Numerical Evaluation on Blood Rheological Behavior in a Realistic Model of Aneurysmal Coronary Artery

Document Type : Research Article

Authors

Department of Mechanical Engineering, Razi University, Kermanshah, Iran

Abstract

The aim of this study is to evaluate the blood rheological behavior within a coronary artery aneurysm in detail. The three-dimensional model was reconstructed from computed tomography angiography images of a 43-year-old man with a coronary artery aneurysm on the bifurcation. First, the effects of blood dynamic viscosity on the hemodynamic characteristics in the aneurysmal coronary artery were studied. Then, a comparison between Newtonian and non-Newtonian viscosity models was carried out using four non-Newtonian blood models, namely the Carreau, Modified Casson, Cross, and Carreau-Yasuda models. The results have been presented in the form of velocity contours, streamlines, pressure drop variation, wall shear stress, and oscillatory shear index. The outcomes showed that a 20% change in the Newtonian blood viscosity leads to almost up to 12% alters in the aneurysm wall shear stress and nearly 15-18% changes in the value of the other sections. The decrement of the blood viscosity declines the aneurysm rupture risk by reducing blood pressure and wall shear stress. Additionally, among studied viscosity models, the Modified Casson model predicts the highest value of average wall shear stress in all parts except for the aneurysm, whereas, the highest value in the aneurysm is related to the Carreau model, close to 5.3% greater than the Modified Casson. Moreover, the average wall shear stress in the Newtonian state is the lowest in comparison with non-Newtonian models.

Keywords

Main Subjects


[1] G.A. Roth, C. Johnson, A. Abajobir, F. Abd-Allah, S.F. Abera, G. Abyu, M. Ahmed, B. Aksut, T. Alam, K. Alam, Global, regional, and national burden of cardiovascular diseases for 10 causes, 1990 to 2015, Journal of the American College of Cardiology, 70(1) (2017) 1-25.
[2] C. Jin, B. Mao, B. Li, Y. Feng, D. Wu, J. Xie, Y. Liu, Hemodynamic Study Of Coronary Artery Aneurysms, Journal of Mechanics in Medicine and Biology, 20(03) (2020) 2050012.
[3] J.B. Gordon, A.M. Kahn, J.C. Burns, When children with Kawasaki disease grow up: Myocardial and vascular complications in adulthood, Journal of the American College of Cardiology, 54(21) (2009) 1911-1920.
[4] Y. Kuramochi, T. Ohkubo, N. Takechi, D. Fukumi, Y. Uchikoba, S. Ogawa, Hemodynamic factors of thrombus formation in coronary aneurysms associated with Kawasaki disease, Pediatrics International, 42(5) (2000) 470-475.
[5] T. Fan, Z. Zhou, W. Fang, W. Wang, L. Xu, Y. Huo, Morphometry and hemodynamics of coronary artery aneurysms caused by atherosclerosis, Atherosclerosis, 284 (2019) 187-193.
[6] M. Abbasian, M. Shams, Z. Valizadeh, A. Moshfegh, A. Javadzadegan, S. Cheng, Effects of different non-Newtonian models on unsteady blood flow hemodynamics in patient-specific arterial models with in-vivo validation, Computer methods and programs in biomedicine, 186 (2020) 105185.
[7] K. Haldar, Effects of the shape of stenosis on the resistance to blood flow through an artery, Bulletin of Mathematical Biology, 47(4) (1985) 545-550.
[8] S.P. Shupti, M.G. Rabby, M. Molla, Rheological behavior of physiological pulsatile flow through a model arterial stenosis with moving wall, Journal of Fluids, Article ID546716, (2015).
[9] B.M. Johnston, P.R. Johnston, S. Corney, D. Kilpatrick, Non-Newtonian blood flow in human right coronary arteries: steady state simulations, Journal of biomechanics, 37(5) (2004) 709-720.
[10] G. Lorenzini, Blood velocity field numerical assessment using a GPL code in case of intravascular Doppler catheter affections: comparative analysis of different rheological models, Journal of biomechanics, 38(10) (2005) 2058-2069.
[11] Y. Fan, W. Jiang, Y. Zou, J. Li, J. Chen, X. Deng, Numerical simulation of pulsatile non-Newtonian flow in the carotid artery bifurcation, Acta Mechanica Sinica, 25(2) (2009) 249-255.
[12] X. Wang, X. Li, Computational simulation of aortic aneurysm using FSI method: influence of blood viscosity on aneurismal dynamic behaviors, Computers in biology and medicine, 41(9) (2011) 812-821.
[13] A. Skiadopoulos, P. Neofytou, C. Housiadas, Comparison of blood rheological models in patient specific cardiovascular system simulations, Journal of Hydrodynamics, Ser. B, 29(2) (2017) 293-304.
[14] A. Caballero, S. Laín, Numerical simulation of non-Newtonian blood flow dynamics in human thoracic aorta, Computer methods in biomechanics and biomedical engineering, 18(11) (2015) 1200-1216.
[15] A.J. Apostolidis, A.P. Moyer, A.N. Beris, Non-Newtonian effects in simulations of coronary arterial blood flow, Journal of Non-Newtonian Fluid Mechanics, 233 (2016) 155-165.
[16] C. Oliveira, A.A. Soares, A. Simões, S. Gonzaga, A. Rouboa, Numerical study of non-Newtonian blood behavior in the abdominal aortic bifurcation of a patient-specific at rest, The Open Sports Sciences Journal, 10(1) (2017).
[17] S.E. Razavi, V. Farhangmehr, N. Zendeali, Numerical investigation of the blood flow through the middle cerebral artery, Bioimpacts, 8(3) (2018) 195-200.
[18] S. Bahrami, M. Norouzi, A numerical study on hemodynamics in the left coronary bifurcation with normal and hypertension conditions, Biomechanics and modeling in mechanobiology, 17(6) (2018) 1785-1796.
[19] M. Kopernik, P. Tokarczyk, Development of multi-phase models of blood flow for medium-sized vessels with stenosis, Acta of bioengineering and biomechanics, 21(2) (2019).
[20] A. Razavi, E. Shirani, M.R. Sadeghi, Numerical simulation of blood pulsatile flow in a stenosed carotid artery using different rheological models, Journal of biomechanics, 44(11) (2011) 2021-2030.
[21] T. Chaichana, Z. Sun, J. Jewkes, Computation of hemodynamics in the left coronary artery with variable angulations, Journal of biomechanics, 44(10) (2011) 1869-1878.
[22] S.E. Razavi, V. Farhangmehr, Z. Babaie, Numerical investigation of hemodynamic performance of a stent in the main branch of a coronary artery bifurcation, Bioimpacts, 9(2)  97-103.
[23] D. Sengupta, A.M. Kahn, J.C. Burns, S. Sankaran, S.C. Shadden, A.L. Marsden, Image-based modeling of hemodynamics in coronary artery aneurysms caused by Kawasaki disease, Biomechanics and modeling in mechanobiology, 11(6) (2012) 915-932.
[24] I. ANSYS, (2016),  ANSYS Fluent User’s Guide, Release 17.1.
[25] Y.I. Cho, K.R. Kensey, Effects of the non-Newtonian viscosity of blood on flows in a diseased arterial vessel. Part 1: Steady flows, Biorheology, 28(3-4) (1991) 241-262.
[26] H.A. González, N.O. Moraga, On predicting unsteady non-Newtonian blood flow, Applied Mathematics and Computation, 170(2) (2005) 909-923.
[27] S. Karimi, M. Dabagh, P. Vasava, M. Dadvar, B. Dabir, P. Jalali, Effect of rheological models on the hemodynamics within human aorta: CFD study on CT image-based geometry, Journal of Non-Newtonian Fluid Mechanics, 207 (2014) 42-52.
[28] A. Buradi, A. Mahalingam, Numerical Analysis of Wall Shear Stress Parameters of Newtonian Pulsatile Blood Flow Through Coronary Artery and Correlation to Atherosclerosis, in: B.B. Biswal, B.K. Sarkar, P. Mahanta (Eds.) Advances in Mechanical Engineering, Springer Singapore, Singapore, 2020, pp. 107-118.
[29] D.N. Ku, D.P. Giddens, C.K. Zarins, S. Glagov, Pulsatile flow and atherosclerosis in the human carotid bifurcation. Positive correlation between plaque location and low oscillating shear stress, Arteriosclerosis (Dallas, Tex.), 5(3) (1985) 293-302.
[30] X. He, D.N. Ku, Pulsatile flow in the human left coronary artery bifurcation: average conditions, Journal of biomechanical engineering, 118(1) (1996) 74-82.
[31] C. Chiastra, S. Morlacchi, D. Gallo, U. Morbiducci, R. Cárdenes, I. Larrabide, F. Migliavacca, Computational fluid dynamic simulations of image-based stented coronary bifurcation models, Journal of The Royal Society Interface, 10(84) (2013) 20130193.
[32] K.E. Barrett, S. Boitano, S.M. Barman, H.L. Brooks, Ganong’s review of medical physiology twenty,  (2010).
[33] E. Boutsianis, H. Dave, T. Frauenfelder, D. Poulikakos, S. Wildermuth, M. Turina, Y. Ventikos, G. Zund, Computational simulation of intracoronary flow based on real coronary geometry, European journal of Cardio-thoracic Surgery, 26(2) (2004) 248-256.
[34] D. Sengupta, A.M. Kahn, E. Kung, M.E. Moghadam, O. Shirinsky, G.A. Lyskina, J.C. Burns, A.L. Marsden, Thrombotic risk stratification using computational modeling in patients with coronary artery aneurysms following Kawasaki disease, Biomechanics and modeling in mechanobiology, 13(6) (2014) 1261-1276.
[35] F.J.H. Gijsen, F.N. van de Vosse, J.D. Janssen, The influence of the non-Newtonian properties of blood on the flow in large arteries: steady flow in a carotid bifurcation model, Journal of biomechanics, 32(6) (1999) 601-608.
[36] I. Chatziprodromou, A. Tricoli, D. Poulikakos, Y. Ventikos, Haemodynamics and wall remodelling of a growing cerebral aneurysm: a computational model, Journal of biomechanics, 40(2) (2007) 412-426.