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Computational instantaneous wave‐free ratio (IFR) for patient‐specific coronary artery stenoses using 1D network models / Jason Carson, Carl Roobottom, Robin Alcock, Perumal Nithiarasu

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

Swansea University Authors: Jason Carson, Perumal Nithiarasu, 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
Issue: 11