Evidence map›Paper›PMID 40933653›Full record

ArticleJournal of vascular surgery cases and innovative techniques2025

Cadaveric training model for the endovascular management of type B aortic dissection.

Peter Osztrogonacz, Daanish Sheikh, Dylan Brooks, Bahar Alasti, Paul Haddad, Rebecca Barnes, Stuart J Corr, Alan B Lumsden, Kamal Safadi, Robert Burns and 1 more

Abstract read
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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.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Peter OsztrogonaczDepartment of Cardiovascular Surgery, Houston Methodist Hospital, Houston, TX.
Daanish SheikhLong School of Medicine, UT Health San Antonio, San Antonio, TX.
Dylan BrooksDepartment of Cardiovascular Surgery, Houston Methodist Hospital, Houston, TX.
Bahar AlastiDepartment of Kinesiology, McMaster University, Hamilton, Ontario, Canada.
Paul HaddadDepartment of Cardiovascular Surgery, Houston Methodist Hospital, Houston, TX.
Rebecca BarnesDepartment of Cardiovascular Surgery, Houston Methodist Hospital, Houston, TX.
Stuart J CorrDepartment of Cardiovascular Surgery, Houston Methodist Hospital, Houston, TX.
Alan B LumsdenDepartment of Cardiovascular Surgery, Houston Methodist Hospital, Houston, TX.
Kamal SafadiLong School of Medicine, UT Health San Antonio, San Antonio, TX.
Robert BurnsLong School of Medicine, UT Health San Antonio, San Antonio, TX.
Maham RahimiDepartment of Cardiovascular Surgery, Houston Methodist Hospital, Houston, TX.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The surgical management of type-B aortic dissection (TBAD) poses considerable technical challenges, necessitating meticulous planning and precise execution. In an effort to enhance the proficiency of trainees in the management of TBAD through thoracic aortic endovascular repair, we have developed a cadaveric TBAD training model. Methods: We conducted a feasibility test using a plastic tube designed to simulate the basic anatomical characteristics of the aorta. To access the interior of the tube, we introduced a 26 Fr and a 5 Fr sheath at each end. Employing a soft glidewire, we fashioned a proximal loop around the proximal segment of a Dacron graft (DG). Subsequently, a distal loop was created at the distal end of the DG using a glidewire. The DG was then carefully maneuvered through the 26 Fr sheath within the simulated "aorta" by traction on the distal end of the proximal loop, which extended outward from the 5 Fr sheath. Finally, visualization of the DG within the "aorta" was achieved using an intravascular ultrasound catheter. This methodology was subsequently replicated in a cadaveric model, as detailed in the following section. Results: The in vitro feasibility test substantiated the viability of the devised concept for TBAD model creation. Encouraged by these findings, we proceeded to establish a cadaveric TBAD model. Access was gained to the left common carotid and right common femoral arteries, facilitating the placement of an undersized DG distal to the left subclavian artery, employing the previously described methodology. Completion angiography verified the successful creation of the TBAD model. In the conclusive phase, a Gore cTAG endograft was deployed distal to the left subclavian artery. Conclusions: The presented model not only demonstrated the feasibility of our conceptual approach for TBAD training model creation but also underscored the potential reproducibility of a cadaveric TBAD model. This innovative educational tool holds promise for effectively instructing vascular trainees in the intricate nuances of surgical management for TBAD.

Indexed as

AtherosclerosisEndovascularRenal transplant

Identifiers

PMID40933653
PMCPMC12419006

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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.