Evidence map›Paper›PMID 39501466›Full record

ArticleInternational journal for numerical methods in biomedical engineering2024

Modeling Fibrin Accumulation on Flow-Diverting Devices for Intracranial Aneurysms.

Juan R Cebral, Fernando Mut, Rainald Löhner, Laurel Marsh, Alireza Chitsaz, Cem Bilgin, Esref Bayraktar, David Kallmes, Ramanathan Kadirvel

Abstract read
In one paragraph

Article in International journal for numerical methods in biomedical engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Modeling Perforator Occlusion After Flow Diversion.International journal for numerical methods in biomedical engineering · 2026
    Article
  3. Article
  4. Article
  5. 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.

Juan R CebralBioengineering Department, George Mason University, Fairfax, Virginia, USA.ORCID 0000-0002-3216-0856
Fernando MutBioengineering Department, George Mason University, Fairfax, Virginia, USA.ORCID 0000-0003-1907-3739
Rainald LöhnerPhysics Department, George Mason University, Fairfax, Virginia, USA.ORCID 0000-0003-0083-5131
Laurel MarshBioengineering Department, George Mason University, Fairfax, Virginia, USA.ORCID 0000-0003-0994-2646
Alireza ChitsazBioengineering Department, George Mason University, Fairfax, Virginia, USA.ORCID 0009-0004-2531-6498
Cem BilginDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Esref BayraktarDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0002-8245-2689
David KallmesDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Ramanathan KadirvelDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.

Funding

Computational and Biological Approach to Flow DiversionR01NS076491 · NINDS · MAYO CLINIC ROCHESTER · PI Juan R Cebral, DAVID F KALLMES · 2011 to 2026
$7.4M
NINDS NIH HHS R01 NS076491
6 · The paper itself

Abstract

The mechanisms leading to aneurysm occlusion after treatment with flow-diverting devices are not fully understood. Flow modification induces thrombus formation within the aneurysm cavity, but fibrin can simultaneously accumulate and cover the device scaffold, leading to further flow modification. However, the interplay and relative importance of these processes are not clearly understood. A computational model of fibrin accumulation and flow modification after flow diversion treatment of cerebral aneurysms has been developed under the guidance of in vitro experiments and observations. The model is based on the loose coupling of flow and transport-reaction equations that are solved separately by independent codes. Interaction or reactive terms account for thrombin production from prothrombin stimulated by thrombogenic metallic wires and inhibition by antithrombin as well as fibrin production from fibrinogen stimulated by thrombin and flow shear stress, and fibrin adhesion to device wires and already attached fibrin. The computational model was demonstrated and tested on idealized vessel and aneurysm geometries. The model was able to reproduce the salient features of fibrin accumulation after the deployment of flow-diverting devices in idealized in vitro models of cerebral aneurysms. Namely, fibrin production in regions of high shear stress, initial accumulation at the inflow zone, and progressive occlusion of the device and corresponding flow attenuation. The computational model linking flow dynamics to fibrin production, transport, and adhesion can be used to investigate and better understand the effects that lead to fibrin accumulation and the resulting aneurysm inflow reduction and intra-aneurysmal flow modulation.

Indexed as

FibrinIntracranial AneurysmComputer SimulationHumansModels, CardiovascularStress, MechanicalFibrincerebral aneurysmscouplingfibrin accumulationflow diversionthrombosis

Identifiers

PMID39501466
PMCPMC11618230

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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.