Evidence map›Paper›PMID 38765874›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2024

Validation of ultrasound velocimetry and computational fluid dynamics for flow assessment in femoral artery stenotic disease.

Lennart van de Velde, Majorie van Helvert, Stefan Engelhard, Ashkan Ghanbarzadeh-Dagheyan, Hadi Mirgolbabaee, Jason Voorneveld, Guillaume Lajoinie, Michel Versluis, Michel M P J Reijnen, Erik Groot Jebbink

Abstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

10 authors.

Lennart van de VeldeUniversity of Twente, TechMed Centre, Multi-Modality Medical Imaging, Enschede, The Netherlands.ORCID https://orcid.org/0000-0001-8804-8671
Majorie van HelvertUniversity of Twente, TechMed Centre, Multi-Modality Medical Imaging, Enschede, The Netherlands.ORCID https://orcid.org/0000-0001-6736-3322
Stefan EngelhardRijnstate Hospital, Department of Surgery, Arnhem, The Netherlands.
Ashkan Ghanbarzadeh-DagheyanUniversity of Twente, TechMed Centre, Multi-Modality Medical Imaging, Enschede, The Netherlands.
Hadi MirgolbabaeeUniversity of Twente, TechMed Centre, Multi-Modality Medical Imaging, Enschede, The Netherlands.ORCID https://orcid.org/0000-0001-6291-7170
Jason VoorneveldErasmus MC, Department of Cardiology, Thorax Biomedical Engineering, Rotterdam, The Netherlands.
Guillaume LajoinieUniversity of Twente, TechMed Centre, Physics of Fluids, Enschede, The Netherlands.ORCID https://orcid.org/0000-0002-8226-7301
Michel VersluisUniversity of Twente, TechMed Centre, Physics of Fluids, Enschede, The Netherlands.ORCID https://orcid.org/0000-0002-2296-1860
Michel M P J ReijnenUniversity of Twente, TechMed Centre, Multi-Modality Medical Imaging, Enschede, The Netherlands.
Erik Groot JebbinkUniversity of Twente, TechMed Centre, Multi-Modality Medical Imaging, Enschede, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To investigate the accuracy of high-framerate echo particle image velocimetry (ePIV) and computational fluid dynamics (CFD) for determining velocity vectors in femoral bifurcation models through comparison with optical particle image velocimetry (oPIV). Approach: Separate femoral bifurcation models were built for oPIV and ePIV measurements of a non-stenosed (control) and a 75%-area stenosed common femoral artery. A flow loop was used to create triphasic pulsatile flow. In-plane velocity vectors were measured with oPIV and ePIV. Flow was simulated with CFD using boundary conditions from ePIV and additional duplex-ultrasound (DUS) measurements. Mean differences and 95%-limits of agreement (1.96*SD) of the velocity magnitudes in space and time were compared, and the similarity of vector complexity (VC) and time-averaged wall shear stress (TAWSS) was assessed. Results: Similar flow features were observed between modalities with velocities up to 110 and Conclusions: EPIV and CFD-ePIV can accurately measure complex flow features in the femoral bifurcation and around a stenosis. CFD-DUS showed larger deviations in velocities making it a less robust technique for hemodynamical assessment. The applied ePIV and CFD techniques enable two- and three-dimensional assessment of local hemodynamics with high spatiotemporal resolution and thereby overcome key limitations of current clinical modalities making them an attractive and cost-effective alternative for hemodynamical assessment in clinical practice.

Indexed as

blood flow imagingcomputational fluid dynamicsecho-particle image velocimetryperipheral arterial diseasestenotic blood flowultrafast ultrasound imaging

Identifiers

PMID38765874
PMCPMC11097197

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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.