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- Title
Comparison of CT and CMR for detection and quantification of carotid artery calcification: the Rotterdam Study.
- Authors
Mujaj, Blerim; Arias Lorza, Andrés M.; van Engelen, Arna; de Bruijne, Marleen; Franco, Oscar H.; van der Lugt, Aad; Vernooij, Meike W.; Bos, Daniel
- Abstract
Background: Carotid artery atherosclerosis is an important risk factor for stroke. As such, quantitative imaging of carotid artery calcification, as a proxy of atherosclerosis, has become a cornerstone of current stroke research. Yet, population-based data comparing the computed tomography (CT) and cardiovascular magnetic resonance (CMR) for the detection and quantification of calcification remain scarce. Methods: A total of 684 participants from the population-based Rotterdam Study underwent both a CT and CMR of the carotid artery bifurcation to quantify the amount of carotid artery calcification (mean interscan interval: 4.9 ± 1.2 years). We investigated the correlation between the amount of calcification measured on CT and CMR using Spearman's correlation coefficient, Bland-Altman plots, and linear regression. In addition, using logistic regression modeling, we assessed the association of CT and CMR based calcification volumes with a history of stroke. Results: We found a strong correlation between CT and CMR based calcification volumes (Spearman's correlation coefficient:0.86, p-value ≤0.01). Bland-Altman analyses showed a good agreement, though CT based calcification volumes were systematically larger. Finally, calcification volume assessed with either imaging modality was associated with a history of stroke with similar effect estimates (odds ratio (OR) per 1-SD increase in calcification volume: 1.52 (95% CI:1.00;2.30) for CT, and 1.47 (95% CI:1.01;2.14) for CMR. Conclusion: CT based and CMR based volumes of carotid artery calcification are highly correlated, but CMR based calcification is systematically smaller than those obtained with CT. Despite this difference, both provide comparable information with regard to a history of stroke.
- Subjects
NETHERLANDS; STROKE risk factors; ACADEMIC medical centers; ATHEROSCLEROSIS; CAROTID artery diseases; COMPUTED tomography; CONFIDENCE intervals; MAGNETIC resonance imaging; PROBABILITY theory; REGRESSION analysis; RESEARCH funding; STATISTICS; LOGISTIC regression analysis; DATA analysis; SEVERITY of illness index; DATA analysis software; DESCRIPTIVE statistics; CALCINOSIS; ODDS ratio; DIAGNOSIS
- Publication
Journal of Cardiovascular Magnetic Resonance (BioMed Central), 2017, Vol 19, p1
- ISSN
1532-429X
- Publication type
Article
- DOI
10.1186/s12968-017-0340-z