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Quantitative measurements of coronary arterial stenosis, plaque geometry, and composition are highly reproducible with a standardized coronary arterial computed tomographic approach in high-quality CT datasets.
MedLine Citation:
PMID:  21131252     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
BACKGROUND: Computed tomographic (CT) coronary angiography provides a noninvasive method for coronary plaque detection and quantification, but data are limited on reproducibility of a quantitative evaluation.
METHODS: Intrarater and interrater reliability of a semiquantitative and highly standardized, fully quantitative approach was evaluated in 480 coronary segments in 30 patients. Quantitative vessel-wall and plaque geometrical parameters (minimal lumen diameter [MLD], minimal lumen area [MLA], percentage of atheroma volume [PAV], and remodeling index [RI]) and compositional parameters (calcified plaque volume [CAP] and % of CAP [%CAP], noncalcified plaque [NCP] and % of NCP [%NCP], high-density NCP volume [HD-NCP] and % of HD-NCP [%HD-NCP] and low-density NCP volume [LD-NCP] and % of LD-NCP [%LD-NCP]) were measured. Semiquantitative agreement was evaluated by weighted κ; quantitative agreement was evaluated by concordance correlation coefficient (CCC) and Bland-Altman analysis.
RESULTS: Intraobserver agreement for MLD, MLA, and RI was excellent (CCC: 0.96, 0.96, and 0.84, respectively). Intraobserver agreement for %CAP, %HD-NCP, and %LD-NCP was also excellent (CCC: 0.99, 0.98,and 0.96, respectively). Interobserver agreement for MLD, MLA, PAV and RI was excellent (CCC: 0.98, 0.99, 0.96,and 0.86, respectively). Interobserver agreement for %CAP, % NCP, %HD-NCP, and %LD-NCP was also excellent (CCC: 0.99, 0.99, 0.98,and 0.90, respectively), and mean differences were small. Quantitative analysis showed statistically significant differences in both geometrical and compositional parameters between normal segments and those with plaque.
CONCLUSIONS: Standardized, quantitative analysis of coronary CTA datasets is reproducible for the measurement of plaque geometrical and compositional parameters and can quantify differences between normal and abnormal segments in high-quality datasets.
Authors:
Sarah Rinehart; Gustavo Vazquez; Zhen Qian; Laura Murrieta; Kim Christian; Szilard Voros
Publication Detail:
Type:  Journal Article     Date:  2010-10-01
Journal Detail:
Title:  Journal of cardiovascular computed tomography     Volume:  5     ISSN:  1876-861X     ISO Abbreviation:  J Cardiovasc Comput Tomogr     Publication Date:    2011 Jan-Feb
Date Detail:
Created Date:  2011-02-14     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101308347     Medline TA:  J Cardiovasc Comput Tomogr     Country:  United States    
Other Details:
Languages:  eng     Pagination:  35-43     Citation Subset:  IM    
Copyright Information:
Copyright © 2011 Society of Cardiovascular Computed Tomography. Published by Elsevier Inc. All rights reserved.
Affiliation:
Piedmont Heart Institute, 1968 Peachtree Road, NW, Atlanta, GA 30309, USA.
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