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Cited by 301

The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.

The Mechanical Properties of Infrainguinal Vascular Bypass Grafts: Their Role in Influencing Patency

Open access
Sarkar, S., Salacinski, H.J., Hamilton, G., Seifalian, A.M.·2006·European Journal of Vascular and Endovascular Surgery
DOI 10.1016/j.ejvs.2006.01.006
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Abstract

When autologous vein is unavailable, prosthetic graft materials, particularly expanded polytetrafluoroethylene are used for peripheral arterial revascularisation. Poor long term patency of prosthetic materials is due to distal anastomotic intimal hyperplasia. Intimal hyperplasia is directly linked to shear stress abnormalities at the vessel wall. Compliance and calibre mismatch between native vessel and graft, as well as anastomotic line stress concentration contribute towards unnatural wall shear stress. High porosity reduces graft compliance by causing fibrovascular infiltration, whereas low porosity discourages the development of an endothelial lining and hence effective antithrombogenicity. Therefore, consideration of mechanical properties is necessary in graft development. Current research into synthetic vascular grafts concentrates on simulating the mechanical properties of native arteries and tissue engineering aims to construct a new biological arterial conduit.

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Crossref · 10.1016/j.ejvs.2006.01.006

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Metadata

Authors
Sarkar, S., Salacinski, H. J., Hamilton, G., & Seifalian, A. M.
Venue
European Journal of Vascular and Endovascular Surgery
Publisher
Elsevier BV
Published
2006-06
Volume
31
Issue
6
Pages
627-636
ISSN
1078-5884 (ISSN-L)
DOI
10.1016/j.ejvs.2006.01.006
OpenAlex
W2059138360
Cited by
301
References
38
FWCI
10.91
Type
journal article
Language
en
Open access
bronze

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.