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Fully automated derivation of coronary artery calcium scores and cardiovascular risk assessment from contrast medium-enhanced coronary CT angiography studies.
- Source :
-
European radiology [Eur Radiol] 2013 Mar; Vol. 23 (3), pp. 650-7. Date of Electronic Publication: 2012 Sep 16. - Publication Year :
- 2013
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Abstract
- Objectives: Performance evaluation of a fully automated system for calculating computed tomography (CT) coronary artery calcium scores from contrast medium-enhanced coronary CT angiography (cCTA) studies.<br />Methods: One hundred and twenty-seven patients (58 ± 11 years, 71 men) who had undergone cCTA as well as an unenhanced CT calcium scoring study where included. Calcium scores were computed from cCTA by an automated image processing algorithm and compared with calcium scores obtained by standard manual assessment of unenhanced CT calcium scoring studies. Results were compared vis-a-vis (1) absolute calcium score values, (2) age-, gender- and race-dependent percentiles, and (3) commonly used calcium score risk classification categories.<br />Results: One hundred and nineteen out of 127 (93.7%) studies were successfully processed. Mean Agatston calcium score values obtained by traditional non-contrast CT calcium scoring studies and derived from contrast medium-enhanced cCTA did not significantly differ (235.6 ± 430.5 vs 262.0 ± 499.5; P > 0.05). Calcium score risk categories and Multi-Ethnic Study of Atherosclerosis (MESA) percentiles showed very high correlation (Spearman rank correlation coefficient = 0.97, P < 0.0001/0.95, P < 0.0001) between the two approaches.<br />Conclusions: Calcium score values automatically computed from cCTA are highly correlated with standard unenhanced CT calcium scoring studies. These results suggest a radiation dose- and time-saving potential when deriving calcium scores from cCTA studies without a preceding unenhanced CT calcium scoring study.
- Subjects :
- Calcinosis complications
Contrast Media
Coronary Artery Disease etiology
Female
Humans
Male
Middle Aged
Radiographic Image Enhancement methods
Reproducibility of Results
Risk Factors
Sensitivity and Specificity
Algorithms
Calcinosis diagnostic imaging
Coronary Angiography methods
Coronary Artery Disease diagnostic imaging
Iohexol analogs & derivatives
Radiographic Image Interpretation, Computer-Assisted methods
Tomography, X-Ray Computed methods
Subjects
Details
- Language :
- English
- ISSN :
- 1432-1084
- Volume :
- 23
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- European radiology
- Publication Type :
- Academic Journal
- Accession number :
- 22983281
- Full Text :
- https://doi.org/10.1007/s00330-012-2652-6