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Computational instantaneous wave‐free ratio (IFR) for patient‐specific coronary artery stenoses using 1D network models
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...
Published in: | International Journal for Numerical Methods in Biomedical Engineering |
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ISSN: | 2040-7939 2040-7947 |
Published: |
Wiley
2019
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Online Access: |
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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. |
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Keywords: |
coronary arteries, FFR, haemodynamic modelling, iFR |
Funders: |
UKRI, MR/S004076/1 |
Issue: |
11 |