Evidence map›Paper›PMID 41366412›Full record

ArticleBMC medical education2025

Development of a 3D transparent aortic model as a radiation-free training simulator for basic skills of endovascular aortic interventions.

Ahmed Ghazy, Husain Jaber, Mohamed Albitar, Philipp Pfeiffer, Jan Beer, Marta Medina, Hendrik Treede, Ryan Chaban

Abstract read
In one paragraph

Article in BMC medical education, 2025. 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

8 authors.

Ahmed GhazyDepartment of Cardio-Vascular Surgery, University Hospital of Johannes Gutenberg University, Mainz, Germany. ahmed.ghazy@unimedizin-mainz.de.
Husain JaberDepartment of Cardio-Vascular Surgery, University Hospital of Johannes Gutenberg University, Mainz, Germany.
Mohamed AlbitarDepartment of Cardio-Vascular Surgery, University Hospital of Johannes Gutenberg University, Mainz, Germany.
Philipp PfeifferDepartment of Cardio-Vascular Surgery, University Hospital of Johannes Gutenberg University, Mainz, Germany.
Jan BeerDepartment of Cardio-Vascular Surgery, University Hospital of Johannes Gutenberg University, Mainz, Germany.
Marta MedinaDepartment of Cardio-Vascular Surgery, University Hospital of Johannes Gutenberg University, Mainz, Germany.
Hendrik TreedeDepartment of Cardio-Vascular Surgery, University Hospital of Johannes Gutenberg University, Mainz, Germany.
Ryan ChabanDepartment of Cardio-Vascular Surgery, University Hospital of Johannes Gutenberg University, Mainz, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEndovascular aortic repair (EVAR) are gradually replacing open surgical repair for aortic diseases, due to their minimally invasive nature. These procedures require a high level of expertise that is gained through extensive clinical experience, posing risks such as prolonged radiation exposure. Training on 3D-printed simulation models can offer safer environment for learning & improve procedural precision & outcome.

methodA single-center study to evaluate whether training on radiation-free three-dimensional (3D) printed aortic training models can reduce the time required from vascular surgeons to complete the basic endovascular navigation tasks, such as navigating the guide wire & probing the different branches. We involved 15 vascular doctors, 8 in-experienced (group1) & 7-experienced (group2). Participants received a 15-min lecture on aortic interventions and guide wire handling. Two self-made 3D printed training models were used. Models either are of the entire aorta (ascending to iliacs, see model1) or thoracoabdominal aorta (model2) were used. A covering box and a camera positioned above the aortic model that mirror the intervention on a monitor, simulating the indirect vision of the intraoperative fluoroscopy. Participants were required to probe and intubate four aortic branches (two renal arteries, coeliac trunk, & superior mesenteric artery) in three steps: initial assessment, 15-min training, & post-training assessment (next day). Task completion times were recorded & analyzed.

resultsGroup1 initially required 914 ± 420 s to intubate four ostia, which significantly decreased to 149 ± 48 s post-training (p = 0.001). Experts showed no significant time reductions following the training (p = 0.443). Initial times were significantly lower for Group2 (p = 0.002), but post-training times showed no significant difference between both groups (p = 0.134).

conclusionUsing 3D-printed models in a simulation-training may help to familiarize & train participants with endovascular aortic procedures within limited material costs, leading to significant reductions in task completion time among trainees. Additionally, a significant reduction in simulated visualization time was observed, suggesting potential for reduced fluoroscopy exposure in real procedures.

trial registrationThe institutional ethics committee of the University Hospital of Mainz approved this study.

Indexed as

AortaClinical CompetenceEndovascular Aneurysm RepairEndovascular ProceduresModels, AnatomicPrinting, Three-DimensionalSimulation TrainingHumans3D modelEndovascular aortic repairMedical educationSurgical simulatorsTraining

Identifiers

PMID41366412
PMCPMC12801418

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.