Evidence map›Paper›PMID 42619559›Full record

ArticleInternational journal for numerical methods in biomedical engineering2026

Modeling Perforator Occlusion After Flow Diversion.

Laurel Marsh, Fernando Mut, Esref Bayraktar, Daying Dai, Julien Ognard, Jonathan Cortese, David Kallmes, Ramanathan Kadirvel, Juan R Cebral

Abstract read
In one paragraph

Article in International journal for numerical methods in biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Laurel MarshBioengineering Department, George Mason University, Fairfax, Virginia, USA.ORCID https://orcid.org/0000-0003-0994-2646
Fernando MutBioengineering Department, George Mason University, Fairfax, Virginia, USA.ORCID https://orcid.org/0000-0003-1907-3739
Esref BayraktarDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0002-8245-2689
Daying DaiDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0003-4051-6450
Julien OgnardLATIM, INSERM UMR1101, CHU Brest, University of Brest, Brest, France.ORCID https://orcid.org/0000-0003-4495-7464
Jonathan CorteseNeuri Vascular Center-Neurodiology Department, Bicêtre University Hospital, Le Kremlin-Bicêtre, France.
David KallmesDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Ramanathan KadirvelDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0002-6786-9953
Juan R CebralBioengineering Department, George Mason University, Fairfax, Virginia, USA.ORCID https://orcid.org/0000-0002-3216-0856

Funding

Computational and Biological Approach to Flow DiversionR01NS076491 · NINDS · MAYO CLINIC ROCHESTER · PI Juan R Cebral, DAVID F KALLMES · 2011 to 2026
$7.4M
NIH HHS R01NS76491-12NINDS NIH HHS R01 NS076491Travis C. Valentine Memorial Fund
6 · The paper itself

Abstract

Endoluminal flow diverters are increasingly used to treat cerebral aneurysms. Despite good aneurysm occlusion efficacy, delayed ischemic complications due to side branch or perforator occlusion remain a serious concern. However, the mechanisms leading to side branch occlusion are poorly understood. To investigate these mechanisms, a combination of animal and computational models was utilized. Flow diverters were deployed in four rabbit superior mesenteric artery (SMA) and studied with computational fluid dynamics (CFD) and a previously developed fibrin dynamics model. Subject-specific vascular models were reconstructed from 3D rotational angiography images and flow conditions were derived from Doppler ultrasound velocity measurements. Flow diverting devices were virtually deployed within the vascular models under guidance from angiography images. Coupled flow and fibrin production, transport, and adhesion simulations were carried out and the effects of fibrin accumulation at the origin of jailed side branches after flow diverter implantation were analyzed. The results of the computational models suggest significant fibrin accumulation across the struts of all flow diverting devices jailing side branches. Larger accumulation was observed at the more distal branches. However, minor flow alterations were produced which were not detectable in angiography sequences. These results were in agreement with experimental observations. On the other hand, fibrin accumulation alone did not explain complete side branch occlusions, which are likely the result of the interaction between initial fibrin accumulation and subsequent cell migration from the peripheral parent artery.

Indexed as

Models, CardiovascularAngiographyAnimalsBlood Flow VelocityComputer SimulationFibrinHydrodynamicsIntracranial AneurysmMesenteric Artery, SuperiorRabbitsFibrincerebral aneurysmscomputational modelingfibrin accumulationflow divertersperforator occlusion

Identifiers

PMID42619559
PMCPMC13491006

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.