Abstract
Coronary artery stenosis is a condition that restricts blood flow to the myocardium, potentially leading to ischemia and acute coronary events. To decide whether an intervention is needed, different criteria can be used, e.g. calculation of fractional flow reserve (FFR). FFR can also be computed based on computer simulations of blood flow (virtual FFR, vFFR). Here we propose an alternative, more direct, metric for assessing the hemodynamic value of stenosis from computational models, the computed volumetric flow drop (VFD). VFD and vFFR are computed for several stenosis locations using a 1D model of the left coronary tree, and also an analytical model is presented to show why FFR value may differ from the true flow reduction. The results show that FFR = 0.8, which is often used as a criterion for stenting, may correspond to a reduction in volumetric flow from less than 10% to almost 30% depending on the stenosis location. The implications are that FFR-based assessment may overestimate the hemodynamic value of stenosis, and it’s preferable to use a more direct metric for simulation-based estimation of stenosis value.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Pijls, N.H.J., et al.: Measurement of fractional flow reserve to assess the functional severity of coronary-artery stenoses. N Engl. J. Med. 334, 1703–1708 (1996)
Saha, S., Purushotham, T., Prakash, K.A.: Numerical and experimental investigations of fractional flow reserve (FFR) in a stenosed coronary artery. In: E3S Web of Conferences, vol. 128, p. 02006 (2019)
Lotfi, A., et al.: Expert consensus statement on the use of fractional flow reserve, intravascular ultrasound, and optical coherence tomography: a consensus statement of the society of cardiovascular angiography and interventions. Catheter. Cardiovasc. Interv. 83, 509–518 (2014)
Pijls, N.H.J., van Son, J.A.M., Kirkeeide, R.L., De Bruyne, B., Gould, K.L.: Experimental basis of determining maximum coronary, myocardial, and collateral blood flow by pressure measurements for assessing functional stenosis severit before and after percutaneous transluminal coronary angioplasty. Circulation 87(4), 1354–1367 (1993)
Mehra, A., Mohan, B.: Value of FFR in clinical practice. Indian Heart J. 67, 77–80 (2015)
Briceno, N., Lumley, M., Perera, D.: Fractional flow reserve: conundrums, controversies and challenges. Interv. Cardiol. 7(6), 543–552 (2015)
Morris, P.D., van de Vosse, F.N., Lawford, P.V., Hose, D.R., Gunn, J.P.: “Virtual” (computed) fractional flow reserve: current challenges and limitations. JACC Cardiovasc Interv. 8(8), 1009–1017 (2015)
Carson, J.M., et al.: Non-invasive coronary CT angiography-derived fractional flow reserve: a benchmark study comparing the diagnostic performance of four different computational methodologies. Int. J. Numer. Meth. Biomed. Eng. 35, e3235 (2019)
Crystal, G.J., Klein, L.W.: Fractional flow reserve: physiological basis, advantages and limitations, and potential gender differences. Curr. Cardiol. Rev. 11, 209–219 (2015)
Fearon, W.F., et al.: Accuracy of fractional flow reserve derived from coronary angiography. Circulation 139(4), 477–484 (2019)
Levy, P.S., et al.: Limit to cardiac compensation during acute isovolemic hemodilution: influence of coronary stenosis. Am. J. Physiol. Heart Circulatory Physiol. 265(1), H340–H349 (1993)
Boileau, E., et al.: A benchmark study of numerical schemes for one-dimensional arterial blood flow modeling. Int. J. Numer. Meth. Biomed. Eng. 31(10), e02732 (2015)
Alastruey, J., et al.: Pulse wave propagation in a model human arterial network: assessment of 1-D visco-elastic simulations against in vitro measurements. J. Biomech. 44(12), 2250–2258 (2011)
Fahmi, R., et al.: Dynamic myocardial perfusion in a porcine balloon-induced ischemia model using a prototype spectral detector CT. In: Proceedings of SPIE 9417, Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging, 94170Y (2015)
Acknowledgements
This research was supported by The Russian Science Foundation, Agreement # 20–71-10108 (29.07.2020). Participation in the ICCS conference was supported by the NWO Science Diplomacy Fund project # 483.20.038 "Russian-Dutch Collaboration in Computational Science".
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Svitenkov, A.I., Zun, P.S., Shramko, O.A. (2021). Stenosis Assessment via Volumetric Flow Rate Calculation. In: Paszynski, M., Kranzlmüller, D., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M. (eds) Computational Science – ICCS 2021. ICCS 2021. Lecture Notes in Computer Science(), vol 12744. Springer, Cham. https://doi.org/10.1007/978-3-030-77967-2_59
Download citation
DOI: https://doi.org/10.1007/978-3-030-77967-2_59
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-77966-5
Online ISBN: 978-3-030-77967-2
eBook Packages: Computer ScienceComputer Science (R0)