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Background: Aortic valve calcification (AVC), mitral annular calcification (MAC), and coronary artery calcification (CAC) all share common atherosclerotic origins. However, the relationship between these entities is not fully understood.
Methods: A total of 722 asymptomatic individuals who underwent health screening with serial cardiac computed tomography (CT) were retrospectively selected for analysis. AVC, MAC, and CAC were identified on CT, and the severity was quantified using Agatston units (AU). Multivariable regression models were used to identify the association between the severity of CAC and the probability of prevalent AVC and MAC, and the relation between annualized progression rates of AVC, MAC and CAC.
Results: On initial CT, the prevalence of AVC, MAC, and CAC was 11.4%, 6.5%, and 46.3%, respectively. Increasing baseline CAC severity was associated with a higher probability of both prevalent AVC (odds ratio [OR] per 100 AU increase, 1.03; 95% confidence interval [CI], 1.02-1.04; < 0.001) and MAC (OR per 100 AU increase, 1.06; 95% CI, 1.05-1.07; < 0.001), even after correction for other risk factors. On follow-up CT, the interval changes of MAC and CAC scores were also highly correlated ( < 0.001). However, no significant relationship was found between the interval changes of AVC and MAC scores, or between AVC and CAC.
Conclusion: We observed a close correlation between AVC, MAC, and CAC, which is in accord with their common atherosclerotic origin. However, the correlation between MAC and CAC progression but not with AVC suggests that other factors such as hemodynamics may have an important role in the further development of calcification.
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http://dx.doi.org/10.3346/jkms.2025.40.e209 | DOI Listing |
J Korean Med Sci
September 2025
Division of Cardiology, Department of Internal Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Korea.
Background: Aortic valve calcification (AVC), mitral annular calcification (MAC), and coronary artery calcification (CAC) all share common atherosclerotic origins. However, the relationship between these entities is not fully understood.
Methods: A total of 722 asymptomatic individuals who underwent health screening with serial cardiac computed tomography (CT) were retrospectively selected for analysis.
J Cardiovasc Comput Tomogr
June 2025
Lundquist Institute, Harbor-UCLA Medical Center, Torrance, CA, USA. Electronic address:
Background: Heart failure (HF) is associated with a large socioeconomic burden. The growth of cardiac computed tomography (CT) has allowed for investigation of new applications in predicting risk of cardiovascular disease.
Objective: To determine if cardiac CT imaging biomarkers could predict new-onset HF and improve discrimination in a current HF prediction model.
Circ Cardiovasc Imaging
January 2025
Department of Cardiology, Odense University Hospital, Denmark (N.S.B.M., J.S.D., M.A., A.H., R.C.-S., J.E.M., K.A.Ø., M.-A.C.).
Background: Aortic valve calcification (AVC) has been shown to be a powerful assessment of aortic stenosis (AS) severity and a predictor of adverse outcomes. However, its accuracy in patients with low-flow AS has not yet been proven. The objective of the study was to assess the predictive value of AVC in patients with classical low-flow (CLF, that is, low-flow reduced left ventricular ejection fraction) or paradoxical low-flow (PLF, that is, low-flow preserved left ventricular ejection fraction) AS.
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May 2024
Institut Universitaire de Cardiologie et Pneumologie de Québec (Quebec Heart & Lung Institute), Université Laval, Canada (A.P., N.L., N.S.B.M., L.T., C.R., M.-A.C.).
Int J Cardiovasc Imaging
March 2025
Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
To intra-individually investigate the variation of coronary artery calcium (CAC), aortic valve calcium (AVC), and mitral annular calcium (MAC) scores and the presence of blur artifacts as a function of temporal resolution in patients undergoing non-contrast cardiac CT on a dual-source photon counting detector (PCD) CT. This retrospective, IRB-approved study included 70 patients (30 women, 40 men, mean age 78 ± 9 years) who underwent ECG-gated cardiac non-contrast CT with PCD-CT (gantry rotation time 0.25 s) prior to transcatheter aortic valve replacement.
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