Definition of Proficiency Level by a Virtual Simulator as a First Step Toward a Curriculum on Fundamental Skills for Endovascular Aneurysm Repair (EVAR).

EVAR curriculum EVAR simulation Interpersonal and Communication Skills Medical Knowledge Patient Care Practice-Based Learning and Improvement Professionalism Proficiency-based curriculum Systems-Based Practice

Journal

Journal of surgical education
ISSN: 1878-7452
Titre abrégé: J Surg Educ
Pays: United States
ID NLM: 101303204

Informations de publication

Date de publication:
Historique:
received: 22 11 2019
revised: 16 04 2020
accepted: 18 04 2020
pubmed: 12 6 2020
medline: 22 6 2021
entrez: 12 6 2020
Statut: ppublish

Résumé

At present, there is no proficiency-based curriculum for endovascular treatment of aortic aneurysm repair (EVAR) using virtual reality (VR) surgical simulators, whereas such curricula are available for the treatment of iliac and/or superficial femoral artery disease. The purpose of this work was to compute proficiency, defined by a benchmark level determined by the performance of experts, using a commercial VR simulator as a first step of a curriculum on EVAR. Expert endovascular surgeons (with more than 150 EVAR cases as first operators) from 12 major Italian centers completed three cases of EVAR of increasing difficulty level 3 times each, using the Angio Mentor simulator (by Simbionix) and Gore devices. Proficiency level was based on performance of expert surgeons, as assessed by metrics from a VR simulator. The participating surgeons had a median of 20 years of experience and executed a median of 440 EVAR. For the 3 simulated cases, the following proficiency values were respectively obtained: total procedure time: 22 minutes 32 seconds, 23 minutes 05 seconds, and 20 minutes 32 seconds; total amount of contrast injected: 85.16 mL, 89.97 mL, and 98.01 mL total fluoroscopy time: 10 minutes 39 seconds, 12 minutes 22 seconds, and 10 minutes 17 seconds; time to contralateral gate cannulation: 5 minutes 51 seconds, 7 minutes 09 seconds, and 3 minutes 32 seconds. We computed proficiency levels for 3 simulated cases of EVAR using a VR simulator. Our next step is to determine whether surgical residents can reach this level. Translational research will then be required to assess the impact of such training on real patients.

Identifiants

pubmed: 32522561
pii: S1931-7204(20)30130-6
doi: 10.1016/j.jsurg.2020.04.015
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1592-1597

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2020 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

Auteurs

Andrea Moglia (A)

EndoCAS, Center for Computer-Assisted Surgery, Department of Translational Research and New Surgical and Medical Technologies, University of Pisa, Pisa, Italy. Electronic address: andrea.moglia@endocas.org.

Roberta Piazza (R)

EndoCAS, Center for Computer-Assisted Surgery, Department of Translational Research and New Surgical and Medical Technologies, University of Pisa, Pisa, Italy; Department of Information Engineering, University of Pisa, Pisa, Italy.

Davide Maria Mocellin (DM)

Vascular Surgery Unit, Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Pisa, Italy.

Vincenzo Ferrari (V)

EndoCAS, Center for Computer-Assisted Surgery, Department of Translational Research and New Surgical and Medical Technologies, University of Pisa, Pisa, Italy; Department of Information Engineering, University of Pisa, Pisa, Italy.

Giuseppe Campanelli (G)

Department of Law, University of Pisa, Pisa, Italy.

Mauro Ferrari (M)

EndoCAS, Center for Computer-Assisted Surgery, Department of Translational Research and New Surgical and Medical Technologies, University of Pisa, Pisa, Italy; Vascular Surgery Unit, Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Pisa, Italy.

Raffaella Berchiolli (R)

Vascular Surgery Unit, Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Pisa, Italy.

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