title: Prevalence of coronary artery disease evaluated by coronary CT angiography in women with mammographically detected breast arterial calcifications.
abstract: To assess the correlation between breast arterial calcifications (BAC) on digital mammography and the extent of coronary artery disease (CAD) diagnosed with dual source coronary computed tomography angiography (CTA) in a population of women both symptomatic and asymptomatic for coronary artery disease. 100 consecutive women (aged 34 - 86 years) who underwent both coronary CTA and digital mammography were included in the study. Health records were reviewed to determine the presence of cardiovascular risk factors such as hypertension, hyperlipidemia, diabetes mellitus, and smoking. Digital mammograms were reviewed for the presence and degree of BAC, graded in terms of severity and extent. Coronary CTAs were reviewed for CAD, graded based on the extent of calcified and non-calcified plaque, and the degree of major vessel stenosis. A four point grading scale was used for both coronary CTA and mammography. The overall prevalence of positive BAC and CAD in the studied population were 12% and 29%, respectively. Ten of the 12 patients with moderate or advanced BAC on mammography demonstrated moderate to severe CAD as determined by coronary CTA. For all women, the positive predictive value of BAC for CAD was 0.83 and the negative predictive value was 0.78. The presence of BAC on mammography appears to correlate with CAD as determined by coronary CTA (Spearman's rank correlation coefficient = 0.48, p<.000001). Using logistic regression, the inclusion of BAC as a feature in CAD predication significantly increased classification results (p=0.04).
authors: Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America.
authors: Leila
authors: L
authors: Mostafavi
authors: Department of Radiological Sciences, University of California Irvine, Irvine, CA, United States of America.
authors: Wanda
authors: W
authors: Marfori
authors: Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America.
authors: Cesar
authors: C
authors: Arellano
authors: Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America.
authors: Alessia
authors: A
authors: Tognolini
authors: Medical Imaging Informatics, Department of Radiological Sciences, University of California Los Angeles, Los Angeles, CA, United States of America.
authors: William
authors: W
authors: Speier
authors: Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America.
authors: Ali
authors: A
authors: Adibi
authors: Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America.
authors: Stefan G
authors: SG
authors: Ruehm
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D017023:Coronary Angiography / Q000379:methods; D003324:Coronary Artery Disease / Q000175:diagnosis* / Q000453:epidemiology*; D005260:Female; D006801:Humans; D016015:Logistic Models; D042361:Mammary Glands, Human / Q000098:blood supply* / Q000473:pathology*; D008327:Mammography / Q000379:methods; D008875:Middle Aged; D011237:Predictive Value of Tests; D015995:Prevalence; D014057:Tomography, X-Ray Computed / Q000379:methods; D061205:Vascular Calcification / Q000000981:diagnostic imaging*