Key result
Simplified CFR calculation from 3D-angiography and intracoronary pressure strongly correlates with steady flow simulation.
Why the study?
Frequent co-occurrence of epicardial and microvascular disease suggests a need for complex hemodynamic evaluation, motivating validation of simple model-based CFR calculation against detailed CFD.
Does a simple hemodynamic calculation based on 3D-angiography and intracoronary pressure measurements accurately estimate coronary flow reserve compared to detailed computational fluid dynamics in patients with intermediate coronary stenosis?
Observational (n=9)
Does a simple hemodynamic calculation based on 3D-angiography and intracoronary pressure measurements accurately estimate coronary flow reserve compared to detailed computational fluid dynamics in patients with intermediate coronary stenosis?
Effect estimate: r = 0.984
p-value: p=<10^-5
A simplified hemodynamic calculation of coronary flow reserve based on 3D-angiography and intracoronary pressure measurements correlates strongly with complex computational fluid dynamics, offering a feasible method to assess microvascular dysfunction.
May support simplified CFR estimation during catheterization; hypothesis-generating for microvascular assessment, requiring prospective validation.
BACKGROUND: Measurements of fractional flow reserve (FFR) and/or coronary flow reserve (CFR) are widely used for hemodynamic characterization of coronary lesions. The frequent combination of the epicardial and microvascular disease may indicate a need for complex hemodynamic evaluation of coronary lesions. This study aims at validating the calculation of CFR based on a simple hemodynamic model to detailed computational fluid dynamics (CFD) analysis. METHODS: Three-dimensional (3D) morphological data and pressure values from FFR measurements were used to calculate the target vessel. Nine patients with one intermediate stenosis each, measured by pressure wire, were included in this study. RESULTS: A correlation was found between the determined CFR from simple equations and from a steady flow simulation (r = 0.984, p < 10-5). There was a significant correlation between the CFR values calculated by transient and steady flow simulations (r = 0.94, p < 10-3). CONCLUSIONS: Feasibility was demonstrated of a simple hemodynamic calculation of CFR based on 3D-angiography and intracoronary pressure measurements. A simultaneous determination of both the FFR and CFR values provides the capability to diagnose microvascular dysfunction: the CFR/FFR ratio characterizes the microvascular reserve.
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Csippa et al. (2021) conducted an observational in Stable coronary artery disease (n=9). Simplified calculation of coronary flow reserve (CFRM) vs. Computational fluid dynamics (CFD) analysis was evaluated on Correlation between CFR determined from simple equations and steady flow simulation (r = 0.984, p=<10^-5). A simplified calculation of coronary flow reserve based on 3D-angiography and intracoronary pressure measurements strongly correlated with steady flow simulation (r = 0.984, p < 10^-5).
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