Evidence map›Paper›PMID 41402572›Full record

ArticleCardiovascular engineering and technology2026

Computational Modeling of Flow in an in Vitro Cerebrovascular Model Under Pulsatile Conditions with Experimental Validation.

Boyang Su, Brent A Craven, Cody J Kubicki, Daniel Khalil, Scott D Simon, Keefe B Manning

Abstract readValidation Study
In one paragraph

Article in Cardiovascular engineering and technology, 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

6 authors.

Boyang SuDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA, USA.
Brent A CravenDepartment of Mechanical Engineering, Baylor University, Waco, TX, USA.
Cody J KubickiDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA, USA.
Daniel KhalilDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA, USA.
Scott D SimonDepartment of Neurosurgery, Penn State Hershey Medical Center, Hershey, PA, USA.
Keefe B ManningDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA, USA. kbm10@psu.edu.ORCID 0000-0001-9029-5217

Funding

Modeling of Acute Ischemic Stroke for Improving Mechanical ThrombectomyR01HL146921 · NHLBI · PENNSYLVANIA STATE UNIVERSITY, THE · PI Francesco Costanzo, Brent Craven · 2020 to 2026
$3.3M
Cross-Disciplinary Neural Engineering (CDNE) Training ProgramT32NS115667 · NINDS · PENNSYLVANIA STATE UNIVERSITY, THE · PI GLUCKMAN, BRUCE J · 2021 to 2025
$1.1M
Foundation for the National Institutes of Health 5T32NS115667Foundation for the National Institutes of Health HL146921NHLBI NIH HHS R01 HL146921NINDS NIH HHS T32 NS115667
6 · The paper itself

Abstract

purposeComputational fluid dynamics (CFD) has been widely used to understand various cardiovascular diseases such as acute ischemic stroke (AIS), which occurs when a blood clot lodges in the cerebrovasculature and obstructs blood flow that may lead to brain damage or death. Compared with medical imaging, CFD can predict hemodynamics and clot migration, which are crucial in better understanding the biomechanics of AIS. To rely on computational modeling, however, the simulations need to be validated by comparing with experiments

methodsIn this study, we develop an in vitro experimental model of pulsatile flow in the aorta and cerebrovasculature. The model was filled with a blood analog fluid and pulsatile flow was driven by a piston pump to generate realistic physiological flow conditions. Experimental measurements of the time-varying pressure and flow rate were acquired and are used to validate corresponding CFD simulations

resultsCFD predictions of the time-averaged pressure at the outlets are shown to be within 8% of the experimental measurements, while the time-averaged flow rate is within 1%.

conclusionsThis work demonstrates a promising capability for modeling embolus migration and lodging in the brain. Future work will validate simulations of clot migration that may be used to better understand AIS biomechanics and treatment options.

Indexed as

AortaCerebral ArteriesCerebrovascular CirculationComputer SimulationModels, CardiovascularPulsatile FlowAnimalsBlood Flow VelocityHumansHydrodynamicsReproducibility of ResultsTime FactorsAcute ischemic strokeCerebrovascular CFDEmbolus migrationImage-based modeling

Identifiers

PMID41402572
PMCPMC12746301

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.