Evidence map›Paper›PMID 42837037›Full record

ArticleNeuroinformatics2026

A Visual Support System for Stent-Assisted Treatment of Cerebral Aneurysms Using 3D Imaging and Augmented Reality.

Wojciech Chmiel, Piotr Szwed, Joanna Kwiecień, Michał Turek, Stanisław Jȩdrusik, Dariusz Pałka, Mikołaj Waśniewski, Piotr Kadłuczka, Damian Gumiela, Andrzej Zeja

Abstract read
In one paragraph

Article in Neuroinformatics, 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

10 authors.

Wojciech ChmielAGH University of Krakow, Al. Mickiewicza 30, Kraków, 30-059, Poland. wch@agh.edu.pl.ORCID https://orcid.org/0000-0002-4773-9123
Piotr Szwed *AGH University of Krakow, Al. Mickiewicza 30, Kraków, 30-059, Poland.
Joanna Kwiecień *AGH University of Krakow, Al. Mickiewicza 30, Kraków, 30-059, Poland.
Michał Turek *AGH University of Krakow, Al. Mickiewicza 30, Kraków, 30-059, Poland.
Stanisław Jȩdrusik *AGH University of Krakow, Al. Mickiewicza 30, Kraków, 30-059, Poland.
Dariusz Pałka *AGH University of Krakow, Al. Mickiewicza 30, Kraków, 30-059, Poland.
Mikołaj Waśniewski *AGH University of Krakow, Al. Mickiewicza 30, Kraków, 30-059, Poland.
Piotr Kadłuczka *AGH University of Krakow, Al. Mickiewicza 30, Kraków, 30-059, Poland.
Damian Gumiela *AGH University of Krakow, Al. Mickiewicza 30, Kraków, 30-059, Poland.
Andrzej Zeja *AGH University of Krakow, Al. Mickiewicza 30, Kraków, 30-059, Poland.

Funding

Polish Ministry of Education and Science funds assigned to AGH University of Krakow, and further by program "Excellence initiative-research university" for the AGH University of Krakow UMO-2021/01/2/ST6/00004 and ARTIQ/0004/2021
6 · The paper itself

Abstract

Precise visualization of vascular structures is crucial for planning and performing stent-assisted interventions in cerebral aneurysms. Traditional 2D imaging frequently lacks sufficient spatial information, which restricts clinicians' ability to evaluate vessel morphology, branching patterns, and how stents would interact with the vessel wall. This paper introduces an integrated visual support platform that unites workflow-driven medical image processing, numerical simulation of stent deployment, and augmented reality (AR) visualization via Microsoft HoloLens. The platform features a configurable workflow engine to handle medical data processing covering: vessel segmentation, medial-axis computation, mesh creation, and region-of-interest definition, followed by interactive simulation of stent expansion using computationally efficient approximation techniques. The resulting 3D models of the vasculature and stent are displayed in a dedicated AR environment that supports gesture-based interaction, real-time stent adjustment, and immersive navigation inside the vessels. This system provides intraoperative decision support by enabling clinicians to analyze stent placement, aneurysm coverage, and possible geometric limitations, and it also supports replay of simulations for training and educational purposes. The work shows that integrating 3D imaging, numerical modeling of stent-vessel interactions, and augmented reality can markedly improve precision, safety, and situational awareness in neurointerventional procedures.

Indexed as

Augmented RealityImaging, Three-DimensionalIntracranial AneurysmStentsComputer SimulationHumans3D modellingAugmented realityCerebral aneurysmNeurosurgeryStent-assisting procedureStent fittingWorkflow of treatment aneurysm

Identifiers

PMID42837037
PMCPMC13642533

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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.