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- W2971199419 abstract "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." @default.
- W2971199419 created "2019-09-05" @default.
- W2971199419 creator A5033395864 @default.
- W2971199419 creator A5034658963 @default.
- W2971199419 creator A5079950567 @default.
- W2971199419 creator A5090650732 @default.
- W2971199419 date "2019-11-01" @default.
- W2971199419 modified "2023-09-24" @default.
- W2971199419 title "Computational instantaneous wave‐free ratio (IFR) for patient‐specific coronary artery stenoses using 1D network models" @default.
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- W2971199419 doi "https://doi.org/10.1002/cnm.3255" @default.