A review study on blood in human coronary artery: Numerical approach

Computational fluid dynamics (CFD) study of blood flow in human coronary artery is one of the emerging fields of Biomed- ical engineering. In present review paper, Finite Volume Method with governing equations and boundary conditions are briefly discussed for different coronary models. Many researchers have come up with astonishing results related to the various factors (blood viscosity, rate of blood flow, shear stress on the arterial wall, Reynolds number, etc.) affecting the hemodynamic of blood in the right/left coronary artery. The aim of this paper is to present an overview of all those work done by the researchers to justify their work related to factors which hampers proper functioning of heart and lead to Coronary Artery Disease (CAD). Governing equations like Navier-stokes equations, continuity equations etc. are widely used and are solved using CFD solver to get a clearer view of coronary artery blockage. Different boundary conditions and blood properties published in the last ten years are summarized in the tabulated form. This table will help new researchers to work on this area.

[1]  F. Mebarek-Oudina,et al.  Numerical modeling of the hydrodynamic stability in vertical annulus with heat source of different lengths , 2017 .

[2]  Habib Samady,et al.  Association of Coronary Wall Shear Stress With Atherosclerotic Plaque Burden, Composition, and Distribution in Patients With Coronary Artery Disease , 2012, Journal of the American Heart Association.

[3]  D. Berman,et al.  Inducible myocardial ischemia and outcomes in patients with coronary artery disease and left ventricular dysfunction. , 2013, Journal of the American College of Cardiology.

[4]  Wouter Huberts,et al.  What is needed to make cardiovascular models suitable for clinical decision support? A viewpoint paper , 2017, J. Comput. Sci..

[5]  F. Sen,et al.  High-performance graphite-supported ruthenium nanocatalyst for hydrogen evolution reaction , 2018, Journal of Molecular Liquids.

[6]  M L Bots,et al.  Carotid Plaques Increase the Risk of Stroke and Subtypes of Cerebral Infarction in Asymptomatic Elderly: The Rotterdam Study , 2002, Circulation.

[7]  Shmuel Einav,et al.  Numerical modeling of the flow in stenosed coronary artery. The relationship between main hemodynamic parameters , 2002, Comput. Biol. Medicine.

[8]  F. Sen,et al.  Highly efficient polymer supported monodisperse ruthenium-nickel nanocomposites for dehydrocoupling of dimethylamine borane. , 2018, Journal of colloid and interface science.

[9]  Young Woo Kim,et al.  Considerations of Blood Properties, Outlet Boundary Conditions and Energy Loss Approaches in Computational Fluid Dynamics Modeling , 2014, Neurointervention.

[10]  F. N. van de Vosse,et al.  The influence of boundary conditions on wall shear stress distribution in patients specific coronary trees. , 2011, Journal of biomechanics.

[11]  S. Bahrami,et al.  A numerical study on hemodynamics in the left coronary bifurcation with normal and hypertension conditions , 2018, Biomechanics and Modeling in Mechanobiology.

[12]  Barbara M. Johnston,et al.  Non-Newtonian blood flow in human right coronary arteries: steady state simulations. , 2004, Journal of biomechanics.

[13]  Michael Mcelroy,et al.  Left Ventricular Assist Devices: Impact of Flow Ratios on the Localisation of Cardiovascular Diseases Using Computational Fluid Dynamics☆ , 2016 .

[14]  Charles A. Taylor,et al.  Noninvasive Fractional Flow Reserve Derived From Coronary CT Angiography: Clinical Data and Scientific Principles. , 2015, JACC. Cardiovascular imaging.

[15]  Jiyuan Tu,et al.  Modeling of non-Newtonian blood flow through a stenosed artery incorporating fluid-structure interaction , 2007 .

[16]  Vartan Kurtcuoglu,et al.  Computed high concentrations of low-density lipoprotein correlate with plaque locations in human coronary arteries. , 2011, Journal of biomechanics.

[17]  C. Kȩpka,et al.  Coronary CTA enhanced with CTA based FFR analysis provides higher diagnostic value than invasive coronary angiography in patients with intermediate coronary stenosis. , 2019, Journal of cardiovascular computed tomography.

[18]  Jamil Mayet,et al.  Use of simultaneous pressure and velocity measurements to estimate arterial wave speed at a single site in humans. , 2006, American journal of physiology. Heart and circulatory physiology.

[19]  Charles A. Taylor,et al.  Coronary Artery Axial Plaque Stress and its Relationship With Lesion Geometry: Application of Computational Fluid Dynamics to Coronary CT Angiography. , 2015, JACC. Cardiovascular imaging.

[20]  Luca Mainardi,et al.  A framework for computational fluid dynamic analyses of patient-specific stented coronary arteries from optical coherence tomography images. , 2017, Medical engineering & physics.

[21]  F. Sen,et al.  Enhanced electrocatalytic activity and durability of highly monodisperse Pt@PPy–PANI nanocomposites as a novel catalyst for the electro-oxidation of methanol , 2016 .

[22]  Jan Vierendeels,et al.  Patient-specific CFD models for intraventricular flow analysis from 3D ultrasound imaging: Comparison of three clinical cases. , 2017, Journal of biomechanics.

[23]  Charles A. Taylor,et al.  Computational fluid dynamics applied to cardiac computed tomography for noninvasive quantification of fractional flow reserve: scientific basis. , 2013, Journal of the American College of Cardiology.

[24]  Charles A. Taylor,et al.  Patient-Specific Modeling of Blood Flow and Pressure in Human Coronary Arteries , 2010, Annals of Biomedical Engineering.

[25]  Michael C. McDaniel,et al.  Coronary Artery Wall Shear Stress Is Associated With Progression and Transformation of Atherosclerotic Plaque and Arterial Remodeling in Patients With Coronary Artery Disease , 2011, Circulation.

[26]  Gary S Mintz,et al.  Intravascular imaging of coronary calcification and its clinical implications. , 2015, JACC. Cardiovascular imaging.

[27]  S. Tabakova,et al.  Carreau model for oscillatory blood flow in a tube , 2014 .

[28]  Ahmed Hassanein,et al.  Hemodynamic Computation Using Multiphase Flow Dynamics in a Right Coronary Artery , 2006, Annals of Biomedical Engineering.

[29]  A. Abbas Nejad,et al.  Pulsatile flow of non-Newtonian blood fluid inside stenosed arteries: Investigating the effects of viscoelastic and elastic walls, arteriosclerosis, and polycythemia diseases , 2018, Comput. Methods Programs Biomed..

[30]  Xinzhou Xie,et al.  Functional assessment of coronary artery disease by intravascular ultrasound and computational fluid dynamics simulation. , 2014, Revista portuguesa de cardiologia : orgao oficial da Sociedade Portuguesa de Cardiologia = Portuguese journal of cardiology : an official journal of the Portuguese Society of Cardiology.

[31]  B. Jung,et al.  Investigation of hemodynamics in an in vitro system simulating left ventricular support through the right subclavian artery using 4-dimensional flow magnetic resonance imaging. , 2015, The Journal of thoracic and cardiovascular surgery.

[32]  Fergal J Boyle,et al.  A full-range, multi-variable, CFD-based methodology to identify abnormal near-wall hemodynamics in a stented coronary artery. , 2010, Biorheology.

[33]  R. Bouzerar,et al.  Blood flow patterns in an anatomically realistic coronary vessel: influence of three different reconstruction methods. , 2002, Journal of biomechanics.

[34]  B. Thomas,et al.  Blood Flow in Human Arterial System-A Review☆ , 2016 .

[35]  H. Howie Huang,et al.  Computational modeling of cardiac hemodynamics: Current status and future outlook , 2016, J. Comput. Phys..

[36]  Vartan Kurtcuoglu,et al.  Choosing the optimal wall shear parameter for the prediction of plaque location-A patient-specific computational study in human right coronary arteries. , 2010, Atherosclerosis.

[37]  J. Tarbell,et al.  Interaction between the Stress Phase Angle (SPA) and the Oscillatory Shear Index (OSI) Affects Endothelial Cell Gene Expression , 2016, PloS one.

[38]  Priya Ranjan,et al.  Modelling of Blood Flow in Stenosed Arteries , 2017 .

[39]  Fateh Mebarek-oudina,et al.  Convective heat transfer of Titania nanofluids of different base fluids in cylindrical annulus with discrete heat source , 2018, Heat Transfer-Asian Research.

[40]  David Frakes,et al.  Computer-Aided Patient-Specific Coronary Artery Graft Design Improvements Using CFD Coupled Shape Optimizer , 2010, Cardiovascular engineering and technology.

[41]  A. Karimi,et al.  Interaction of the blood components and plaque in a stenotic coronary artery , 2018 .

[42]  George D. Giannoglou,et al.  Flow parameters in normal left coronary artery tree. Implication to atherogenesis , 2007, Comput. Biol. Medicine.

[43]  A. Nagar,et al.  Mathematical Analysis of Carreau Fluid Model for Blood Flow In Tapered Constricted Arteries , 2018 .

[44]  Adélia Sequeira,et al.  A 3D non-Newtonian fluid-structure interaction model for blood flow in arteries , 2010, J. Comput. Appl. Math..

[45]  Z. Mimouni.  The Rheological Behavior of Human Blood—Comparison of Two Models , 2016 .

[46]  Marleen de Bruijne,et al.  High shear stress relates to intraplaque haemorrhage in asymptomatic carotid plaques. , 2016, Atherosclerosis.

[47]  N. S. Vlachos,et al.  Numerical modeling of simulated blood flow in idealized composite arterial coronary grafts: steady state simulations. , 2007, Journal of biomechanics.

[48]  D. Ku,et al.  Pulsatile flow in the human left coronary artery bifurcation: average conditions. , 1996, Journal of biomechanical engineering.

[49]  R. Pettigrew,et al.  Arterial Wall Stiffness and Atherogenesis in Human Coronaries , 2017 .

[50]  C. Putman,et al.  Aneurysm Rupture Following Treatment with Flow-Diverting Stents: Computational Hemodynamics Analysis of Treatment , 2010, American Journal of Neuroradiology.

[51]  C. Ross Ethier,et al.  Effects of Cardiac Motion on Right Coronary Artery Hemodynamics , 2003, Annals of Biomedical Engineering.

[52]  Ahmed Hassanein,et al.  Multiphase hemodynamic simulation of pulsatile flow in a coronary artery. , 2006, Journal of biomechanics.

[53]  Zhonghua Sun,et al.  Computational fluid dynamics analysis of the effect of simulated plaques in the left coronary artery: A preliminary study. , 2011 .

[54]  Silvia Schievano,et al.  Computational analyses and 3D printed models , 2017 .

[55]  N. Huang,et al.  A brief review of bio-tribology in cardiovascular devices , 2015 .

[56]  Paul M. Ridker,et al.  Novel risk factors for systemic atherosclerosis: a comparison of C-reactive protein, fibrinogen, homocysteine, lipoprotein(a), and standard cholesterol screening as predictors of peripheral arterial disease. , 2001 .

[57]  Mohammed G. Al-Azawy,et al.  Investigating the impact of non‐Newtonian blood models within a heart pump , 2017, International journal for numerical methods in biomedical engineering.

[58]  R. Bessaïh,et al.  Numerical simulation of natural convection heat transfer of copper-water nanofluid in a vertical cylindrical annulus with heat sources , 2019, Thermophysics and Aeromechanics.

[59]  Hadar Marom,et al.  Bifurcation lesions in the coronary arteries: early experience with a novel 3-dimensional imaging and quantitative analysis before and after stenting. , 2007, EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology.

[60]  Amanda Randles,et al.  Computational Fluid Dynamics and Additive Manufacturing to Diagnose and Treat Cardiovascular Disease. , 2017, Trends in biotechnology.

[61]  Panagiotis Neofytou,et al.  Comparison of blood rheological models in patient specific cardiovascular system simulations , 2017 .

[62]  C. R. Ethier,et al.  Factors Influencing Blood Flow Patterns in the Human Right Coronary Artery , 2001, Annals of Biomedical Engineering.

[63]  H. Garcia-Garcia,et al.  Functional Evaluation of Coronary Disease by CT Angiography. , 2015, JACC. Cardiovascular imaging.

[64]  G. Louridas,et al.  Wall shear stress in normal left coronary artery tree. , 2006, Journal of biomechanics.

[65]  H H Woo,et al.  Regarding “Aneurysm Rupture Following Treatment with Flow-Diverting Stents: Computational Hemodynamics Analysis of Treatment” , 2011, American Journal of Neuroradiology.

[66]  Siamak N. Doost,et al.  Heart blood flow simulation: a perspective review , 2016, Biomedical engineering online.

[67]  Michail I. Papafaklis,et al.  Intravascular hemodynamics and coronary artery disease: New insights and clinical implications. , 2016, Hellenic journal of cardiology : HJC = Hellenike kardiologike epitheorese.