The presence of helical flow can suppress areas of disturbed shear in parameterised models of an arteriovenous fistula.

Clicks: 219
ID: 42238
2019
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
Areas of disturbed shear that develop following arteriovenous fistula (AVF) creation are believed to trigger the onset of intimal hyperplasia (IH), leading to AVF dysfunction. The presence of helical flow can suppress the flow disturbances that lead to disturbed shear in other areas of the vasculature. However, the relationship between helical flow and disturbed shear remains unevaluated in AVF. In this study, computational fluid dynamics (CFD) is used to evaluate the relationship between geometry, helical flow and disturbed shear in parameterised models of an AVF characterised by 4 different anastomosis angles. The AVF models with a small anastomosis angle demonstrate the lowest distribution of low/oscillating shear and are characterised by a high helical intensity coupled with a strong balance between helical structures. Contrastingly, the models with a large anastomosis angle experience the least amount of high shear, multidirectional shear, as well as spatial and temporal gradients of shear. Furthermore, the intensity of helical flow correlates strongly with curvature (r = 0.73, p < 0.001), whereas it is strongly and inversely associated with taper (r = -0.87, p < 0.001). In summary, a flow field dominated by a high helical intensity coupled with a strong balance between helical structures can suppress exposure to low/oscillating shear but is ineffective when it comes to other types of shear. This highlights the clinical potential of helical flow as diagnostic marker of exposure to low/oscillating shear, as helical flow can be identified in-vivo with the use of ultrasound imaging.
Reference Key
cunnane2019theinternational Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Cunnane, Connor V;Cunnane, Eoghan M;Moran, Daniel T;Walsh, Michael T;
Journal international journal for numerical methods in biomedical engineering
Year 2019
DOI
10.1002/cnm.3259
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.