Combined non-invasive assessment of endothelial shear stress and molecular imaging of inflammation for the prediction of inflamed plaque in hyperlipidaemic rabbit aortas
| Autor: | Gitsioudis, Gitsios, Chatzizisis, Yiannis S, Wolf, Peter, Missiou, Anna, Antoniadis, Antonios P, Mitsouras, Dimitrios, Bartling, Sönke, Arica, Zeynep, Stuber, Matthias, Rybicki, Frank J, Nunninger, Max, Erbel, Christian, Libby, Peter, Giannoglou, George D, Katus, Hugo A, Korosoglou, Grigorios |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Male
Computed Tomography Angiography Biopsy Hyperlipidemias Bioengineering Cardiorespiratory Medicine and Haematology Sensitivity and Specificity Random Allocation Predictive Value of Tests Vascular Needle Confidence Intervals Animals magnetic resonance imaging endothelial shear stress Endothelium Aorta Ultrasonography Plaque Atherosclerotic Inflammation Observer Variation Interventional Animal Reproducibility of Results molecular imaging Atherosclerosis Immunohistochemistry ROC Curve Cardiovascular System & Hematology Disease Models Disease Progression Linear Models hyperlipidaemic rabbits Biomedical Imaging Rabbits Shear Strength |
| Zdroj: | European heart journal. Cardiovascular Imaging, vol 18, iss 1 |
| Popis: | AimsTo 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.Methods and resultsTwelve 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).ConclusionLow 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|