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Annals of Saudi Medicine logoLink to Annals of Saudi Medicine
. 2020 Apr 2;40(2):81-86. doi: 10.5144/0256-4947.2020.81

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

Ahmed L Fathala a,, Fatoun Alfaer a, Alaa Aldurabi a, Mohammed Shoukri b, Hani Alsergani c
PMCID: PMC7118238  PMID: 32241166

ABSTRACT

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.


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INTRODUCTION

Breast arterial calcification (BAC), which can be assessed with mammography, appears to be associated with an increased risk of cardiovascular events. Several studies have shown increased hazards for cardiovascular disease among BAC-positive women, when adjusted for age and conventional risk factors.1-5 These positive studies outnumber several small studies that have demonstrated no significant association between BAC and coronary artery disease (CAD).6-8 The relationship between BAC and coronary artery calcification (CAC) has been examined in several small studies; most have shown a positive association between BAC and CAC, while one found no association.8-12 Overall, most studies have suggested that BAC has a strong association with CAD and that BAC may be associated with an increased risk of CAD in asymptomatic women. Only one study that examined the relationship between BAC and myocardial ischemia on nuclear myocardial perfusion imaging found no relationship between BAC and stress-induced myocardial ischemia.13 The relationship between BAC and angiographic CAD is uncertain: some studies have shown a positive association,14-16 and other studies have shown no association between BAC and angiographic CAD.6-8 Therefore, the main objective of this study was to examine the association between visually detected BAC on diagnostic or screening mammography and obstructive CAD on invasive coronary angiography (ICA) in women and the prevalence of BAC and its association with other conventional CAD risk factors.

PATIENTS AND METHODS

This retrospective study was approved by the local ethical committee and informed consent was waived. A review of the radiology and cardiovascular department databases between January 2017 and April 2019 was performed for cases of female patients who underwent both ICA and either diagnostic or screening mammography within six months of each other. Females with a history of CAD, such as a prior coronary artery bypass graft or prior percutaneous coronary intervention, were excluded.

Mammography

The mammograms were performed using a full-field digital mammography system with acquisition of standard mammographic views (Figure 1). BAC was reported by an experienced observer, who was blinded to the ICA results, on a calibrated workstation. BAC scoring was reported as previously described by Mostavi et al.17 BAC was classified as present or absent and graded into four grades: grade 1: absence of BAC; grade 2: a few punctate calcifications, no tram track or ring calcifications; grade 3: coarse or tram track calcifications affecting fewer than three vessels; grade 4: coarse or tram track calcifications affecting more than three vessels.17

Figure 1.

Figure 1.

(A): grade 1: absence of BAC; (B) grade 2: a few punctate calcifications, no tram track or ring calcifications; (C) grade 3: coarse or tram track calcifications affecting fewer than three vessels; (D) grade 4: coarse or tram track calcifications affecting more than three vessels.

Invasive coronary angiography

Conventional ICA was performed within six months of mammography in the cases reviewed for this research. The coronary arteries were divided into segments, according to the American Heart Association system.18 The angiograms were reported by experienced invasive cardiologists blinded to the mammography results. The stenosis was classified as significant if the lumen reduction was >50%. The ICA results were categorized as follows: 1: no obstructive CAD; 2: single–vessel disease; 3: two-vessel disease; 4: multivessel disease.

Statistical analysis

IBM SPSS version 25 was used for data analysis. Continuous measurements were reported as means and standard deviations, while the categorical variables were reported as numbers and percentages. The chi-square test was used to screen for potential risk factors and/or possible confounders associated with BAC and ICA. Risk factors with a P value in the univariate analyses stage >.15 were not included in the multivariate logistic regression models. We set P value <.05 for statistical significance.

RESULTS

We identified 203 Saudi women who had ICA performed within 6 months of mammography. Table 1 includes the demographics and CAD risk factors for the patients with normal and abnormal ICA. Patients with ICA were older than patients with a normal ICA at the time of catheterization (P=.01). There was no association between BAC and ICA (P=.108). Overall there was a higher frequency of CAD risk factors among the patients with abnormal ICA, except for smoking, hyper-tension, and chronic kidney disease (CKD). There was a positive statistical association between abnormal ICA and age, a family history of CAD, diabetes mellitus (DM), hypertension, and hypercholesterolemia, but no statistical association between abnormal ICA and BAC, smoking, and CKD.

Table 1.

Demographic and clinical characteristics by normal or abnormal invasive coronary angiography (N=203).

Normal ICA (n=113, 55.7%) Abnormal ICA (n=90, 44.3%) P value
Age at catheterization (years) 59.6 (6.5) 62.2 (7.7) .01
Family history (CAD)
 Yes 4 11 .038
 No 108 80
Smoking
 Yes 12 13 .729
 No 99 78
Diabetes
 Yes 74 74 .009
 No 38 16
Hypertension
 Yes 91 82 .044
 No 21 8
Hypercholesterolemia
 Yes 47 55 .007
 No 65 36
CKD
 Yes 47 37 .836
 No 65 54
BAC
 Yes 62 60 .108
 No 51 30

Data are number (%) or mean (SD). ICA: invasive coronary angiography; BAC: breast arterial calcification; CKD: chronic kidney disease

Multiple logistic regression identified three variables that had a significant association with ICA, including age (P=.038, OR 1.046), a family history of CAD (P=.046, OR 3.616), and DM (P=.044, OR 1.152); there was no significant statistical association between hyper-tension and hypercholesterolemia (P=.709 and .054, respectively) (Table 2).

Table 2.

Multiple logistic regression with invasive coronary angiography as the dependent variable.

Independent variable Estimate Standard error Wald P value Odds ratio 95% confidence interval
Intercept -6.746 1.750 14.865 <.001 0.0165 0.00117-0.232
Age .045 .022 4.138 .042 1.046 1.002-1.092
Family history 1.280 .646 3.928 .047 3.616 1.014-12.751
Diabetes .895 .390 5.254 .044 2.152 1.138-5.258
Hypertension .254 .503 .255 .709 1.203 0.481-3.458
Hypercholesterolemia .645 .311 4.289 .054 1.820 1.035-3.507

Model fit measures: Deviance 253.270, Cox & Snell R-square 0.114, Nagelkerke R-square 0.152

Table 3 shows the demographics and CAD risk factors for the patients with normal and abnormal BAC. BAC patients were older than patients without BAC (P=.0001). A higher prevalence of CAD risk factors, except for a family history of CAD, was found among patients with abnormal BAC. There was a positive statistical association between abnormal BAC and age, DM, hypertension, and CKD, but no statistical association between BAC and a family history of CAD.

Table 3.

Demographic and clinical characteristics by presence of breast arterial calcifications (N=202).

Negative BAC (n=81, 39.9%) Positive BAC (n=121, 38.6%) P value
Age at catheterization (years) 58.5 (5.9) 62.4 (7.5) .0001
Family history (CAD)
 Yes 8 6 .183
 No 74 115
Smoking
 Yes 12 13 .401
 No 70 108
Diabetes
 Yes 50 97 .003
 No 32 24
Hypertension
 Yes 61 112 .0001
 No 21 9
Hypercholesterolemia
 Yes 46 54 .089
 No 36 67
CKD
 Yes 22 61 .001
 No 60 60

Data are number (%) or mean (SD). BAC: breast arterial calcification; CKD: chronic kidney disease.

Multiple logistic regression analysis identified more than one variable that had a significant association with BAC, including age (P=.003, OR 1.080), hypertension (P=.001, OR 3.717), and CKD (P=.016, OR 2.309). There was no association between DM and BAC in the multivariate model (Table 4).

Table 4.

Multiple logistic regression with breast arterial calcification as the dependent variable.

Independent variable Estimate Standard error Wald P value Odds ratio 95% confidence interval
Intercept -7.635 1.678 20.694 <.001 0.00371 0.0001-0.0685
Age .076 .025 9.624 .003 1.080 1.029-1.133
Diabetes .303 .371 .665 .687 1.177 0.654-2.803
Hypertension .984 .482 4.177 .011 3.717 1.041-6.879
Chronic kidney disease .751 .336 4.997 .016 2.309 1.097-4.097

Model fit measures: Deviance 241.610, Cox & Snell R-square 0.146, Nagelkerke R-square 0.197

DISCUSSION

In this study the presence of BAC among women who underwent mammography and ICA was not associated with angiographically proven CAD on ICA. An examination of other conventional CAD risk factors that may predict obstructive CAD on ICA found that several CAD risk factors associated with CAD in either univariate or both univariate and multivariate analysis. In the univariate analysis, age, a family history of CAD, DM, hypertension, and hypercholesterolemia were associated with CAD shown on ICA, but age, a family history of CAD, DM, and hypercholesterolemia were associated with angiographically proven CAD on ICA. Our study results are consistent with prior studies. For example, Penugonda et al’s study of 94 women who underwent both mammography and ICA within a 36-month period found that BAC was not associated with cardiovascular risk factors, documented CAD, or acute cardiovascular events, suggesting that BAC as determined by mammography is not a useful predictor for CAD in intermediate- to high-risk patients.8 In a similar study, Zgheib et al found that, in women who underwent ICA, the frequency of BAC in women with CAD at ICA was not significantly different from that in women without CAD, even when the CAD severity and location were considered.6 Henkin et al studied 319 females to investigate the correlation between BAC and angiographically proven CAD and concluded that, despite correlation with some CAD risk factors, the presence of BAC did not differentiate between patients with angiographically proven CAD and those without normal coronary arteries.7 However, other published studies have demonstrated a positive relationship between BAC and angiographically proven CAD. The largest study to date, by Dale et al, followed 819 women and found an OR of 6.2 (95% CI, 4.3–8.8) for the presence of BAC and angiographically proven CAD, defined as any degree of stenosis.19 In a similar case-control study by Oliveira et al, consisting of 40 women, the presence of BAC was an independent risk factor for CAD, as were hypertension and a family history of CAD.20 Similarly, Ferreira et al examined 131 women and found an adjusted OR of 4.6 (95% CI, 1.65–12.83) for any BAC and angiographically proven CAD to at least a mild degree (stenosis < 50% in one or more epicardial coronary vessels).21

A difference in the pathophysiology of BAC versus coronary atherosclerosis could potentially explain these conflicting findings. BAC primarily affects the vascular media, while coronary atherosclerosis affects the vascular intima.22 Functional and microvascular abnormalities in the cardiovascular circulation, rather than luminal stenosis, tend to be a more predominant feature of CAD in women.17 It is therefore possible that BAC has a role in these microvascular abnormalities, even in the absence of angiographic CAD, and it could have a role in cardiovascular disease risk stratification in women.

In our study, we also examined the prevalence and association of BAC with conventional CAD risk factors. The prevalence of BAC was 60% (120 BAC-positive women out of 203). There was a strong association between BAC and many CAD risk factors, including age, DM, hypertension, hypercholesterolemia, and CKD, in the univariate analysis. In the multivariate analysis, BAC was associated with age, hypertension, and CKD. The prevalence of BAC has been researched in many prior studies, including by our group, and it was 46%.4 The prevalence of BAC in previous studies varied widely from 81% to only 12%.9,23 However, the prevalence of BAC in the previously cited studies should be interpreted with caution because of relatively small sample sizes, possible bias selection, and different methods for measuring CAC. Most importantly, some studies were conducted in different geographic areas and among different ethnic groups. The relationship between BAC and CAC risk factors has been examined in prior studies. Margolis et al reported a strong association between BAC and age, hypertension, hypercholesterolemia, DM, smoking, and CKD.11 Fathala et al reported that BAC positive women were significantly older than BAC negative women and found a strong association between BAC and CAC, DM, hypertension, and CKD.4 Multiple observational studies have shown an association between BAC and CAC. CAC has emerged as one of the most promising tools to risk stratify patients in the intermediate cardiovascular risk group; one study reported that adding BAC to the 10-year atherosclerotic cardiovascular disease (ASCVD) risk significantly increased the area under the curve and net classification index improvement.24,25

Currently, the evidence on the relationship between BAC and angiographically proven CAD is conflicting and inconsistent, with some positive and some negative associations, including the current study. However, the association between BAC and CAC appears to be more consistent, with the vast majority of studies showing a positive association between BAC and CAC in multiple ethnic groups and geographic areas, except for a very few studies with small sample sizes. Studies that examined the relationship between BAC and myocardial ischemia on stress perfusion imaging are lacking, except for one study by Fathala et al, which showed no association between BAC and inducible ischemia.13 The association between BAC and incidence of CVD is apparent from several studies cited in this study. However, the current clinical application of BAC is unknown, due to the lack of prospective/outcomes studies and BAC detection and reporting challenges. Prospective studies to evaluate whether BAC improves risk stratification over standard ASCVD models are needed. The Multiethnic Study of Breast Arterial Calcium Gradation and Cardiovascular Risk (MINERVA), a 5-year prospective multiethnic cohort study, hopes to address some of these challenges and to investigate the value of BAC in predicting CAD, cerebrovascular disease, heart failure, and peripheral vascular disease.26

Our study had several limitations. It was a single-center retrospective study of women who had had mammography and ICA for symptomatic women with high-to-intermediate pre-test probability, rather than a prospective evaluation of consecutive patients. Therefore, selection biases cannot be excluded, and caution must be exercised in applying the results to the general population. Our study sample was relatively small and there was no long-term follow-up, which limits our findings with regard to long-term cardiovascular events. Finally, the study was conducted on the local population, i.e., a Mediterranean population with a certain racial, ethnic, and social background, and caution must be taken in applying the results to the worldwide population.

In summary, based on our data, there was no association between BAC and angiographically proven CD, but there was a significant association between BAC and many conventional CAD risk factors. The conflicting relationship between BAC and angiographic CAD may be explained by the differences in the patho-physiology of BAC and CAC. BAC primarily affects the vascular media, while coronary atherosclerosis tends to reside in the vascular intima. The microvascular abnormalities in the cardiovascular circulation rather than luminal stenosis tend to be more predominate in women; therefore, it is possible that BAC provides a good reflection of these microvascular abnormalities, even in the absence of angiographically proven CAD, and BAC may be a useful marker for CAD risk stratification in women. Large prospective studies with cardiovascular outcomes to evaluate whether BAC improves risk stratification over ASCVD models are needed.

Funding Statement

None.

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