Evidence map›Paper›PMID 40496666›Full record

ArticleJournal of vascular surgery cases and innovative techniques2025

Optimizing cadaveric models for endovascular training through effective preparation techniques.

Christopher Ibarra, Alex D Contreras, Samantha Cervantes, Rebecca Barnes, Stuart J Corr, Alan B Lumsden, Maham Rahimi

Abstract read
In one paragraph

Article in Journal of vascular surgery cases and innovative techniques, 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

7 authors.

Christopher IbarraHouston Methodist Institute for Technology, Innovation, & Education, Houston, TX.
Alex D ContrerasFaculty of Health Science, Anahuac University Mexico, Huixquilucan, Mexico.
Samantha CervantesFaculty of Health Science, Anahuac University Mexico, Huixquilucan, Mexico.
Rebecca BarnesHouston Methodist Institute for Technology, Innovation, & Education, Houston, TX.
Stuart J CorrHouston Methodist Institute for Technology, Innovation, & Education, Houston, TX.
Alan B LumsdenHouston Methodist Institute for Technology, Innovation, & Education, Houston, TX.
Maham RahimiHouston Methodist Institute for Technology, Innovation, & Education, Houston, TX.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study highlights how a thorough preparation process is crucial to achieving successful cadaveric models for endovascular training. By sharing our descriptive report of procedural experiments and detailed preparation techniques, we demonstrate the importance of this process in creating high-fidelity models that enhance training effectiveness. Methods: Two fresh frozen cadavers (FFCs) were prepared for a high-fidelity vascular training model. Frozen at -20 °F, they were transported under refrigerated conditions and thawed over 3 days at 60 to 65 °F. Vascular patency was assessed using robotic C-arm imaging. A motorized pump simulated arterial hemodynamics, whereas manual perfusion enhanced cerebral visualization. Vascular access was established via femoral, carotid, and radial/ulnar arteries under ultrasound guidance. Procedures were performed in a hybrid operating room with advanced imaging. The model's effectiveness was evaluated through pulmonary thrombectomy in one cadaver and simulated ruptured abdominal aortic aneurysm repair in the other. Results: The cadaveric models demonstrated significant versatility, allowing for the successful replication of both a pulmonary embolism and a ruptured abdominal aortic aneurysm. High-quality visualization of major and distal arterial branches, including the Circle of Willis, was also achieved. Integrating manual perfusion and motorized pumping systems ensured vascular patency and realistic blood flow dynamics, making the models suitable for simulating real-life endovascular interventions. The study enhances the model's capability to support complex procedures, emphasizing its practical application in advanced training. Conclusions: This study establishes that preparing FFCs is promising for developing versatile and optimized models for endovascular training. Sharing our preparation techniques will allow other institutions to replicate these models to enhance their training programs. Continued improvements could make FFC models essential tools for training the next generation of endovascular specialists. Prior models have been created, and our institutional experience highlights the foundation of these techniques, whereas future studies will aim to test these models in trainees.

Indexed as

CadaverEducationEndovascular trainingVascular simulation

Identifiers

PMID40496666
PMCPMC12151174

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.