Evidence map›Paper›PMID 27405312›Full record

ArticleJournal of neurointerventional surgery2017

Computational fluid dynamics of cerebral aneurysm coiling using high-resolution and high-energy synchrotron X-ray microtomography: comparison with the homogeneous porous medium approach.

Michael R Levitt, Michael C Barbour, Sabine Rolland du Roscoat, Christian Geindreau, Venkat K Chivukula, Patrick M McGah, John D Nerva, Ryan P Morton, Louis J Kim, Alberto Aliseda

Open access · greenAbstract readComparative Study
In one paragraph

Article in Journal of neurointerventional surgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 38 citations in OpenAlex.

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  14. Reconstructing patient-specific cerebral aneurysm vasculature for in vitro investigations and treatment efficacy assessments.Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia · 2019
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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

10 authors at 2 institutions in 2 countries.

Michael R LevittDepartment of Neurological Surgery, University of Washington, Seattle, Washington, USA.
Michael C BarbourDepartment of Mechanical Engineering, University of Washington, Seattle, Washington, USA.
Sabine Rolland du RoscoatLaboratoire 3SR, UMR 5521, CNRS, Université Grenoble Alpes, Grenoble INP, Grenoble, France.
Christian GeindreauLaboratoire 3SR, UMR 5521, CNRS, Université Grenoble Alpes, Grenoble INP, Grenoble, France.
Venkat K ChivukulaDepartment of Mechanical Engineering, University of Washington, Seattle, Washington, USA.ORCID http://orcid.org/0000-0002-8457-8509
Patrick M McGahDepartment of Mechanical Engineering, University of Washington, Seattle, Washington, USA.
John D NervaDepartment of Neurological Surgery, University of Washington, Seattle, Washington, USA.
Ryan P MortonDepartment of Neurological Surgery, University of Washington, Seattle, Washington, USA.
Louis J KimDepartment of Neurological Surgery, University of Washington, Seattle, Washington, USA.
Alberto AlisedaDepartment of Neurological Surgery, University of Washington, Seattle, Washington, USA.
University of Washington · USInstitut polytechnique de Grenoble · FR

Funding

Predicting cerebral aneurysm recurrence using Doppler guidewire measurementsR01NS088072 · NINDS · UNIVERSITY OF WASHINGTON · PI KIM, LOUIS JOONG · 2014 to 2018
$1.7M
Doppler flow wires and hemodynamics in intracranial aneurysmsR03NS078539 · NINDS · UNIVERSITY OF WASHINGTON · PI KIM, LOUIS JOONG · 2012 to 2013
$152k
NINDS NIH HHS R01 NS088072NINDS NIH HHS R03 NS078539
6 · The paper itself

Abstract

backgroundComputational modeling of intracranial aneurysms provides insights into the influence of hemodynamics on aneurysm growth, rupture, and treatment outcome. Standard modeling of coiled aneurysms simplifies the complex geometry of the coil mass into a homogeneous porous medium that fills the aneurysmal sac. We compare hemodynamics of coiled aneurysms modeled from high-resolution imaging with those from the same aneurysms modeled following the standard technique, in an effort to characterize sources of error from the simplified model. MATERIALS: Physical models of two unruptured aneurysms were created using three-dimensional printing. The models were treated with coil embolization using the same coils as those used in actual patient treatment and then scanned by synchrotron X-ray microtomography to obtain high-resolution imaging of the coil mass. Computational modeling of each aneurysm was performed using patient-specific boundary conditions. The coils were modeled using the simplified porous medium or by incorporating the X-ray imaged coil surface, and the differences in hemodynamic variables were assessed.

resultsX-ray microtomographic imaging of coils and incorporation into computational models were successful for both aneurysms. Porous medium calculations of coiled aneurysm hemodynamics overestimated intra-aneurysmal flow, underestimated oscillatory shear index and viscous dissipation, and over- or underpredicted wall shear stress (WSS) and WSS gradient compared with X-ray-based coiled computational fluid dynamics models.

conclusionsComputational modeling of coiled intracranial aneurysms using the porous medium approach may inaccurately estimate key hemodynamic variables compared with models incorporating high-resolution synchrotron X-ray microtomographic imaging of complex aneurysm coil geometry.

Indexed as

Computer SimulationHydrodynamicsPrinting, Three-DimensionalSynchrotronsBlood Vessel ProsthesisEndovascular ProceduresHemodynamicsHumansIntracranial AneurysmPorosityX-Ray MicrotomographyAneurysmBlood FlowCoilCTMaterial

Identifiers

PMID27405312
PMCPMC5376237
OpenAlexW2465924486

What OpenQuestion holds

Textmetadata
LicenceTDM
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.