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The effect of stenosis rate and Reynolds number on local flow characteristics and plaque formation around the atherosclerotic stenosis

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Mar 10, 2021

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Bahramian A., Simultaneous effects of mesh refinement, grid configuration and wall boundary condition on prediction of pressure gradients and velocity profiles of microparticles in a conical fluidized bed, Particuology, 2019, 43, 123–136. Search in Google Scholar

Banerjee M.K., Ganguly R., Datta A., Variation of Wall Shear Stress and Flow Characteristics Across Cosine Shaped Stenotic Model with Flow Reynolds Number and Degree of Stenosis, International Journal of Fluid Mechanics Research, 2010, 37 (6), 530–552. Search in Google Scholar

Bentzon J.F., Otsuka F., Virmani R., Falk E., Mechanisms of plaque formation and rupture, Circ. Res., 2014, 114 (12), 1852–1866. Search in Google Scholar

Bit A., Alblawi A., Chattopadhyay H., Quais Q.A., Benim A.C., Rahimi-Gorji M., Do H.T., Three dimensional numerical analysis of hemodynamic of stenosed artery considering realistic outlet boundary conditions, Comput. Methods Programs Biomed., 2020, 185, 105163. Search in Google Scholar

Bit A., Chattopadhay H., Acute Aneurysm is more Critical than Acute Stenoses in Blood Vessels: a Numerical Investigation Using Stress Markers, BioNanoScience, 2018, 8 (1), 329–336. Search in Google Scholar

Bit A., Chattopadhyay H., Numerical investigations of pulsatile flow in stenosed artery, Acta Bioeng. Biomech., 2014, 16 (4), 33–44. Search in Google Scholar

Bit A., Ghagare D., Rizvanov A.A., Chattopadhyay H., Assessment of Influences of Stenoses in Right Carotid Artery on Left Carotid Artery Using Wall Stress Marker, Biomed. Res. Int., 2017, 2935195. Search in Google Scholar

Cassanova R.A., Giddens D.P., Disorder distal to modeled stenoses in steady and pulsatile flow, Journal of Biomechanics, 1978, 11 (10), 441–453. Search in Google Scholar

Chattopadhyay H., Himadri, Bit A., Arindam, Assessment of rheological models for prediction of transport phenomena in stenosed artery, Progress in computational fluid dynamics: An international journal, 2014. Search in Google Scholar

Cho Y.I., Kensey K.R., Effects of the non-Newtonian viscosity of blood on flows in a diseased arterial vessel. Part 1. Steady flows, Biorheology, 1991, 28 (3–4), 241–262. Search in Google Scholar

Clark C., The propagation of turbulence produced by a stenosis, Journal of Biomechanics, 1980, 13 (7), 591–604. Search in Google Scholar

Coppola G., Caro C., Arterial geometry, flow pattern, wall shear and mass transport: potential physiological significance, J. R. Soc. Interface, 2009, 6 (35), 519–528. Search in Google Scholar

Eswari J.S., Majdoubi J., Naik S., Gupta S., Bit A., Rahimi-Gorji M., Saleem A., Prediction of stenosis behaviour in artery by neural network and multiple linear regressions, Biomech. Model Mechanobiol., 2020, 19 (5), 1697–1711. Search in Google Scholar

Gramigna V., Caruso M.V., Rossi M., Serraino G.F., Renzulli A., Fragomeni G., A numerical analysis of the aortic blood flow pattern during pulsed cardiopulmonary bypass, Comput. Methods Biomech. Biomed. Engin., 2015, 18 (14), 1574–1581. Search in Google Scholar

Huang B., Ling Y., Lin J., Fang Y., Wu J., Mechanical regulation of calcium signaling of HL-60 on P-selectin under flow, Biomed. Eng. Online, 2016, 15 (Suppl. 2), 153. Search in Google Scholar

Kamangar S., Badruddin I.A., Ahamad N.A., Govindaraju K., Nik-Ghazali N., Salman Ahmed N.J., Badarudin A., Yunus Khan T.M., The Influence of Geometrical Shapes of Stenosis on the Blood Flow in Stenosed Artery, Sains Malaysiana, 2017, 46 (10), 1923–1933. Search in Google Scholar

Kim S., Giddens D.P., Mass transport of low density lipoprotein in reconstructed hemodynamic environments of human carotid arteries: the role of volume and solute flux through the endothelium, J. Biomech. Eng., 2015, 137 (4), 041007–0410017. Search in Google Scholar

Marshall B.T., Long M., Piper J.W., Yago T., Mcever R.P., Zhu C., Direct observation of catch bonds involving celladhesion molecules, Nature, 2003, 423 (6936), 190–193. Search in Google Scholar

Meng H., Tutino V.M., Xiang J., Siddiqui A., High WSS or low WSS? Complex interactions of hemodynamics with intracranial aneurysm initiation, growth, and rupture: toward a unifying hypothesis, AJNR. American Journal of Neuroradiology, 2014, 35 (7), 1254–1262. Search in Google Scholar

Pratumwal Y., Limtrakarn W., Muengtaweepongsa S., Phakdeesan P., Intharakham K., Whole blood viscosity modeling using power law, Casson, and Carreau Yasuda models integrated with image scanning U-tube viscometer technique, Songklanakarin Journal of Ence and Technology, 2017, 39 (5), 625–631. Search in Google Scholar

Sakamoto A., Jinnouchi H., Torii S., Virmani R., Finn A.V., Understanding the Impact of Stent and Scaffold Material and Strut Design on Coronary Artery Thrombosis from the Basic and Clinical Points of View, Bioengineering (Basel), 2018, 5 (3). Search in Google Scholar

Stein P.D., Sabbah H.N., Turbulent blood flow in the ascending aorta of humans with normal and diseased aortic valves, Circ. Res., 1976, 39 (1), 58–65. Search in Google Scholar

Tomaszewski M., Sybilski K., Baranowski P., Małachowski J., Experimental and numerical flow analysis through arteries with stent using particle image velocimetry and computational fluid dynamics method, Biocybernetics and Biomedical Engineering, 2020, 40 (2), 740–751. Search in Google Scholar

Tomaszewski M., Sybilski K., Małachowski J., Wolański W., Buszman P.P., Numerical and experimental analysis of balloon angioplasty impact on flow hemodynamics improvement, Acta of Bioengineering and Biomechanics, 2020, 22 (3). Search in Google Scholar

Van Der Wal A.C., Becker A.E., Atherosclerotic plaque rupture – pathologic basis of plaque stability and instability, Cardiovascular Research, 1999, 41 (2), 334–344. Search in Google Scholar

Wei L., Leo H.L., Chen Q., Li Z., Structural and Hemodynamic Analyses of Different Stent Structures in Curved and Stenotic Coronary Artery, Front Bioeng. Biotechnol., 2019, 7, 366. Search in Google Scholar

Woodward P., Colella P., The numerical simulation of two-dimensional fluid flow with strong shocks, Journal of Computational Physics, 1984, 54 (1), 115–173. Search in Google Scholar

Yago T., Lou J., Wu T., Yang J., Miner J.J., Coburn L., López J.A., Cruz M.A., Dong J.-F., McIntire L.V., Mcever R.P., Zhu C., Platelet glycoprotein Ibα forms catch bonds with human WT vWF but not with type 2B von Willebrand disease vWF, Journal of Clinical Investigation, 2008, 118 (9), 3195–3207. Search in Google Scholar

Yu H., Huang G.P., Ludwig B.R., Yang Z., An In-Vitro Flow Study Using an Artificial Circle of Willis Model for Validation of an Existing One-Dimensional Numerical Model, Ann. Biomed. Eng., 2019, 47 (4), 1023–1037. Search in Google Scholar

Zhang J.-M., Zhong L., Luo T., Huo Y., Tan S.Y., Wong A.S.L., Su B., Wan M., Zhao X., Kassab G.S., Lee H.P., Khoo B.C., Kang C.-W., Ba T., Tan R.S., Numerical simulation and clinical implications of stenosis in coronary blood flow, BioMed Research International, 2014, 514729-514729. Search in Google Scholar