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J Cardiovasc Comput Tomogr. 2010 Sep-Oct;4(5):301-8. doi: 10.1016/j.jcct.2010.05.016. Epub 2010 Jun 8.

Ex vivo evaluation of coronary atherosclerotic plaques: characterization with dual-source CT in comparison with histopathology.

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  • 1Institute of Diagnostic Radiology, University Hospital Zurich, Raemistrasse 100, 8091 Zurich, Switzerland. sebastian.leschka@kssg.ch

Abstract

BACKGROUND:

Identification and differentiation of coronary atherosclerotic plaques may improve risk stratification for incident coronary events.

OBJECTIVE:

We investigated the ability of dual-source computed tomography (CT) to depict and characterize atherosclerotic coronary plaques.

METHODS:

Contrast-enhanced CT was performed in 25 human heart specimens with a total of 322 histologically determined plaques. Coronary plaques were classified on CT as (1) noncalcified, mixed, or calcified and (2) by CT attenuation values. Atherosclerotic plaques were histopathologically characterized according to the Stary classification.

RESULTS:

CT detected 79% (245/322) of all plaques. Lesions missed by CT were generally early lesions, type I (n = 31), type II (n = 38), or type III (n = 8), according to Stary. CT detected 29% of early (Stary I-III) and 100% of advanced (Stary IV-VIII) plaques. Plaque classification as noncalcified was sensitive (100%) and specific (72%) for early, whereas classification as mixed/calcified was sensitive (92%, 89%) and specific (100%) for advanced plaques. Calcified plaques on CT were detected with high sensitivity (80%) and specificity (95%). Other subtypes were not distinguishable with CT according to the presence or absence of calcification. CT density was significantly higher for advanced (306 ± 470 HU) than for early (42 ± 14 HU; P < 0.01) plaques. The mean CT density value of type VII plaques (512 ± 349 HU) was significantly higher than those of other plaques (34-101 HU; P < 0.001).

CONCLUSIONS:

CT reliably depicts advanced coronary plaques and allows for the differentiation between early and advanced plaques.

Copyright © 2010. Published by Elsevier Inc.

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PMID:
20947041
[PubMed - indexed for MEDLINE]
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