Evidence map›Paper›PMID 35466777›Full record

ArticleJournal of endovascular therapy : an official journal of the International Society of Endovascular Specialists2023

Computational Fluid Dynamics for the Prediction of Endograft Thrombosis in the Superficial Femoral Artery.

Lennart van de Velde, Erik Groot Jebbink, Rob Hagmeijer, Michel Versluis, Michel M P J Reijnen

Abstract read
In one paragraph

Article in Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Lennart van de VeldeDepartment of Surgery, Ziekenhuis Rijnstate, Arnhem, The Netherlands.ORCID 0000-0001-8804-8671
Erik Groot JebbinkDepartment of Surgery, Ziekenhuis Rijnstate, Arnhem, The Netherlands.ORCID 0000-0001-7041-8603
Rob HagmeijerEngineering Fluid Dynamics, University of Twente, Enschede, The Netherlands.
Michel VersluisPhysics of Fluids Group, Technical Medical Centre, University of Twente, Enschede, The Netherlands.ORCID 0000-0002-2296-1860
Michel M P J ReijnenDepartment of Surgery, Ziekenhuis Rijnstate, Arnhem, The Netherlands.ORCID 0000-0002-5021-1768

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeContemporary diagnostic modalities, including contrast-enhanced computed tomography (CTA) and duplex ultrasound, have been insufficiently able to predict endograft thrombosis. This study introduces an implementation of image-based computational fluid dynamics (CFD), by exemplification with 4 patients treated with an endograft for occlusive disease of the superficial femoral artery (SFA). The potential of personalized CFD for predicting endograft thrombosis is investigated. MATERIALS AND

methodsFour patients treated with endografts for an occluded SFA were retrospectively included. CFD simulations, based on CTA and duplex ultrasound, were compared for patients with and without endograft thrombosis to investigate potential flow-related causes of endograft thrombosis. Time-averaged wall shear stress (TAWSS) was computed, which highlights areas of prolonged residence times of coagulation factors in the graft.

resultsCFD simulations demonstrated normal TAWSS (>0.4 Pa) in the SFA for cases 1 and 2, but low levels of TAWSS (<0.4 Pa) in cases 3 and 4, respectively. Primary patency was achieved in cases 1 and 2 for over 2 year follow-up. Cases 3 and 4 were complicated by recurrent endograft thrombosis.

conclusionThe presence of a low TAWSS was associated with recurrent endograft thrombosis in subjects with otherwise normal anatomic and ultrasound assessment and a good distal run-off.

Indexed as

Blood Vessel Prosthesis ImplantationThrombosisBlood Vessel ProsthesisFemoral ArteryHemodynamicsHumansHydrodynamicsModels, CardiovascularRetrospective StudiesTreatment Outcomecomputational flow dynamicshemodynamicsperipheral artery diseasestent thrombosiswall shear stress

Identifiers

PMID35466777
PMCPMC10350734

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Registered trials

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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.