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000120428 0247_ $$2doi$$a10.1093/ehjci/jew048
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000120428 037__ $$aDKFZ-2017-00857
000120428 041__ $$aeng
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000120428 1001_ $$aGitsioudis, Gitsios$$b0
000120428 245__ $$aCombined non-invasive assessment of endothelial shear stress and molecular imaging of inflammation for the prediction of inflamed plaque in hyperlipidaemic rabbit aortas.
000120428 260__ $$aOxford$$bOxford University Press$$c2017
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000120428 520__ $$aTo evaluate the incremental value of low endothelial shear stress (ESS) combined with high-resolution magnetic resonance imaging (MRI)- and computed tomography angiography (CTA)-based imaging for the prediction of inflamed plaque.Twelve hereditary hyperlipidaemic rabbits underwent quantitative analysis of plaque in the thoracic aorta with 256-slice CTA and USPIO-enhanced (ultra-small superparamagnetic nanoparticles, P904) 1.5-T MRI at baseline and at 6-month follow-up. Computational fluid dynamics using CTA-based 3D reconstruction of thoracic aortas identified the ESS patterns in the convex and concave curvature subsegments of interest. Subsegments with low baseline ESS exhibited significant increase in wall thickness and plaque inflammation by MRI, in non-calcified plaque burden by CTA, and developed increased plaque size, lipid and inflammatory cell accumulation (high-risk plaque features) at follow-up by histopathology. Multiple regression analysis identified baseline ESS and inflammation by MRI to be independent predictors of plaque progression, while receiver operating curve analysis revealed baseline ESS alone or in combination with inflammation by MRI as the strongest predictor for augmented plaque burden and inflammation (low ESS at baseline: AUC = 0.84, P < 0.001; low ESS and inflammation by molecular MRI at baseline: AUC = 0.89, P < 0.001).Low ESS predicts progression of plaque burden and inflammation as assessed by non-invasive USPIO-enhanced MRI. Combined non-invasive assessment of ESS and imaging of inflammation may serve to predict plaque with high-risk features.
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000120428 7001_ $$aChatzizisis, Yiannis S$$b1
000120428 7001_ $$aWolf, Peter$$b2
000120428 7001_ $$aMissiou, Anna$$b3
000120428 7001_ $$aAntoniadis, Antonios P$$b4
000120428 7001_ $$aMitsouras, Dimitrios$$b5
000120428 7001_ $$0P:(DE-He78)74dc160c546ee8db6ab11172ee827630$$aBartling, Sönke$$b6$$udkfz
000120428 7001_ $$aArica, Zeynep$$b7
000120428 7001_ $$aStuber, Matthias$$b8
000120428 7001_ $$aRybicki, Frank J$$b9
000120428 7001_ $$aNunninger, Max$$b10
000120428 7001_ $$aErbel, Christian$$b11
000120428 7001_ $$aLibby, Peter$$b12
000120428 7001_ $$aGiannoglou, George D$$b13
000120428 7001_ $$aKatus, Hugo A$$b14
000120428 7001_ $$aKorosoglou, Grigorios$$b15
000120428 773__ $$0PERI:(DE-600)2647943-6$$a10.1093/ehjci/jew048$$gVol. 18, no. 1, p. 19 - 30$$n1$$p19 - 30$$tEuropean heart journal - cardiovascular imaging$$v18$$x2047-2412$$y2017
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000120428 9141_ $$y2017
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