Evidence map›Paper›PMID 25082824›Full record

ArticleAJNR. American journal of neuroradiology2014

Intra-aneurysmal flow patterns: illustrative comparison among digital subtraction angiography, optical flow, and computational fluid dynamics.

O Brina, R Ouared, O Bonnefous, F van Nijnatten, P Bouillot, P Bijlenga, K Schaller, K-O Lovblad, T Grünhagen, D Ruijters and 1 more

Open access · hybridAbstract readComparative Study
In one paragraph

Article in AJNR. American journal of neuroradiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. What does computational fluid dynamics tell us about intracranial aneurysms? A meta-analysis and critical review.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2020
    Pooled it
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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

11 authors at 3 institutions in 2 countries.

O BrinaFrom the Interventional Neuroradiology Unit (O. Brina, R.O., P. Bouillot, K.-O.L., V.M.P.), Service of Neuroradiology.
R OuaredFrom the Interventional Neuroradiology Unit (O. Brina, R.O., P. Bouillot, K.-O.L., V.M.P.), Service of Neuroradiology.
O BonnefousMedisys Research Laboratory (O. Bonnefous).
F van NijnattenInterventional X-Ray (F.v.N., T.G., D.R.), Philips Healthcare, Zürich, Switzerland.
P BouillotFrom the Interventional Neuroradiology Unit (O. Brina, R.O., P. Bouillot, K.-O.L., V.M.P.), Service of Neuroradiology.
P BijlengaService of Neurosurgery (P. Bijlenga, K.S.), University of Geneva Hospitals and Faculty of Medicine, Geneva, Switzerland.
K SchallerService of Neurosurgery (P. Bijlenga, K.S.), University of Geneva Hospitals and Faculty of Medicine, Geneva, Switzerland.
K-O LovbladFrom the Interventional Neuroradiology Unit (O. Brina, R.O., P. Bouillot, K.-O.L., V.M.P.), Service of Neuroradiology.
T GrünhagenInterventional X-Ray (F.v.N., T.G., D.R.), Philips Healthcare, Zürich, Switzerland.
D RuijtersInterventional X-Ray (F.v.N., T.G., D.R.), Philips Healthcare, Zürich, Switzerland.
V Mendes PereiraFrom the Interventional Neuroradiology Unit (O. Brina, R.O., P. Bouillot, K.-O.L., V.M.P.), Service of Neuroradiology Division of Neuroradiology (V.M.P.), Department of Medical Imaging Division of Neurosurgery (V.M.P.), Department of Surgery, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada. vitormpbr@hotmail.com.
Tamedia (Switzerland) · CHUniversity of Geneva · CHUnisys (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeDigital subtraction angiography is the gold standard vascular imaging and it is used for all endovascular treatment of intracranial anerysms. Optical flow imaging has been described as a potential method to evaluate cerebral hemodynamics through DSA. In this study, we aimed to compare the flow patterns measured during angiography, by using an optical flow method, with those measured by using computational fluid dynamics in intracranial aneurysms. MATERIALS AND

methodsA consecutive series of 21 patients harboring unruptured saccular intracranial aneurysms who underwent diagnostic angiography before treatment was considered. High-frame-rate digital subtraction angiography was performed to obtain an intra-aneurysmal velocity field by following the cardiac-modulated contrast wave through the vascular structures by using optical flow principles. Additionally, computational fluid dynamics modeling was performed for every case by using patient-specific inlet-boundary conditions measured with the optical flow method from both DSA and 3D rotational angiography datasets. Three independent observers compared qualitatively both the inflow direction and the apparent recirculation in regular DSA, optical flow images, and computational fluid dynamics flow patterns for each patient; κ statistics were estimated.

resultsWe included 21 patients. In 14 of these 21, the flow patterns were conclusive and matching between the optical flow images and computational fluid dynamics within the same projection view (κ = .91). However, in only 8 of these 14 patients the optical flow images were conclusive and matching regular DSA images (observer κ = 0.87). In 7 of the 21 patients, the flow patterns in the optical flow images were inconclusive, possibly due to improper projection angles.

conclusionsThe DSA-based optical flow technique was considered qualitatively consistent with computational fluid dynamics outcomes in evaluating intra-aneurysmal inflow direction and apparent recirculation. Moreover, the optical flow technique may provide the premises for new solutions for improving the visibility of flow patterns when contrast motion in DSA is not apparent. This technique is a diagnostic method to evaluate intra-aneurysmal flow patterns and could be used in the future for validation and patient evaluation.

Indexed as

HydrodynamicsMathematical ComputingAgedAngiography, Digital SubtractionCerebral AngiographyFemaleHemodynamicsHumansIntracranial AneurysmMaleMiddle AgedSensitivity and SpecificityTomography, X-Ray Computed

Identifiers

PMID25082824
PMCPMC7965309
OpenAlexW1992748006

What OpenQuestion holds

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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.