Evidence map›Paper›PMID 37322241›Full record

ArticleCardiovascular engineering and technology2023

Intra-Cardiac Flow from Geometry Prescribed Computational Fluid Dynamics: Comparison with Ultrasound Vector Flow Imaging.

Rasmus Hvid, Matthias Bo Stuart, Jørgen Arendt Jensen, Marie Sand Traberg

Abstract read
In one paragraph

Article in Cardiovascular engineering and technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

4 authors.

Rasmus HvidDepartment of Health Technology, Technical University of Denmark, 2800, Kongens Lyngby, Denmark.ORCID 0000-0002-5070-9048
Matthias Bo StuartDepartment of Health Technology, Technical University of Denmark, 2800, Kongens Lyngby, Denmark.ORCID 0000-0003-0809-530X
Jørgen Arendt JensenDepartment of Health Technology, Technical University of Denmark, 2800, Kongens Lyngby, Denmark.ORCID 0000-0002-7896-3136
Marie Sand TrabergDepartment of Health Technology, Technical University of Denmark, 2800, Kongens Lyngby, Denmark. msene@dtu.dk.ORCID 0000-0001-7090-6607

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis paper investigates the accuracy of blood flow velocities simulated from a geometry prescribed computational fluid dynamics (CFD) pipeline by applying it to a dynamic heart phantom. The CFD flow patterns are compared to a direct flow measurement by ultrasound vector flow imaging (VFI). The hypothesis is that the simulated velocity magnitudes are within one standard deviation of the measured velocities.

methodsThe CFD pipeline uses computed tomography angiography (CTA) images with 20 volumes per cardiac cycle as geometry input. Fluid domain movement is prescribed from volumetric image registration using the CTA image data. Inlet and outlet conditions are defined by the experimental setup. VFI is systematically measured in parallel planes, and compared to the corresponding planes in the simulated time dependent three dimensional fluid velocity field.

resultsThe measured VFI and simulated CFD have similar flow patterns when compared qualitatively. A quantitative comparison of the velocity magnitude is also performed at specific regions of interest. These are evaluated at 11 non-overlapping time bins and compared by linear regression giving R

conclusionThe direct comparison of flow patterns shows that the proposed CFD pipeline provide realistic flow patterns in a well-controlled experimental setup. The demanded accuracy is obtained close to the inlet and outlet, but not in locations far from these.

Indexed as

HydrodynamicsModels, CardiovascularBlood Flow VelocityComputer SimulationHemodynamicsPhantoms, ImagingUltrasonographyComputational fluid dynamicsGeometry prescribed motionIntra-cardiac hemodynamicsUltrasound blood flow imaging

Identifiers

PMID37322241
PMCPMC10465406

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.