Evidence map›Paper›PMID 28444501›Full record

ArticleHeart and vessels2017

Validation of numerical simulation methods in aortic arch using 4D Flow MRI.

Shohei Miyazaki, Keiichi Itatani, Toyoki Furusawa, Teruyasu Nishino, Masataka Sugiyama, Yasuo Takehara, Satoshi Yasukochi

Open access · hybridAbstract readValidation Study
In one paragraph

Article in Heart and vessels, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
5.1field-weighted citation impact, top 4% of its field
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

56 citing papers in PubMed, 114 citations in OpenAlex.

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  16. Virtual Planning and Patient-Specific Graft Design for Aortic Repairs.Cardiovascular engineering and technology · 2024
    Article
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  18. Differences in blood flow dynamics between balloon- and self-expandable valves in patients with aortic stenosis undergoing transcatheter aortic valve replacement.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2023
    Article
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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

7 authors at 3 institutions in 1 country.

Shohei MiyazakiCardio Flow Design, Inc., Chiyoda, Tokyo, Japan.
Keiichi ItataniCardio Flow Design, Inc., Chiyoda, Tokyo, Japan. keiichiitatani@gmail.com.
Toyoki FurusawaNEC Solution Innovators, Ltd., Koutou, Tokyo, Japan.
Teruyasu NishinoCardio Flow Design, Inc., Chiyoda, Tokyo, Japan.
Masataka SugiyamaDepartment of Radiology, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan.
Yasuo TakeharaDepartment of Radiology, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan.
Satoshi YasukochiDepartment of Pediatric Cardiology, Nagano Children's Hospital, Azumino, Nagano, Japan.
Hamamatsu University School of Medicine · JPKyoto Prefectural University · JPNagano Children's Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computational fluid dynamics (CFD) are the gold standard in studying blood flow dynamics. However, CFD results are dependent on the boundary conditions and the computation model. The purpose of this study was to validate CFD methods using comparison with actual measurements of the blood flow vector obtained with four-dimensional (4D) flow magnetic resonance imaging (MRI). 4D Flow MRI was performed on a healthy adult and a child with double-aortic arch. The aortic lumen was segmented to visualize the blood flow. The CFD analyses were performed for the same geometries based on three turbulent models: laminar, large eddy simulation (LES), and the renormalization group k-ε model (RNG k-ε). The flow-velocity vector components, namely the wall shear stress (WSS) and flow energy loss (EL), of the MRI and CFD results were compared. The flow rate of the MRI results was underestimated in small vessels, including the neck vessels. Spiral flow in the ascending aorta caused by the left ventricular twist was observed by MRI. Secondary flow distal to the aortic arch was well realized in both CFD and MRI. The average correlation coefficients of the velocity vector components of MRI and CFD for the child were the highest for the RNG k-ε model (0.530 in ascending aorta, 0.768 in the aortic arch, 0.584 in the descending aorta). The WSS and EL values of MRI were less than half of those of CFD, but the WSS distribution patterns were quite similar. The WSS and EL estimates were higher in RNG k-ε and LES than in the laminar model because of eddy viscosity. The CFD computation realized accurate flow distal to the aortic arch, and the WSS distribution was well simulated compared to actual measurement using 4D Flow MRI. However, the helical flow was not simulated in the ascending aorta. The accuracy was enhanced by using the turbulence model, and the RNG k-ε model showed the highest correlation with 4D Flow MRI.

Indexed as

Computer SimulationModels, CardiovascularStress, MechanicalAorta, ThoracicBlood Flow VelocityFemaleHealthy VolunteersHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMiddle AgedComputational fluid dynamicsFlow energy lossPhase-contrast MRIWall shear stress

Identifiers

PMID28444501
PMCPMC5519664
OpenAlexW2609145987

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.