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dc.contributor.author Giannopoulos, Andreas A
dc.contributor.author Chatzizisis, Yiannis S
dc.contributor.author Maurovich-Horvat, Pál
dc.contributor.author Antoniadis, Antonios P
dc.contributor.author Hoffmann, Udo
dc.contributor.author Steigner, Michael L
dc.contributor.author Rybicki, Frank J
dc.contributor.author Mitsouras, Dimtirios
dc.date.accessioned 2016-09-06T06:43:47Z
dc.date.available 2016-09-06T06:43:47Z
dc.date.issued 2016
dc.identifier.citation pagination=213-218; journalVolume=251; journalTitle=ATHEROSCLEROSIS;
dc.identifier.uri http://repo.lib.semmelweis.hu//handle/123456789/3660
dc.identifier.uri doi:10.1016/j.atherosclerosis.2016.06.038
dc.description.abstract BACKGROUND AND AIMS: Low and high endothelial shear stress (ESS) is associated with coronary atherosclerosis progression and high-risk plaque features. Coronary ESS is currently assessed via computational fluid dynamic (CFD) simulation of coronary blood flow in the lumen geometry determined from invasive imaging such as intravascular ultrasound and optical coherence tomography. This process typically omits side branches of the target vessel in the CFD model as invasive imaging of those vessels is not usually clinically-indicated. The purpose of this study was to determine the extent to which this simplification affects the determination of those regions of the coronary endothelium subjected to pathologic ESS. METHODS: We determined the diagnostic accuracy of ESS profiling without side branches to detect pathologic ESS in the major coronary arteries of 5 hearts imaged ex vivo with computed tomography angiography (CTA). ESS of the three major coronary arteries was calculated both without (test model), and with (reference model) inclusion of all side branches >1.5 mm in diameter, using previously-validated CFD approaches. Diagnostic test characteristics (accuracy, sensitivity, specificity and negative and positive predictive value [NPV/PPV]) with respect to the reference model were assessed for both the entire length as well as only the proximal portion of each major coronary artery, where the majority of high-risk plaques occur. RESULTS: Using the model without side branches overall accuracy, sensitivity, specificity, NPV and PPV were 83.4%, 54.0%, 96%, 95.9% and 55.1%, respectively to detect low ESS, and 87.0%, 67.7%, 90.7%, 93.7% and 57.5%, respectively to detect high ESS. When considering only the proximal arteries, test characteristics differed for low and high ESS, with low sensitivity (67.7%) and high specificity (90.7%) to detect low ESS, and low sensitivity (44.7%) and high specificity (95.5%) to detect high ESS. CONCLUSIONS: The exclusion of side branches in ESS vascular profiling studies greatly reduces the ability to detect regions of the major coronary arteries subjected to pathologic ESS. Single-conduit models can in general only be used to rule out pathologic ESS.
dc.relation.ispartof urn:issn:0021-9150
dc.title Quantifying the effect of side branches in endothelial shear stress estimates
dc.type Journal Article
dc.date.updated 2016-09-05T10:26:35Z
dc.language.rfc3066 en
dc.identifier.mtmt 3090900
dc.identifier.pubmed 27372207
dc.contributor.department SE/AOK/K/VAROSMAJOR_SZÍVÉRGYÓGY/KARDI KZP_KARDIO-T/MTA-SE Lendület Kardiovaszkuláris Képalkotó Kutatócsoport
dc.contributor.institution Semmelweis Egyetem


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