Evidence map›Paper›PMID 26793288›Full record

ArticleIranian journal of radiology : a quarterly journal published by the Iranian Radiological Society2015

Velocity Measurement in Carotid Artery: Quantitative Comparison of Time-Resolved 3D Phase-Contrast MRI and Image-based Computational Fluid Dynamics.

Ali Sarrami-Foroushani, Mohsen Nasr Esfahany, Abbas Nasiraei Moghaddam, Hamidreza Saligheh Rad, Kavous Firouznia, Madjid Shakiba, Hossein Ghanaati, Iain David Wilkinson, Alejandro Federico Frangi

Open access · hybridAbstract read
In one paragraph

Article in Iranian journal of radiology : a quarterly journal published by the Iranian Radiological Society, 2015. 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
1.9field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Influence of Spatial Resolution in Three-dimensional Cine Phase Contrast Magnetic Resonance Imaging on the Accuracy of Hemodynamic Analysis.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2017
    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

9 authors at 4 institutions in 2 countries.

Ali Sarrami-ForoushaniDepartment of Chemical Engineering, Isfahan University of Technology, Isfahan, Iran.
Mohsen Nasr EsfahanyDepartment of Chemical Engineering, Isfahan University of Technology, Isfahan, Iran.
Abbas Nasiraei MoghaddamDepartment of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.
Hamidreza Saligheh RadMedical Physics and Biomedical Engineering Department, Tehran University of Medical Sciences, Tehran, Iran.
Kavous FirouzniaAdvanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran.
Madjid ShakibaAdvanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran.
Hossein GhanaatiAdvanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran.
Iain David WilkinsonAcademic Unit of Radiology, University of Sheffield, Sheffield, South Yorkshire, United Kingdom.
Alejandro Federico FrangiDepartment of Mechanical Engineering, The University of Sheffield, Sheffield, United Kingdom.
Tehran University of Medical Sciences · IRIsfahan University of Technology · IRUniversity of Sheffield · GBAmirkabir University of Technology · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding hemodynamic environment in vessels is important for realizing the mechanisms leading to vascular pathologies.

objectivesThree-dimensional velocity vector field in carotid bifurcation is visualized using TR 3D phase-contrast magnetic resonance imaging (TR 3D PC MRI) and computational fluid dynamics (CFD). This study aimed to present a qualitative and quantitative comparison of the velocity vector field obtained by each technique. SUBJECTS AND

methodsMR imaging was performed on a 30-year old male normal subject. TR 3D PC MRI was performed on a 3 T scanner to measure velocity in carotid bifurcation. 3D anatomical model for CFD was created using images obtained from time-of-flight MR angiography. Velocity vector field in carotid bifurcation was predicted using CFD and PC MRI techniques. A statistical analysis was performed to assess the agreement between the two methods.

resultsAlthough the main flow patterns were the same for the both techniques, CFD showed a greater resolution in mapping the secondary and circulating flows. Overall root mean square (RMS) errors for all the corresponding data points in PC MRI and CFD were 14.27% in peak systole and 12.91% in end diastole relative to maximum velocity measured at each cardiac phase. Bland-Altman plots showed a very good agreement between the two techniques. However, this study was not aimed to validate any of methods, instead, the consistency was assessed to accentuate the similarities and differences between Time-resolved PC MRI and CFD.

conclusionBoth techniques provided quantitatively consistent results of in vivo velocity vector fields in right internal carotid artery (RCA). PC MRI represented a good estimation of main flow patterns inside the vasculature, which seems to be acceptable for clinical use. However, limitations of each technique should be considered while interpreting results.

Indexed as

Carotid BifurcationFluid DynamicsTime-Resolved Three-Dimensional Phase-Contrast Magnetic Resonance Imaging (TR 3D PC MRI)

Identifiers

PMID26793288
PMCPMC4711029
OpenAlexW2203905448

What OpenQuestion holds

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LicenceCC BY-NC
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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.