Key result
Computational fluid dynamics-based flow calculations correlated within 20% of ultrasound-measured flow in 5 of 8 patients with access stenosis, with a mean difference of 17.2%.
Why the study?
Does computational fluid dynamics (CFD) analysis accurately predict the functional significance of stenosis in vascular access circuits compared to duplex ultrasound?
Observational (n=8)
Does computational fluid dynamics (CFD) analysis accurately predict the functional significance of stenosis in vascular access circuits compared to duplex ultrasound?
Mean Difference: 17.2
Computational fluid dynamics analysis can predict flow rates in vascular access stenoses that correlate reasonably well with ultrasound measurements, potentially aiding in the assessment of functional significance to guide interventions.
CFD may aid functional stenosis assessment in access circuits; hypothesis-generating and requires larger prospective validation.
PURPOSE: Stenosis in a vascular access circuit is the predominant cause of access dysfunction. Hemodynamic significance of a stenosis identified by angiography in an access circuit is uncertain. This study utilizes computational fluid dynamics (CFD) to model flow through arteriovenous fistula to predict the functional significance of stenosis in vascular access circuits. METHODS: Three-dimensional models of fistulas were created with a range of clinically relevant stenoses using SolidWorks. Stenoses diameters ranged from 1.0 to 3.0 mm and lengths from 5 to 60 mm within a fistula diameter of 7 mm. CFD analyses were performed using a blood model over a range of blood pressures. Eight patient-specific stenoses were also modeled and analyzed with CFD and the resulting blood flow calculations were validated by comparison with brachial artery flow measured by duplex ultrasound. RESULTS: Predicted flow rates were derived from CFD analysis of a range of stenoses. These stenoses were modeled by CFD and correlated with the ultrasound measured flow rate through the fistula of eight patients. The calculated flow rate using CFD correlated within 20% of ultrasound measured flow for five of eight patients. The mean difference was 17.2% (ranged from 1.3% to 30.1%). CONCLUSIONS: CFD analysis-generated flow rate tables provide valuable information to assess the functional significance of stenosis detected during imaging studies. The CFD study can help in determining the clinical relevance of a stenosis in access dysfunction and guide the need for intervention.
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Hoganson et al. (2014) conducted an observational in Vascular access circuit stenosis (n=8). Computational fluid dynamics (CFD) analysis vs. Duplex ultrasound was evaluated on Blood flow rate (mean difference 17.2%). Computational fluid dynamics-based flow calculations correlated within 20% of ultrasound-measured flow in 5 of 8 patients with access stenosis, with a mean difference of 17.2%.
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