| 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. | |
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MedLine Citation:
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PMID: 21131252 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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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. |
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Authors:
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Sarah Rinehart; Gustavo Vazquez; Zhen Qian; Laura Murrieta; Kim Christian; Szilard Voros |
Publication Detail:
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Type: Journal Article Date: 2010-10-01 |
Journal Detail:
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Title: Journal of cardiovascular computed tomography Volume: 5 ISSN: 1876-861X ISO Abbreviation: J Cardiovasc Comput Tomogr Publication Date: 2011 Jan-Feb |
Date Detail:
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Created Date: 2011-02-14 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101308347 Medline TA: J Cardiovasc Comput Tomogr Country: United States |
Other Details:
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Languages: eng Pagination: 35-43 Citation Subset: IM |
Copyright Information:
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Copyright © 2011 Society of Cardiovascular Computed Tomography. Published by Elsevier Inc. All rights reserved. |
Affiliation:
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Piedmont Heart Institute, 1968 Peachtree Road, NW, Atlanta, GA 30309, USA. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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