Numerical Simulation of Coronary Artery Stenosis Before and After Stenting

Li, Gang; Hu, Rui; Gao, Feng

doi:10.1007/s40846-015-0058-z

Cited by 6 publications

(3 citation statements)

References 24 publications

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“…Hitherto, most of the hemodynamics studies have used computational fluid dynamics (CFD) techniques to better understand the various hemodynamic descriptors by considering blood as a single-phase Newtonian (He and Ku 1996;Berthier et al 2002;Zeng et al 2003;Hoi et al 2004;Hasan and Das 2008;Aayani et al 2016;Mesri et al 2017) and non-Newtonian fluid (Gijsen et al 1999;Steinman 2002;Razavi et al 2011;Li et al 2015;Yan et al 2017). However, the blood is intrinsically a suspension of RBCs, WBCs, platelets and other lipoproteins in blood plasma.…”

Section: Introductionmentioning

confidence: 99%

Effect of Stenosis Severity on Wall Shear Stress Based Hemodynamic Descriptors using Multiphase Mixture Theory

Buradi

Mahalingam

2018

JAFM

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A variety of wall shear stress (WSS) based hemodynamic descriptors have been defined over the years to study hemodynamic flow instabilities as potential indicators or prognosticators of endothelial wall dysfunction. Generally, these hemodynamic indicators have been calculated numerically using 'single phase' approach. In single phase models, the flow-dependent cell interactions and their transport are usually neglected by treating blood as a single phase non-Newtonian fluid. In the present investigation, a multiphase mixture-theory model is used to define the motion of red blood cells (RBCs) in blood plasma and interactions between these two-components. The multiphase mixture theory model exhibited good agreement with the experimental results and performed better than non-Newtonian single phase model. The mixture-theory model is then applied to simulate pulsatile blood flow through four idealized coronary artery models having different degrees of stenosis (DOS) severities viz., 30, 50, 70 and 85% diameter reduction stenosis. The maximum WSS is seen at the stenosis throat in all the cases and maximum oscillatory shear index (OSI) is seen in downstream region of the stenosis. Our findings suggest that for degree of coronary stenosis more than 50%, a more disturbed fluid dynamics is observed downstream of stenosis. This could lead to further progression of stenosis and may promote a higher risk of atherogenesis and plaque buildup in the flow-disturbed area. The potential atherosclerotic lesion sites were identified based on clinically relevant values of WSS, timeaveraged WSS gradient (TAWSSG), time-averaged WSS (TAWSS), and OSI. Finally, the change in potential atherosclerotic lesion sites with respect to DOS has been quantified.

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Section: Introductionmentioning

confidence: 99%

Effect of Stenosis Severity on Wall Shear Stress Based Hemodynamic Descriptors using Multiphase Mixture Theory

Buradi

Mahalingam

2018

JAFM

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“…Blood ow in a healthy right coronary artery (RCA) has a Reynolds number of about 200 in resting conditions [12]. The corresponding laminar pro le is distorted into a jet ow pro le when the RCA lumen decreases in diameter [13,14]. Under these new conditions of higher speeds in the RCA some authors have resorted to the Large Eddy Simulation (LES) [4] and Reynolds Averaged Navier Stokes (RANS) equations [13].…”

Section: Introductionmentioning

confidence: 99%

Computational Simulation of Blood Flow in the Right Coronary Artery and its Interaction Between the Blood Flow and the Arterial Wall

Chinè,

Campos,

Granados

2023

Preprint

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Flow through a heart artery is modeled using computational fluid dynamics with and without a more detailed fluid-solid interaction model. The study describes the interactions between the blood flow and the arterial wall. Blood rheological properties are modeled using the Bird-Carreau model under steady state conditions. The flow path is comprised by the right coronary artery and two branches (bifurcations) namely the acute marginal and the posterior descending sections. Inlet velocity values of a typical cardiac cycle are used in the model. The differences between the solutions from the FSI model and the CFD model were determined by comparing the wall shear stress and the first principal stress. Wall shear stresses and first principal stresses for four separate times (0.05, 0.14, 0.44 and 0.96 s) are reported. At 0.14 s and at 0.96 s, the values of the WSS maximum are greater than those previously computed using FSI by 10.8 Pa and 7.5 Pa. Similarly at 0.44 s, significant differences were obtained in the WSS distributions between both solutions. The highest magnitudes of first principal stresses were of 552 kPa in the bifurcation of the PDA at a time of 0.44 s.

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“…Hemodynamic flow patterns inside the aneurysm and along parent arteries [12] provide important information concerning the growth, rupture risks and prediction of clinical outcome [2,[13][14][15], and hence have been studied intensively. Numerical simulations of the blood flow patterns inside the circulation system employing Computational Fluid Dynamics (CFD) has been widely used [16]. Aneurysm hemodynamics and post-treatment conditions have been simulated and studied [17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

A Computational Hemodynamics Analysis on the Correlation Between Energy Loss and Clinical Outcomes for Flow Diverters Treatment of Intracranial Aneurysm

et al. 2018

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Rupture of intracranial aneurysms might lead to permanent disability or even death. One possible endovascular treatment is to deploy flow diverters (FDs), reducing flow into the sac and promoting thrombosis. Computational fluid dynamics simulations were used to assess the flow patterns and dynamics. The concept of energy loss, as a measure of work done necessary to overcome flow resistance, will be utilized to correlate with clinical outcome. If a surgical operation is successful, the flow is diverted to a shorter path and energy loss should be reduced. Conversely, persistent flow in the sac associated with treatment failure will display increased energy loss, as blood is then squeezed through the stent pores. Four illustrative clinical cases, involving both bifurcation and sidewall aneurysms, were selected. To reduce the numerical complexity, earlier works in the literature had employed a porous medium approximation for the FDs. Here the FD was simulated explicitly as a virtual (or computer generated) stent which would likely provide a more accurate description. Furthermore, quantitative comparisons between the approaches of virtual stent and porous medium with typical parameters were conducted by examining the effective flow influx into the aneurysm.

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Numerical Simulation of Coronary Artery Stenosis Before and After Stenting

Cited by 6 publications

References 24 publications

Effect of Stenosis Severity on Wall Shear Stress Based Hemodynamic Descriptors using Multiphase Mixture Theory

Effect of Stenosis Severity on Wall Shear Stress Based Hemodynamic Descriptors using Multiphase Mixture Theory

Computational Simulation of Blood Flow in the Right Coronary Artery and its Interaction Between the Blood Flow and the Arterial Wall

A Computational Hemodynamics Analysis on the Correlation Between Energy Loss and Clinical Outcomes for Flow Diverters Treatment of Intracranial Aneurysm

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