Evidence map›Paper›PMID 39546636›Full record

ArticleMedical physics2025

Design, manufacturing, and multi-modal imaging of stereolithography 3D printed flexible intracranial aneurysm phantoms.

Alain Yalman, Arman Jafari, Étienne Léger, Michael-Anthony Mastroianni, Kowsar Teimouri, Houman Savoji, D Louis Collins, Lyes Kadem, Yiming Xiao

Abstract read
In one paragraph

Article in Medical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Development and Characteristics of a Dual-Layered Vascular Phantom.Cardiovascular engineering and technology · 2026
    Article
  3. Article
  4. 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.

Alain YalmanDepartment of Biology, Concordia University, Montréal, Québec, Canada.
Arman JafariInstitute of Biomedical Engineering, Department of Pharmacology and Physiology, Faculty of Medicine, University of Montreal, Montréal, Québec, Canada.
Étienne LégerMcConnell Brain Imaging Center, Montréal Neurological Institute, McGill University, Montréal, Québec, Canada.
Michael-Anthony MastroianniDepartment of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montréal, Québec, Canada.
Kowsar TeimouriDepartment of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montréal, Québec, Canada.
Houman SavojiInstitute of Biomedical Engineering, Department of Pharmacology and Physiology, Faculty of Medicine, University of Montreal, Montréal, Québec, Canada.
D Louis CollinsMcConnell Brain Imaging Center, Montréal Neurological Institute, McGill University, Montréal, Québec, Canada.
Lyes KademDepartment of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montréal, Québec, Canada.
Yiming XiaoDepartment of Computer Science and Software Engineering, Concordia University, Montréal, Québec, Canada.

Funding

Fonds de recherche du Québec Nature and Technologies (FRQNT) Team Research Project 2022-PR296459Natural Sciences and Engineering Research Council of Canada (NSERC) 550147
6 · The paper itself

Abstract

backgroundPhysical vascular phantoms are instrumental in studying intracranial aneurysms and testing relevant imaging tools and training systems to provide improved clinical care. Current vascular phantom production methods have major limitations in capturing the biophysical and morphological characteristics of intracranial aneurysms with good fidelity and multi-modal imaging capacity. With stereolithography (SLA) 3D printing technology becoming more accessible, newer flexible and transparent printing materials with higher precision controls open the door for improving the efficiency and quality of producing anthropomorphic vascular phantoms but have rarely been explored for the application. PURPOSE: This technical note intends to report the feasibility of using SLA 3D printing technology to manufacture flexible intracranial aneurysm phantoms with similar scales to the real anatomy, as well as their capacity for multi-modal flow imaging and analysis, including ultrasound flow imaging, high-speed filming, and particle image velocimetry analysis.

methodsWe designed and 3D-printed two intracranial aneurysm phantoms with an SLA 3D printer using Formlabs Elastic 50A resin. By using a micropump to introduce cyclical flows in the phantoms, we first employed conventional Doppler and vector flow ultrasonography to observe and measure different fluidic properties. Then, a high-speed camera was used to record particles flowing within the phantom, and we further conducted a particle image velocimetry analysis, including the distribution of mean 2D velocity vectors, average velocity magnitudes, and the mean vorticity fields in the phantom for the high-speed imaging data.

resultsWe successfully 3D-printed flexible intracranial aneurysm phantoms with similar dimensions to the real anatomy. Additionally, we validated the phantoms' ability to allow visualization, measurement, and analysis of flow dynamics based on both real-time ultrasound and optical imaging.

conclusionsOur proof-of-concept study illustrates that SLA 3D printing using commercial elastic resins can significantly contribute towards facilitating the fabrication of flexible intracranial aneurysms phantoms for training, research, and preoperative planning.

Indexed as

Intracranial AneurysmMultimodal ImagingPhantoms, ImagingPrinting, Three-DimensionalStereolithographyEquipment DesignHumans3D printinganeurysmflexible resinhigh‐speed cameraparticle image velocimetryphantomstereolithographyultrasound

Identifiers

PMID39546636
PMCPMC11788251

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.