Key result
Parameters derived from the simulated pressure-flow curve using the proposed CFD-based non-invasive method showed a linear and significant correlation with invasive FFR (r > 0.95, P < 0.05).
Why the study?
Does a new CFD-based non-invasive method correlate with invasive FFR for functional diagnosis of coronary stenosis?
Observational (n=25)
Does a new CFD-based non-invasive method correlate with invasive FFR for functional diagnosis of coronary stenosis?
Answers are grounded in this paper and cite their sources.
A novel CFD-based method for non-invasive functional assessment of coronary stenosis without modeling maximal hyperemia correlates strongly with invasive FFR in a small pilot validation.
Accurate functional diagnosis of coronary stenosis is vital for decision making in coronary revascularization. With recent advances in computational fluid dynamics (CFD), fractional flow reserve (FFR) can be derived non-invasively from coronary computed tomography angiography images (FFR CT ) for functional measurement of stenosis. However, the accuracy of FFR CT is limited due to the approximate modeling approach of maximal hyperemia conditions. To overcome this problem, a new CFD based non-invasive method is proposed. Instead of modeling maximal hyperemia condition, a series of boundary conditions are specified and those simulated results are combined to provide a pressure-flow curve for a stenosis. Then, functional diagnosis of stenosis is assessed based on parameters derived from the obtained pressure-flow curve. The proposed method is applied to both idealized and patient-specific models, and validated with invasive FFR in six patients. Results show that additional hemodynamic information about the flow resistances of a stenosis is provided, which cannot be directly obtained from anatomy information. Parameters derived from the simulated pressure-flow curve show a linear and significant correlations with invasive FFR (r > 0.95, P < 0.05). The proposed method can assess flow resistances by the pressure-flow curve derived parameters without modeling of maximal hyperemia condition, which is a new promising approach for non-invasive functional assessment of coronary stenosis.
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Xie et al. (2018) conducted an observational in Coronary stenosis (n=25). CFD-based non-invasive method (pressure-flow curve derived parameters) vs. Invasive Fractional Flow Reserve (FFR) was evaluated on Correlation between parameters derived from the simulated pressure-flow curve and invasive FFR (r > 0.95, p=<0.05). Parameters derived from the simulated pressure-flow curve using the proposed CFD-based non-invasive method showed a linear and significant correlation with invasive FFR (r > 0.95, P < 0.05).
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