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

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Title: Predicting haemodialysis arteriovenous fistula outcomes using computational fluid dynamics and ferumoxytol-enhanced MRI.
Authors: Ker R; Renal and Transplant Unit, Queen Elizabeth University Hospital, Glasgow, UK., Hyde-Linaker G; Department of Biomedical Engineering, University of Strathclyde, Glasgow, UK., Hall Barrientos P; Imaging Centre of Excellence, Queen Elizabeth University Hospital, Glasgow, UK., Kingsmore DB; Renal and Transplant Unit, Queen Elizabeth University Hospital, Glasgow, UK.; School of Cardiovascular & Metabolic Health, University of Glasgow, Glasgow, UK., Stoumpos S; Renal and Transplant Unit, Queen Elizabeth University Hospital, Glasgow, UK.; School of Cardiovascular & Metabolic Health, University of Glasgow, Glasgow, UK., Kazakidi A; Department of Biomedical Engineering, University of Strathclyde, Glasgow, UK.
Source: The journal of vascular access [J Vasc Access] 2026 May; Vol. 27 (3), pp. 1219-1228. Date of Electronic Publication: 2025 Dec 07.
Publication Type: Journal Article
Journal Info: Publisher: Sage Publications Country of Publication: United States NLM ID: 100940729 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1724-6032 (Electronic) Linking ISSN: 11297298 NLM ISO Abbreviation: J Vasc Access Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Predicting haemodialysis arteriovenous fistula outcomes using computational fluid dynamics and ferumoxytol-enhanced MRI.
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  Data: <searchLink fieldCode="AU" term="%22Ker+R%22">Ker R</searchLink>; Renal and Transplant Unit, Queen Elizabeth University Hospital, Glasgow, UK.<br /><searchLink fieldCode="AU" term="%22Hyde-Linaker+G%22">Hyde-Linaker G</searchLink>; Department of Biomedical Engineering, University of Strathclyde, Glasgow, UK.<br /><searchLink fieldCode="AU" term="%22Hall+Barrientos+P%22">Hall Barrientos P</searchLink>; Imaging Centre of Excellence, Queen Elizabeth University Hospital, Glasgow, UK.<br /><searchLink fieldCode="AU" term="%22Kingsmore+DB%22">Kingsmore DB</searchLink>; Renal and Transplant Unit, Queen Elizabeth University Hospital, Glasgow, UK.; School of Cardiovascular & Metabolic Health, University of Glasgow, Glasgow, UK.<br /><searchLink fieldCode="AU" term="%22Stoumpos+S%22">Stoumpos S</searchLink>; Renal and Transplant Unit, Queen Elizabeth University Hospital, Glasgow, UK.; School of Cardiovascular & Metabolic Health, University of Glasgow, Glasgow, UK.<br /><searchLink fieldCode="AU" term="%22Kazakidi+A%22">Kazakidi A</searchLink>; Department of Biomedical Engineering, University of Strathclyde, Glasgow, UK.
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  Data: <searchLink fieldCode="JN" term="%22100940729%22">The journal of vascular access</searchLink> [J Vasc Access] 2026 May; Vol. 27 (3), pp. 1219-1228. <i>Date of Electronic Publication: </i>2025 Dec 07.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Sage+Publications%22">Sage Publications </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>100940729 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1724-6032 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2211297298%22">11297298 </searchLink><i>NLM ISO Abbreviation: </i>J Vasc Access <i>Subsets: </i>MEDLINE
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        Value: 10.1177/11297298251395144
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        Text: English
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      – TitleFull: Predicting haemodialysis arteriovenous fistula outcomes using computational fluid dynamics and ferumoxytol-enhanced MRI.
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              Text: 2026 May
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