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Computational instantaneous wave‐free ratio (IFR) for patient‐specific coronary artery stenoses using 1D network models

Jason Carson Orcid Logo, Carl Roobottom, Robin Alcock, Perumal Nithiarasu Orcid Logo, Jason Carson

International Journal for Numerical Methods in Biomedical Engineering, Volume: 35, Issue: 11

Swansea University Authors: Jason Carson Orcid Logo, Perumal Nithiarasu Orcid Logo, Jason Carson

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DOI (Published version): 10.1002/cnm.3255

Abstract

In this work, we estimate the diagnostic threshold of the instantaneous wave‐free ratio (iFR) through the use of a one‐dimensional haemodynamic framework. To this end, we first compared the computed fractional flow reserve (cFFR) predicted from a 1D computational framework with invasive clinical mea...

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Published in: International Journal for Numerical Methods in Biomedical Engineering
ISSN: 2040-7939 2040-7947
Published: Wiley 2019
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URI: https://cronfa.swan.ac.uk/Record/cronfa51923
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Abstract: In this work, we estimate the diagnostic threshold of the instantaneous wave‐free ratio (iFR) through the use of a one‐dimensional haemodynamic framework. To this end, we first compared the computed fractional flow reserve (cFFR) predicted from a 1D computational framework with invasive clinical measurements. The framework shows excellent promise and utilises minimal patient data from a cohort of 52 patients with a total of 66 stenoses. The diagnostic accuracy of the cFFR model was 75.76%, with a sensitivity of 71.43%, a specificity of 77.78%, a positive predictive value of 60%, and a negative predictive value of 85.37%. The validated model was then used to estimate the diagnostic threshold of iFR. The model determined a quadratic relationship between cFFR and the ciFR. The iFR diagnostic threshold was determined to be 0.8910 from a receiver operating characteristic curve that is in the range of 0.89 to 0.9 that is normally reported in clinical studies.
Keywords: coronary arteries, FFR, haemodynamic modelling, iFR
Funders: UKRI, MR/S004076/1
Issue: 11

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