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Updated: Jun 29, 2025

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
Published on: August 28, 2018
Clinical impact of cardiovascular calcifications on stroke incidence in primary prevention: analysis in NADESICO
Shinichi Wada1,2, Yoshitaka Iwanaga3,4, Michikazu Nakai1,5
1Department of Medical and Health Information Management, National Cerebral and Cardiovascular Center, 6-1 kishibe-shimmachi, Suita, Osaka, 564-8565, Japan.
Insights
Cardiovascular calcifications like coronary artery calcification (CAC), aortic valve (AVC), and aortic root (ARC) predict stroke incidence in patients with suspected coronary artery disease (CAD). Assessing CAC and AVC together improves stroke prediction accuracy.
Area of Science:
- Cardiology
- Radiology
- Preventive Medicine
Background:
- The predictive value of cardiovascular calcifications for stroke risk is not fully understood.
- Coronary computed tomography (CT) can assess coronary artery calcification (CAC), aortic valve calcification (AVC), and aortic root calcification (ARC).
Purpose of the Study:
- To evaluate the association between CAC, AVC, and ARC with stroke incidence in patients with suspected coronary artery disease (CAD).
- To determine if cardiovascular calcifications improve stroke risk prediction models.
Main Methods:
- A multicenter prospective cohort study enrolled 1187 patients undergoing coronary CT.
- Cardiovascular events, including stroke, were tracked over a median follow-up of 4.0 years.
- Cox proportional hazard models and C statistics were used to assess the relationship between calcifications and stroke incidence, adjusted for the Framingham risk score.
Main Results:
- Severe CAC (Agatston score ≥ 90th percentile), and the presence of AVC and ARC were significantly associated with increased stroke incidence.
- The model incorporating CAC and AVC severity showed a superior C statistic (0.841) for stroke prediction compared to CAC alone (0.762).
Conclusions:
- Coronary artery calcification (CAC), aortic valve calcification (AVC), and aortic root calcification (ARC) are associated with stroke incidence in patients with suspected CAD.
- Combined assessment of CAC and AVC severity may enhance the prediction of stroke incidence.
Abstract:
The utility of assessment of cardiovascular calcifications for predicting stroke incidence remains unclear. This study assessed the relationship between cardiovascular calcifications including coronary artery calcification (CAC), aortic valve (AVC), and aortic root (ARC) assessed by coronary computed tomography (CT) and stroke incidence in patients with suspected CAD. In this multicenter prospective cohort study, 1187 patients suspected of CAD who underwent coronary CT were enrolled. Cardiovascular events including stroke were documented. Hazard ratio (HR) and confidence interval (CI) were assessed by Cox proportional hazard model adjusted for the Framingham risk score. C statistics for stroke incidence were also examined by models including cardiovascular calcifications. A total of 980 patients (mean age, 65 ± 7 years; females, 45.8%) were assessed by the CAC, AVC, and ARC Agatston scores. During a median follow-up of 4.0 years, 19 patients developed stroke. Cox proportional hazard model showed severe CAC (Agatston score ≥ 90th percentile [580.0 value]) and presence of AVC and ARC were associated with stroke incidence (HR; 10.33 [95% CI; 2.08-51.26], 3.08 [1.19-7.98], and 2.75 [1.03-7.30], respectively). C statistic in the model with CAC and AVC severity for predicting stroke incidence was 0.841 (95% CI; 0.761-0.920), which was superior to the model with CAC alone (0.762 [95% CI; 0.665-0.859], P < 0.01). CAC, AVC, and ARC were associated with stroke incidence in patients suspected of CAD. Assessment of both CAC and AVC may be useful for prediction of stroke incidence.
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