVD events (adjusted HR per 1-standard deviation decrease in BMD: 1.16, p<0.001; 1.29, p<0.001; 1.38, p<0.001; respectively). A clinical diagnosis of osteoporosis was also independently associated with higher risk for ASCVD events (adjusted HR: 1.79, p<0.001). The addition of BMD or a clinical diagnosis of osteopenia or osteoporosis to clinical risk factors demonstrated significant incremental value in discriminating ASCVD events (addition of total hip BMD, p for difference <0.001).

CONCLUSION

The evaluation of BMD provides independent and incremental prognostic value for ASCVD in women and thus may improve risk stratification in women.

High Cardiovascular Risk in Older Men With Severe Peripheral Artery Calcification on High-Resolution Peripheral QCT Scans: The STRAMBO Study

[Figure: see text].

Breast Arterial Calcification: A Potential Biomarker for Atherosclerotic Cardiovascular Disease Risk?

PURPOSE OF REVIEW

We aimed to summarize the current evidence regarding the association between breast arterial calcification (BAC) and atherosclerotic cardiovascular disease (ASCVD) in women and discuss the potential role of BAC in the risk stratification and preventive approaches for ASCVD.

RECENT FINDINGS

BAC has emerged as a potential women-specific risk marker for ASCVD. Although BAC presents as a medial calcification of the arteries, notably different from the intimal atherosclerotic process, current evidence supports a correlation between BAC and ASCVD risk factors or subclinical and clinical ASCVD, such as coronary artery disease or stroke. As millions of women undergo mammograms each year, the potential clinical application of BAC in enhanced ASCVD risk estimation, with no additional cost or radiation, has tremendous appeal. Although further research regarding optimal risk assessment and management in women with BAC is required, the presence of BAC should prompt healthy cardiovascular lifestyle modifications.

Coronary artery disease prediction based on breast arterial calcification in women undergoing mammography as a screening for breast cancer

OBJECTIVE

The aim of the study was to test the potential role of breast arterial calcification (BAC) in the prediction of coronary artery disease (CAD) in women. The criterion standard for CAD diagnostics was coronary angiography.

METHODS

This retrospective study enrolled 163 consecutive women, who underwent digital mammography and coronary angiography in our hospital. We assessed the presence and severity of BAC, and tested whether the presence and/or extent of BAC could be a predictor for CAD, quantified by Gensini score.

RESULTS

BAC was presented in 34 patients (21%). Neither the presence of CAD (17 patients, 50%, vs 55 42.6%, P = 0.44), nor the Gensini score (20.5 ± 29.7 vs 15.4 ± 24.1, P = 0.3) differed significantly between BAC-present and BAC-absent patients.A finding of triple-vessel disease, however, more frequently occurred in the BAC-present (seven patients, 20.6%) than in the BAC-absent (nine patients, 7%) group, odds ratio (OR) 3.1, 95% CI 1-9.5, P = 0.049. The presence of BAC did not significantly increase the odds for the presence of CAD (OR = 1.29, P = 0.54). Among the subgroup of patients with CAD, BAC presence was associated with triple vessel disease (OR = 3.34, P = 0.049).

CONCLUSIONS

We did not confirm BAC as a predictor of CAD. However, BAC showed association with more severe forms of coronary atherosclerosis (triple vessel disease).

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

Aim: This study sought to determine breast arterial calcification (BAC) prevalence in a primary care setting and its potential use in guiding further cardiovascular workup. Materials & methods: A radiologist reviewed 282 consecutive mammograms. Characteristics of BAC-positive and negative women were compared. Results: BAC prevalence was 34%. BAC-positive women were older (mean age: 60 vs 52, p < 0.001), had higher mean 10-year cardiac risk (11 vs 6%, p < 0.001), more hypertension (65 vs 40%, p < 0.001) and coronary artery disease (10 vs 2%, p = 0.0041), statin (50 vs 32%, p = 0.006) and aspirin use (28 vs 16%, p = 0.012). Thirty-seven percent (33/96) of BAC-positive women could potentially benefit from further cardiac testing. Conclusion: Mammography identifies BAC-positive women with low traditionally assessed cardiovascular risk who might benefit from further cardiovascular workup.

DU-Net: Convolutional Network for the Detection of Arterial Calcifications in Mammograms

Breast arterial calcifications (BACs) are part of several benign findings present on some mammograms. Previous studies have indicated that BAC may provide evidence of general atherosclerotic vascular disease, and potentially be a useful marker of cardiovascular disease (CVD). Currently, there is no technique in use for the automatic detection of BAC in mammograms. Since a majority of women over the age of 40 already undergo breast cancer screening with mammography, detecting BAC may offer a method to screen women for CVD in a way that is effective, efficient, and broad reaching, at no additional cost or radiation. In this paper, we present a deep learning approach for detecting BACs in mammograms. Inspired by the promising results achieved using the U-Net model in many biomedical segmentation problems and the DenseNet in semantic segmentation, we extend the U-Net model with dense connectivity to automatically detect BACs in mammograms. The presented model helps to facilitate the reuse of computation and improve the flow of gradients, leading to better accuracy and easier training of the model. We evaluate the performance using a set of full-field digital mammograms collected and prepared for this task from a publicly available dataset. Experimental results demonstrate that the presented model outperforms human experts as well as the other related deep learning models. This confirms the effectiveness of our model in the BACs detection task, which is a promising step in providing a cost-effective risk assessment tool for CVD.

Breast artery calcification and osteoporosis in postmenopausal woman: a case report and opinion on the problem

Mammography is one of the most common screening test in the female population. In addition to identifying breast cancer, vascular calcification is clearly visualized on the mammogram, which is associated with an increased risk of cardiovascular disease, atherosclerosis, and a number of other chronic non-communicable diseases. The article presents a case report of a postmenopausal woman with breast artery calcification and osteoporosis. Identification of women at risk of non-cancer diseases significantly expands the prospects of using mammography for screening.

The Role of Sex-Specific Risk Factors in the Risk Assessment of Atherosclerotic Cardiovascular Disease for Primary Prevention in Women

PURPOSE OF REVIEW

Robust evidence is emerging regarding the contribution of sex-specific risk factors to a woman's unique risk of atherosclerotic cardiovascular disease (ASCVD). This review summarizes the available literature regarding the association of sex-specific risk factors and ASCVD in women.

RECENT FINDINGS

The American College of Cardiology and American Heart Association Guidelines recommend estimation of 10-year risk of a first ASCVD event using the 2013 Pooled Cohort Equations. This can be further personalized by identifying sex-specific risk factors present in a woman's history. There are multiple vulnerable periods across a woman's life course that are associated with increased risk of ASCVD. Risk factors across the reproductive life course that have been shown to correlate with higher risk for future ASCVD include early menarche, adverse pregnancy outcomes (such as pre-eclampsia or preterm birth), and early natural or surgical menopause. In addition, certain conditions that are more common among women, including autoimmune diseases, history of chest irradiation, and certain chemotherapies, also need to be considered. Finally, risk assessment can be refined with subclinical disease imaging (coronary calcium score) if there remains uncertainty about clinical management with lipid-lowering therapies for primary prevention after inclusion of these risk enhancers. Risk assessment for ASCVD in women requires a personalized approach that incorporates sex-specific risk factors to guide primary prevention measures, such as lipid-lowering therapies. Coronary calcium score imaging may also help further refine risk assessment, but no clinical trials conducted to date have addressed this question.

The correlation of deep learning-based CAD-RADS evaluated by coronary computed tomography angiography with breast arterial calcification on mammography

This study sought to evaluate the association of breast arterial calcification (BAC) on breast screening mammography with the Coronary Artery Disease-Reporting and Data System (CAD-RADS) based on Deep Learning-coronary computed tomography angiography (CCTA). This prospective single institution study included asymptomatic women over 40 who underwent CCTA and breast cancer screening mammography between July 2018 and April 2019. CAD-RADS was scored based on Deep Learning (DL). Mammograms were assessed visually for the presence of BAC. A total of 213 patients were included in the analysis. In comparison to the low CAD-RADS (CAD-RADS < 3) group, the high CAD-RADS (CAD-RADS ≥ 3) group, more often had a history of hypertension (P = 0.036), diabetes (P = 0.017), and chronic kidney disease (P = 0.006). They also had a significantly higher level of LDL-C (P = 0.024), while HDL-C was lower than in the low CAD-RADS group (P = 0.003). BAC was also significantly higher in the high CAD-RADS group (P = 0.002). In multivariate analysis, the presence of BAC [odd ratio (OR) 10.22, 95% CI 2.86–36.49, P < 0.001] maintained a significant associations with CAD-RADS after adjustment by meaningful variable. The same tendency was also found after adjustment by all covariates. There was a significant correlation between the severities of CAD detected by DL based CCTA and BAC in women undergoing breast screening mammography. BAC may be used as an additional diagnostic tool to predict the severity of CAD in this population.

Breast arterial calcification on mammography does not predict coronary artery disease by invasive coronary angiography

BACKGROUND

The relationship between breast arterial calcification (BAC) and angiographic coronary artery disease (CAD) is uncertain. Some studies have shown a positive association between BAC and angiographically proven CAD, while other studies have shown no association.

OBJECTIVE

Examine the association between visually detected BAC on mammography and CAD found on invasive coronary angiography (ICA) in women and compare the frequency of risk factors for CAD between women with normal and abnormal ICA.

DESIGN

Retrospective.

SETTING

Single tertiary care center.

PATIENTS AND METHODS

A review of the radiology databases was performed for female patients who underwent both ICA and mammography within six months of each other. Cases were excluded if there was a history of CAD, such as coronary artery bypass graft or prior percutaneous coronary intervention.

MAIN OUTCOME MEASURES

BAC as a predictor of obstructive CAD on ICA.

SAMPLE SIZE

203 Saudi women RESULTS: The association between age at catheterization and ICA was statistically significant ( P=.01). There was no association between BAC and abnormal ICA ( P=.108). Women with abnormal ICA were older than women with a normal ICA ( P=.01). There was a higher frequency of CAD risk factors among the patients with abnormal ICA, except for smoking. In the multiple logistic regression model, ICA was associated with age, a family history of CAD, diabetes mellitus, hypertension and hypercholesterolemia. BAC-positive women were older than BAC-negative women ( P=.0001). BAC was associated with age, diabetes, hypertension, and chronic kidney disease in the multiple logistic regression model.

CONCLUSIONS

BAC on mammography did not predict angiographically proven CAD. There was a strong association between BAC and age and many other conventional CAD risk factors.

LIMITATIONS

Relatively small sample, single-center retrospective study.

CONFLICT OF INTEREST

None.

Breast Arterial Calcification is Associated with the Progression of Coronary Atherosclerosis in Asymptomatic Women: A Preliminary Retrospective Cohort Study

We evaluated whether breast arterial calcification (BAC) is associated with the progression of coronary atherosclerosis in asymptomatic women. This retrospective observational cohort study analysed asymptomatic women from the BBC registry. In 126 consecutive women (age, 54.5 ± 7.0 years) who underwent BAC evaluation and repeated coronary computed tomography angiography (CCTA) examinations, the coronary arterial calcification score (CACS) and segment stenosis score (SSS) were evaluated to assess the progression of coronary arterial calcification (CAC) and coronary atherosclerotic plaque (CAP). CAC and CAP progression were observed in 42 (33.3%) and 26 (20.6%) women, respectively (median interscan time, 4.3 years), and were associated with the presence of BAC and a higher BAC score at baseline. Women with BAC demonstrated higher CAC and CAP progression rates and showed higher chances for CAC and CAP progression during follow-up (p < 0.001 for both). In multivariable analyses, the BAC score remained independently associated with both CAC and CAP progression rates after adjustment for clinical risk factors (β = 0.087, p = 0.029; and β = 0.020, p = 0.010, respectively) and with additional adjustment for baseline CACS (β = 0.080, p = 0.040; and β = 0.019, p = 0.012, respectively) or SSS (β = 0.079, p = 0.034; and β = 0.019, p = 0.011, respectively). Thus, BAC may be related to the progression of coronary atherosclerosis and its evaluation may facilitate decision-making.

Mammographic Screening as a Tool for Cardiovascular Risk Assessing. Part 2. Association of Breast Arterial Calcification and Cardiovascular Diseases

Prospects for the use of mammographic detection of breast arterial calcification (BAC) to improve the stratification of cardiovascular risk in the female population are of increasing interest. The purpose of the 2 part of the review is the analysis of modern literature on the relationship of the BAC with the prevalence and mortality from cardiovascular diseases (CVD). The presence of BAC on mammograms is associated with a higher likelihood of myocardial infarction, death from coronary heart disease (CHD) and CVD, as well as a 3.5-fold increase in the risk of CHD and a 5-year coronary incident (p=0.003). Women with BAC have a higher likelihood of coronary artery disease detected during angiography than women without BAC (p<0.001). Severe BAC has a stronger association with CVD than mild calcification. The association of BAC with cerebrovascular diseases and a 1.4-fold increase in the risk of ischemic stroke (p=0.004), atheromatosis of the carotid arteries and an increase in the thickness of the intima-media complex is shown. BAC is associated with atherosclerotic lesions of peripheral arteries and a decrease in the ankle-brachial index <0.9 (p=0.048). In women with chronic kidney disease, the presence of BAC indicates a 4.5-fold increase in the risk of complications associated with impaired blood flow in peripheral arteries. It is shown that the addition of BAC to the generally accepted (standard) vascular risk assessment algorithms Framingham Risk Score and Pooled Cohort Equation significantly increases the accuracy of prediction of CHD (p=0.02 and p=0.010, respectively). The detection of BAC on mammographic screening is a new promising direction for cardiovascular prophylaxis in women and opens up new opportunities for identifying groups of people with subclinical forms of CVD and high cardiovascular risk.

A Review of the Role of Breast Arterial Calcification for Cardiovascular Risk Stratification in Women

Cardiovascular disease continues to be the leading cause of death among women in the United States. One of the barriers to improving cardiovascular disease outcomes in women is the lack of reliable, effective screening modalities. Breast arterial calcification has emerged as a potential risk stratification tool. Localized deposition in the media of the artery, known as Mönckeberg medial calcific sclerosis, is notably different from the intimal atherosclerotic process commonly associated with coronary artery disease. Nonetheless, studies favor a correlation between breast arterial calcification and cardiovascular risk factors or coronary artery disease, defined as coronary artery calcification on computed tomography scan or both nonobstructive and obstructive lesions on angiography. Since a majority of women over the age of 40 undergo yearly breast cancer screening with mammography, measurement of breast arterial calcification may offer a personalized, noninvasive approach to risk-stratify women for cardiovascular disease at no additional cost or radiation. Mammography has the potential to alter the course of the leading cause of death in women, heart disease, through the evaluation of breast arterial calcification and identification of opportunities for prevention. Current evidence supports the universal reporting of breast arterial calcifications and personalized patient-provider discussions to more aggressively treat cardiac risk factors through targeted medical therapies or healthy lifestyle changes.

Breast Arterial Calcification: A Potential Surrogate Marker for Cardiovascular Disease

Breast arterial calcifications (BAC), frequently observed on screening mammography, have been considered as an incidental finding without increased risk for breast cancer. They are medial calcifications and therefore, are indicative of arteriosclerosis. Previous studies indicated that the risk factors of BAC partly overlap with those of cardiovascular disease (CVD), and the presence of BAC is associated with prevalent and incident CVD. This suggests that medial arterial calcification might contribute to CVD through a pathway distinct from the intimal atherosclerotic process. A recent study showed that the presence and severity of BAC are associated with the presence of coronary artery calcification or plaques on coronary computed tomography angiography in asymptomatic women aged more than 40 years. In addition, BAC provided an independent and incremental predictive value over conventional risk factors. Given that population-based mammography screening is currently recommended in asymptomatic women, the evaluation of BAC may be helpful in identifying high-risk women without additional cost or radiation exposure.