Nothing Special   »   [go: up one dir, main page]

Skip to main content

Stenosis Assessment via Volumetric Flow Rate Calculation

  • Conference paper
  • First Online:
Computational Science – ICCS 2021 (ICCS 2021)

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. 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)

    Article  Google Scholar 

  2. 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)

    Google Scholar 

  3. 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)

    Article  Google Scholar 

  4. 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)

    Article  Google Scholar 

  5. Mehra, A., Mohan, B.: Value of FFR in clinical practice. Indian Heart J. 67, 77–80 (2015)

    Article  Google Scholar 

  6. Briceno, N., Lumley, M., Perera, D.: Fractional flow reserve: conundrums, controversies and challenges. Interv. Cardiol. 7(6), 543–552 (2015)

    Article  Google Scholar 

  7. 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)

    Article  Google Scholar 

  8. 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)

    MathSciNet  Google Scholar 

  9. 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)

    Article  Google Scholar 

  10. Fearon, W.F., et al.: Accuracy of fractional flow reserve derived from coronary angiography. Circulation 139(4), 477–484 (2019)

    Article  Google Scholar 

  11. 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)

    Article  Google Scholar 

  12. 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)

    Article  Google Scholar 

  13. 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)

    Article  Google Scholar 

  14. 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)

    Google Scholar 

Download references

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

Authors

Corresponding author

Correspondence to Oleg A. Shramko .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

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)

Publish with us

Policies and ethics