scholarly journals Image‐based computational fluid dynamics for estimating pressure drop and fractional flow reserve across iliac artery stenosis: A comparison with in‐vivo measurements

2021 ◽  
Author(s):  
Simeon Skopalik ◽  
Pauline Hall Barrientos ◽  
James Matthews ◽  
Aleksandra Radjenovic ◽  
Patrick Mark ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Pressure Drop ◽  
Fractional Flow Reserve ◽  
Iliac Artery ◽  
Artery Stenosis ◽  
Fractional Flow ◽  
Flow Reserve ◽  
Iliac Artery Stenosis

Fractional flow reserve derived from conventional coronary angiograms and computational fluid dynamics

2015 ◽  
Vol 190 ◽  
pp. 187-189 ◽  
Author(s):  
Anastasios Kopanidis ◽  
Ioannis Pantos ◽  
Andreas Theodorakakos ◽  
Efthalia Tzanalaidou ◽  
Demosthenes Katritsis
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Fractional Flow Reserve ◽  
Fractional Flow ◽  
Flow Reserve ◽  
Coronary Angiograms

scholarly journals The relationship between coronary stenosis morphology and fractional flow reserve: a computational fluid dynamics modelling study

2021 ◽  
Author(s):  
Roberto T F Newcombe ◽  
Rebecca C Gosling ◽  
Vignesh Rammohan ◽  
Patricia V Lawford ◽  
D Rodney Hose ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Coronary Artery ◽  
Fractional Flow Reserve ◽  
Computational Modelling ◽  
Fractional Flow ◽  
Cfd Modelling ◽  
Flow Reserve ◽  
The Relationship ◽  
Lesion Severity

Abstract Background International guidelines mandate the use of fractional flow reserve (FFR) and/or non-hyperaemic pressure ratios to assess the physiological significance of moderate coronary artery lesions to guide revascularisation decisions. However, they remain underused such that visual estimation of lesion severity continues to be the predominant decision-making tool. It would be pragmatic to have an improved understanding of the relationship between lesion morphology and haemodynamics. Aims To compute virtual FFR (vFFR) in idealised coronary artery geometries with a variety of stenosis and vessel characteristics Methods Coronary artery geometries were modelled, based upon physiologically realistic branched arteries. Common stenosis characteristics were studied, including % narrowing, length, eccentricity, shape, number, position relative to branch, and distal (myocardial) resistance. Computational fluid dynamics (CFD) modelling was used to calculate vFFRs using the VIRTUheartTM system. Results Percentage lesion severity had the greatest effect upon FFR. Any ≥80% diameter stenosis in two views (i.e. concentric) was physiologically significant (FFR ≤ 0.80), irrespective of length, shape or vessel diameter. Almost all eccentric stenoses and all 50% concentric stenoses were physiologically non-significant, whilst 70% uniform concentric stenoses about 10mm long straddled the ischaemic threshold (FFR 0.80). A low microvascular resistance (MVR) reduced FFR on average by 0.05, and a high MVR increased it by 0.03. Conclusions Using computational modelling, we have produced an analysis of virtual FFR that relates stenosis characteristics to haemodynamic significance. The strongest predictor of a positive virtual FFR was a concentric, ≥80% diameter stenosis. The importance of MVR was quantified. Other lesion characteristics have a limited impact.

Sign in / Sign up

Export Citation Format

Share Document