Breast arterial calcification (BAC) on mammography has been identified as calcific medial sclerosis of medium-sized breast arteries, and has been reported to be associated with cardiovascular risk factors, coronary artery disease, and cardiovascular mortality. Carotid intima-media thickness (C-IMT) is a well-known surrogate marker of atherosclerosis and predictor of cardiovascular morbidity and mortality. Consequently, the present study was designed to investigate the association between the presence of BAC on mammography and C-IMT. Twenty-five postmenopausal cases with BAC and 29 subjects without BAC on mammography were included in the study. Cardiovascular risk factors, number of childbirths, postmenopausal duration, and age at menopause were all noted besides detailed physical and laboratory examination. In the whole study population C-IMT was measured with B-mode ultrasound. The women with BAC had significantly increased number of childbirths, postmenopausal duration, frequency of diabetes mellitus, systolic blood pressure, fasting glucose, and CIMT (0.87 +/- 0.17 mm versus 0.60 +/- 0.19 mm) in comparison with the women without BAC (P < 0.05 for all). The C-IMT was correlated with age, number of childbirths, postmenopausal duration, presence of BAC, and serum triglyceride level (P < 0.05 for all). Independent predictors of C-IMT were the presence of BAC on mammography (beta = 0.463, P < 0.001) and serum triglyceride level (beta = 0.222, P = 0.042), whereas the only independent predictor of BAC was CIMT (chi(2) = 23.41, beta = 7.56, P = 0.004). Findings of the present study suggest that the BAC on mammography is independently associated with C-IMT. Screening mammographies merit to be evaluated for the presence of BAC, which might benefit cardiovascular preventive medicine in women by predicting atherosclerosis.
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http://dx.doi.org/10.1007/s00380-008-1058-5 | DOI Listing |
PLOS Digit Health
December 2024
Heart and Vascular Institute, Stamford Hospital, Stamford, Connecticut, United States of America.
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.
View Article and Find Full Text PDFDiagn Interv Imaging
October 2024
Department of Medical Imaging, Hopital Henri Mondor, Assistance Publique-Hopitaux de Paris, 94000, Creteil, France.
J Breast Imaging
October 2024
Victorian Heart Institute & Monash Health Heart, Victorian Heart Hospital, Monash University, Clayton, VIC, Australia.
Objective: The performance of a commercially available artificial intelligence (AI)-based software that detects breast arterial calcifications (BACs) on mammograms is presented.
Methods: This retrospective study was exempt from IRB approval and adhered to the HIPAA regulations. Breast arterial calcification detection using AI was assessed in 253 patients who underwent 314 digital mammography (DM) examinations and 143 patients who underwent 277 digital breast tomosynthesis (DBT) examinations between October 2004 and September 2022.
J Ultrasound Med
October 2024
Department of Radiology, Faculty of Medicine, Amasya University, Amasya, Turkey.
Objectives: To investigate the relationship between the mammography-detected breast arterial calcification (BAC) and orbital color Doppler ultrasonography (CDUS) results.
Methods: Our single-center study, included female patients who applied to our hospital between January and May 2022 and underwent mammography and orbital CDUS examinations. Two radiologists evaluated the mammograms, grouped the patients as BAC (+) and BAC (-), and performed orbital CDUS.
Am J Prev Cardiol
September 2024
Department of Radiology, Innsbruck Medical University, Innsbruck, Austria.
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).
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