scholarly journals Relationship Between Ox–LDL, Immune Cells, Atheroma Dimensions and Angiographic Measurements Assessed by Coronary Angiography and Intravascular Ultrasound

10.5772/54084 ◽  
2013 ◽  
Author(s):  
Catarina Ramos ◽  
Patricia Napoleao ◽  
Rui Cruz ◽  
Cristina Fondinho ◽  
Mafalda Selas ◽  
...  
Keyword(s):  
Coronary Angiography ◽  
Intravascular Ultrasound ◽  
Immune Cells

Choice of Intracoronary Imaging: When to Use Intravascular Ultrasound or Optical Coherence Tomography

2016 ◽  
Vol 11 (1) ◽  
pp. 11
Author(s):  
Sudheer Koganti ◽  
◽  
◽  
◽  
Tushar Kotecha ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Coronary Angiography ◽  
Intravascular Ultrasound ◽  
Coronary Stenosis ◽  
Coronary Intervention ◽  
Vessel Diameter ◽  
Drug Eluting Stent ◽  
Optical Coherence ◽  
Disease Extent ◽  
Intracoronary Imaging

Intracoronary imaging has the capability of accurately measuring vessel and stenosis dimensions, assessing vessel integrity, characterising lesion morphology and guiding optimal percutaneous coronary intervention (PCI). Coronary angiography used to detect and assess coronary stenosis severity has limitations. The 2D nature of fluoroscopic imaging provides lumen profile only and the assessment of coronary stenosis by visual estimation is subjective and prone to error. Performing PCI based on coronary angiography alone is inadequate for determining key metrics of the vessel such as dimension, extent of disease, and plaque distribution and composition. The advent of intracoronary imaging has offset the limitations of angiography and has shifted the paradigm to allow a detailed, objective appreciation of disease extent and morphology, vessel diameter, stent size and deployment and healing after PCI. It has become an essential tool in complex PCI, including rotational atherectomy, in follow-up of novel drug-eluting stent platforms and understanding the pathophysiology of stent failure after PCI (e.g. following stent thrombosis or in-stent restenosis). In this review we look at the two currently available and commonly used intracoronary imaging tools – intravascular ultrasound and optical coherence tomography – and the merits of each.

Correlation between dual-axis rotational coronary angiography and intravascular ultrasound in a coronary lesion assessment

2016 ◽  
Vol 33 (2) ◽  
pp. 153-160 ◽  
Author(s):  
Zhi-geng Jin ◽  
Zhuo-qi Zhang ◽  
Li-min Jing ◽  
Yu-jie Wei ◽  
Jiao Zhang ◽  
...  
Keyword(s):  
Coronary Angiography ◽  
Intravascular Ultrasound ◽  
Coronary Lesion

P869Predictive value of the endothelial shear stress distribution in three-dimensional quantitative coronary angiography models in detecting vulnerable plaques

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
T Zanchin ◽  
C Bourantas ◽  
R Torii ◽  
P W S Serruys ◽  
A Karagiannis ◽  
...  
Keyword(s):  
Shear Stress ◽  
High Risk ◽  
Coronary Angiography ◽  
Intravascular Ultrasound ◽  
Three Dimensional ◽  
Quantitative Coronary Angiography ◽  
Low Risk ◽  
Plaque Burden ◽  
Vulnerable Plaques ◽  
Endothelial Shear Stress

Abstract Background Low Endothelial shear stress (ESS) is a well-known instigator of coronary atherosclerosis. Prospective intravascular ultrasound (IVUS)-based imaging studies with computational fluid dynamic analysis revealed its predictive merit in-vivo. However, whether coronary modelling derived from quantitative coronary angiography (QCA) is equally effective in detecting high-risk plaques remains to be established. Purpose To examine the value of endothelial shear stress (ESS) estimated in three-dimensional (3D) QCA models in detecting plaques that are likely to progress and cause events. Method We analysed the baseline intravascular ultrasound virtual histology (IVUS-VH) and angiographic data from 28 non-culprit lesions with a vulnerable phenotype (i.e., fibroatheroma or thin cap fibroatheroma) that caused major adverse cardiac events or required revascularization (nc-MACE-R) at 5-year follow-up and from a control group of 119 vulnerable plaques that remained quiescent. The segments studied by IVUS-VH at baseline were reconstructed using 3D-QCA software and in the obtained geometries blood flow simulation was performed and we estimated the resting Pd/Pa across the vulnerable plaque and the mean ESS values in 3mm sub-segments. A propensity score was built by the baseline plaque characteristics and the hemodynamic indices and its efficacy in detecting nc-MACE-R lesions was examined. Results Nc-MACE-R lesions were longer (32.5mm [18.0, 41.6], vs. 19.6mm [12.7, 31.3], p=0.03), had smaller minimum lumen area (MLA) (3.65mm2 [3.26, 4.36] vs. 5.03mm2 [3.98, 6.66], p<0.01), increased plaque burden (PB) (69.4% [63.5, 72.0] vs. 60.8% [53.7, 66.5], p<0.01), were exposed to higher ESS (9.40Pa [6.3, 12.5] vs. 4.1Pa [3.0, 6.9], p<0.01), and exhibited a lower resting Pd/Pa (0.97 [0.95, 0.98] vs. 0.98 [0.97, 0.99], p<0.01]. In multivariable analysis the only independent predictor of nc-MACE-R was the maximum 3mm ESS value (hazard ratio: 1.08 [1.02, 1.16], P=0.016). Lesions exposed to high ESS (>4.95Pa) with a high-risk anatomy (MLA<4mm2and PB>70%) had a higher nc-MACE-R rate (53.8%) than those with a low-risk anatomy exposed to high ESS (31.6%) or those exposed to low ESS that had high (20.0%) or low-risk anatomy (7.1%, P<0.001). Conclusion In the present study, 3D-QCA-derived local hemodynamic variables provided useful prognostic information and in combination with lesion anatomy enabled more accurate identification of nc-MACE-R lesions. Further research in a larger number of patients is need to confirm these findings before the conduction of large scale prospective studies that will combine intravascular imaging and 3D-QCA modelling to more accurately detect vulnerable plaques.

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