Evidence map›Paper›PMID 41355208›Full record

ArticleThe journal of vascular access2026

Predicting haemodialysis arteriovenous fistula outcomes using computational fluid dynamics and ferumoxytol-enhanced MRI.

Robert Ker, George Hyde-Linaker, Pauline Hall Barrientos, David Brian Kingsmore, Sokratis Stoumpos, Asimina Kazakidi

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Article in The journal of vascular access, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Robert KerRenal and Transplant Unit, Queen Elizabeth University Hospital, Glasgow, UK.ORCID 0009-0002-7086-6670
George Hyde-LinakerDepartment of Biomedical Engineering, University of Strathclyde, Glasgow, UK.
Pauline Hall BarrientosImaging Centre of Excellence, Queen Elizabeth University Hospital, Glasgow, UK.ORCID 0000-0002-1563-233X
David Brian KingsmoreRenal and Transplant Unit, Queen Elizabeth University Hospital, Glasgow, UK.ORCID 0000-0002-0401-2178
Sokratis StoumposRenal and Transplant Unit, Queen Elizabeth University Hospital, Glasgow, UK.
Asimina KazakidiDepartment of Biomedical Engineering, University of Strathclyde, Glasgow, UK.ORCID 0000-0001-7124-4123

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveArteriovenous fistulas (AVF) are the preferred vascular access for maintenance haemodialysis. However, AVF non-maturation occurs in up to 60% of patients, frequently caused by inadequate vascular remodelling or stenosis development. This study explores the relationships between AVF anatomy, haemodynamics and AVF outcomes by combining, uniquely, high-fidelity numerical simulations and state-of-the-art ferumoxytol-enhanced magnetic resonance imaging (Fe-MRI) in patients.

methodsPatients underwent Fe-MRI 6 weeks after AVF creation. A novel computational fluid dynamics (CFD) methodology was employed to rigorously investigate haemodynamic metrics, including wall shear stress (WSS) and oscillatory shear index (OSI), and quantify changes in the AVF lumen at 1 cm intervals along the proximal artery, anastomosis and AVF vein. The primary outcome was AVF success, defined as AVF usage (assisted or unassisted) for dialysis for at least 3 months. ROC analysis was conducted to assess anatomical predictors of AVF flows of ⩾1000 ml/min.

resultsThe analysis included 17 AVFs (13 successful, 4 failed). Compared to failed fistulas, successful AVFs had higher mean WSS and OSI. Failed AVFs exhibited different haemodynamics, including lower flow rates with less helical flow. On ROC analysis, the three metrics associated with the highest area under the curve (AUC) values were the feeding artery curvature (0.82) and diameter (0.76), and draining vein diameter (0.74), with a combined AUC value of 0.83.

conclusionThese data suggest that high WSS, OSI, larger feeding artery and draining vein diameters and lower feeding artery curvature are associated with successful AVF outcomes. Whilst venous parameters are important, this study highlights the critical role of feeding artery characteristics, particularly diameter and curvature. These findings provide significant insights into the role of haemodynamics and geometry in modulating AVF maturation, suggesting that incorporation of arterial metrics into preoperative assessments could enhance surgical decision-making for more reliable AVF maturation and better long-term outcomes in haemodialysis patients.

Indexed as

Arteriovenous Shunt, SurgicalContrast MediaFerrosoferric OxideHemodynamicsMagnetic Resonance ImagingModels, CardiovascularPatient-Specific ModelingRenal DialysisVeinsAgedBlood Flow VelocityFemaleGraft Occlusion, VascularHumansHydrodynamicsMaleContrast MediaFerrosoferric OxideArteriovenous fistulachronic kidney diseasecomputational fluid dynamicsferumoxytolhaemodynamicsMRI

Identifiers

PMID41355208
PMCPMC13135645

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.