Evidence map›Paper›PMID 28609457›Full record

ArticlePloS one2017

Robustness of common hemodynamic indicators with respect to numerical resolution in 38 middle cerebral artery aneurysms.

Øyvind Evju, Jose M Pozo, Alejandro F Frangi, Kent-Andre Mardal

Registry-linked trialAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05526352 (@neurIST), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

NCT05526352 recruitingnot on this map

@neurIST : Informatique biomédicale intégrée Pour la Gestion Des anévrismes cérébraux

Typeobservational_patient_registrySponsorUniversity Hospital, GenevaRan2015 to 2040Enrolled20,000ConditionsIntracranial Aneurysm
3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
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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

4 authors.

Øyvind EvjuCenter for Biomedical Computing, Simula Research Laboratory, Oslo, Norway.ORCID http://orcid.org/0000-0002-6153-5258
Jose M PozoCentre for Computational Imaging & Simulation Technologies in Biomedicine (CISTIB), Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, United Kingdom.
Alejandro F FrangiCentre for Computational Imaging & Simulation Technologies in Biomedicine (CISTIB), Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, United Kingdom.
Kent-Andre MardalCenter for Biomedical Computing, Simula Research Laboratory, Oslo, Norway.ORCID http://orcid.org/0000-0002-4946-1110

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUsing computational fluid dynamics (CFD) to compute the hemodynamics in cerebral aneurysms has received much attention in the last decade. The usability of these methods depends on the quality of the computations, highlighted in recent discussions. The purpose of this study is to investigate the convergence of common hemodynamic indicators with respect to numerical resolution.

methods38 middle cerebral artery bifurcation aneurysms were studied at two different resolutions (one comparable to most studies, and one finer). Relevant hemodynamic indicators were collected from two of the most cited studies, and were compared at the two refinements. In addition, correlation to rupture was investigated.

resultsMost of the hemodynamic indicators were very well resolved at the coarser resolutions, correlating with the finest resolution with a correlation coefficient >0.95. The oscillatory shear index (OSI) had the lowest correlation coefficient of 0.83. A logarithmic Bland-Altman plot revealed noticeable variations in the proportion of the aneurysm under low shear, as well as in spatial and temporal gradients not captured by the correlation alone.

conclusionStatistically, hemodynamic indicators agree well across the different resolutions studied here. However, there are clear outliers visible in several of the hemodynamic indicators, which suggests that special care should be taken when considering individual assessment.

Indexed as

HemodynamicsAlgorithmsCerebral AngiographyComputer SimulationHumansImage Processing, Computer-AssistedIntracranial AneurysmMiddle Cerebral ArteryModels, CardiovascularReproducibility of ResultsRupture, SpontaneousShear Strength

Identifiers

PMID28609457
PMCPMC5469453

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Registered trials

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.