Evidence map›Paper›PMID 35133539›Full record

ArticleMagma (New York, N.Y.)2022

Hemodynamics in a three-dimensional printed aortic model: a comparison of four-dimensional phase-contrast magnetic resonance and image-based computational fluid dynamics.

Jieun Park, Junghun Kim, Sinjae Hyun, Jongmin Lee

Abstract read
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In one paragraph

Article in Magma (New York, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Jieun ParkNonlinear Dynamics Research Center, Kyungpook National University, Daegu, Republic of Korea.
Junghun Kim *Bio-Medical Research Institute, Kyungpook National University and Hospital, Daegu, Korea. fainal2@naver.com.
Sinjae HyunDepartment of Biomedical Engineering, Mercer University, Macon, GA, 31207, USA.
Jongmin Lee *Department of Radiology, Kyungpook National University and Hospital, 50, Sam-Duk 2 Ga, Jung Gu, Daegu, 700-721, Republic of Korea. jonglee@knu.ac.kr.ORCID http://orcid.org/0000-0002-4163-913X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to compare an electrocardiogram (ECG)-gated four-dimensional (4D) phase-contrast (PC) magnetic resonance imaging (MRI) technique and computational fluid dynamics (CFD) using variables controlled in a laboratory environment to minimize bias factors. MATERIALS AND

methodsData from 4D PC-MRI were compared with computational fluid dynamics using steady and pulsatile flows at various inlet velocities. Anatomically realistic models for a normal aorta, a penetrating atherosclerotic ulcer, and an abdominal aortic aneurysm were constructed using a three-dimensional printer.

resultsFor the normal aorta model, the errors in the peak and the average velocities were within 5%. The peak velocities of the penetrating atherosclerotic ulcer and the abdominal aortic aneurysm models displayed a more extensive range of differences because of the high-speed and vortical fluid flows generated by the shape of the blood vessel. However, the average velocities revealed only relatively minor differences.

conclusionsThis study compared the characteristics of PC-MRI and CFD through a phantom study that only included controllable experimental parameters. Based on these results, 4D PC-MRI and CFD are powerful tools for analyzing blood flow patterns in vivo. However, there is room for future developments to improve velocity measurement accuracy.

Indexed as

Aortic Aneurysm, AbdominalHydrodynamicsAortaBlood Flow VelocityComputer SimulationHemodynamicsHumansImaging, Three-DimensionalMagnetic Resonance ImagingMagnetic Resonance SpectroscopyUlcerAbdominal aortaComputational fluid dynamicsHemodynamicsPC-MRI

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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.