Abstract
The objective of the present work is to assess the percentage rise in pressure in stenosed coronary artery using computational fluid dynamics (CFD) and develop a diagnostive tool to predict the extent of stenosis severity. Correlation for blood pressure with cross-sectional area stenosis (AS) is included in this study. A healthy artery model and a total of 15 coronary stenosis in three different stenosed models are analyzed. The hemodynamic parameters computed through CFD are used to determine blood pressure in stenosed models during systole as well as diastole. It is observed that stenosis is critical for % AS > 80%. CFD results are then mapped by standard curve fitting techniques to develop a mathematical model. A good and significant correlation between blood pressure and % area stenosis is found. The developed mathematical model is further used to develop an inexpensive and handy diagnostive tool for preliminary diagnosis of severity of coronary artery disease by clinicians.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Pijls NH, Fearon WF, Tonino PA, Siebert U, Ikeno F, Bornschein B, van’t Veer M, Klauss V, Manoharan G, Engstrøm T (2010) Fractional flow reserve versus angiography for guiding percutaneous coronary intervention in patients with multivessel coronary artery disease: 2-year follow-up of the FAME (fractional flow reserve versus angiography for multivessel evaluation) study. J Am Coll Cardiol 56(3):177–184
Tonino PA, De Bruyne B, Pijls NH, Siebert U, Ikeno F, vant Veer M, Klauss V, Manoharan G, Engstrøm T, Oldroyd KG (2009) Fractional flow reserve versus angiography for guiding percutaneous coronary intervention. N Engl J Med 360:213–224
Jhunjhunwala P, Padole P, Thombre S (2015) CFD analysis of pulsatile flow and non-Newtonian behavior of blood in arteries. MCB Mol Cell Biomech 12(1):37–47
Pericevic I, Lally C, Toner D, Kelly DJ (2009) The influence of plaque composition on underlying arterial wall stress during stent expansion: the case for lesion-specific stents. Med Eng Phys 31(4):428–433. https://doi.org/10.1016/j.medengphy.2008.11.005
Bernsdorf J, Wang D (2009) Non-Newtonian blood flow simulation in cerebral aneurysms. Comput Math Appl 58(5):1024–1029. https://doi.org/10.1016/j.camwa.2009.02.019
He Y, Duraiswamy N, Frank AO, Moore JE (2005) Blood flow in stented arteries: a parametric comparison of strut design patterns in three dimensions. J Biomech Eng 127(4):637–647
Duraiswamy N, Schoephoerster RT, Moore JE (2009) Comparison of near-wall hemodynamic parameters in stented artery models. J Biomech Eng 131(6):061006
Karimi S, Dabagh M, Vasava P, Dadvar M, Dabir B, Jalali P (2014) Effect of rheological models on the hemodynamics within human aorta: CFD study on CT image-based geometry. J Nonnewton Fluid Mech 207:42–52. https://doi.org/10.1016/j.jnnfm.2014.03.007
Banks J, Bressloff N (2007) Turbulence modeling in three-dimensional stenosed arterial bifurcations. J Biomech Eng 129(1):40–50
Valencia A, Solis F (2006) Blood flow dynamics and arterial wall interaction in a saccular aneurysm model of the basilar artery. Comput Struct 84(21):1326–1337. https://doi.org/10.1016/j.compstruc.2006.03.008
Cho YI, Kensey KR (1991) Effects of the non-Newtonian viscosity of blood on flows in a diseased arterial vessel. Part 1: steady flows. Biorheology 28(3–4):241–262
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Jhunjhunwala, P., Padole, P.M., Thombre, S.B. (2021). Development of a Diagnostive Tool for Prediction of Severity of Coronary Artery Disease. In: Kalamkar, V., Monkova, K. (eds) Advances in Mechanical Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-3639-7_39
Download citation
DOI: https://doi.org/10.1007/978-981-15-3639-7_39
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-3638-0
Online ISBN: 978-981-15-3639-7
eBook Packages: EngineeringEngineering (R0)