Prediction of atherosclerotic disease progression using LDL transport modelling: a serial computed tomographic coronary angiographic study-Reference-Cited by-同舟云学术

Prediction of atherosclerotic disease progression using LDL transport modelling: a serial computed tomographic coronary angiographic study

Published:2016-03-16 Issue:1 Volume:18 Page:11-18
ISSN:2047-2404
Container-title:European Heart Journal – Cardiovascular Imaging
language:en
Short-container-title:Eur Heart J Cardiovasc Imaging

Author:

Sakellarios Antonis,Bourantas Christos V.,Papadopoulou Stella-Lida,Tsirka Zeta,de Vries Ton,Kitslaar Pieter H.,Girasis Chrysafios,Naka Katerina K.,Fotiadis Dimitrios I.,Veldhof Susan,Stone Greg W.,Reiber Johan H.C.,Michalis Lampros K.,Serruys Patrick W.,de Feyter Pim J.,Garcia-Garcia Hector M.

Publisher

Oxford University Press (OUP)

Subject

Cardiology and Cardiovascular Medicine,Radiology, Nuclear Medicine and imaging,General Medicine

Reference27 articles.

1. Prediction of Progression of Coronary Artery Disease and Clinical Outcomes Using Vascular Profiling of Endothelial Shear Stress and Arterial Plaque Characteristics

2. Coronary Artery Wall Shear Stress Is Associated With Progression and Transformation of Atherosclerotic Plaque and Arterial Remodeling in Patients With Coronary Artery Disease

3. Fluid Mechanics, Arterial Disease, and Gene Expression

4. Patient-specific computational modeling of subendothelial LDL accumulation in a stenosed right coronary artery: effect of hemodynamic and biological factors

5. Computational Modeling of LDL and Albumin Transport in an In Vivo CT Image-Based Human Right Coronary Artery

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