Literature DB >> 28003104

Role of Simulation in Endovascular Aneurysm Repair (EVAR) Training: A Preliminary Study.

A Saratzis1, T Calderbank2, D Sidloff3, M J Bown3, R S Davies2.   

Abstract

BACKGROUND: Endovascular aneurysm repair (EVAR) requires a high-level of technical-competency to avoid device-related complications. Virtual reality simulation-based training (SBT) may offer an alternative method of psychomotor skill acquisition; however, its role in EVAR training is undefined. This study aimed to: a) benchmark competency levels using EVAR SBT, and b) investigate the impact of supervised SBT on trainee performance.
METHODS: EVAR procedure-related metrics were benchmarked by six experienced consultants using a Simbionix Angiomentor EVAR simulator. Sixteen vascular surgical trainees performing a comparable EVAR before and after structured SBT (>4 teaching sessions) were assessed utilising a modified Likert-scale score. These were benchmarked for comparison against the standard set by the consultant body.
RESULTS: Median procedural-time for consultants was 43.5 min (IQR 7.5). A significant improvement in trainee procedural-time following SBT was observed (median procedural time 77 min [IQR 20.75] vs. 56 min [IQR: 7.00], p < .0001). The mean (SD) trainee Likert score pre- and post-SBT improved (16.6 [SD 1.455] vs. 28.63 [SD 2.986], p < .0001). Fewer endoleaks were observed (p = .0063) and trainees chose an appropriately sized device more often after SBT.
CONCLUSION: This study suggests that EVAR-SBT should be considered as an adjunct to standard psychomotor skill teaching techniques for EVAR within the vascular surgery training curricula.
Copyright © 2016 European Society for Vascular Surgery. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Aneurysm; Endovascular; Simulation

Mesh:

Year:  2016        PMID: 28003104     DOI: 10.1016/j.ejvs.2016.11.016

Source DB:  PubMed          Journal:  Eur J Vasc Endovasc Surg        ISSN: 1078-5884            Impact factor:   7.069


  4 in total

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Authors:  Michael Chung; Norbert Radacsi; Colin Robert; Edward D McCarthy; Anthony Callanan; Noel Conlisk; Peter R Hoskins; Vasileios Koutsos
Journal:  3D Print Med       Date:  2018-01-17

2.  Virtual reality simulation of neuroendovascular intervention improves procedure speed in a cohort of trainees.

Authors:  Joseph Dardick; Stephanie Allen; Aleka Scoco; Richard L Zampolin; David J Altschul
Journal:  Surg Neurol Int       Date:  2019-09-20

Review 3.  Artificial vascular models for endovascular training (3D printing).

Authors:  Inez Torres; Nelson De Luccia
Journal:  Innov Surg Sci       Date:  2018-08-11

4.  A patient-specific multi-modality abdominal aortic aneurysm imaging phantom.

Authors:  Callum D Little; Eleanor C Mackle; Efthymios Maneas; Debra Chong; Daniil Nikitichev; Jason Constantinou; Janice Tsui; George Hamilton; Roby D Rakhit; Tara M Mastracci; Adrien E Desjardins
Journal:  Int J Comput Assist Radiol Surg       Date:  2022-04-10       Impact factor: 3.421

  4 in total

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