Literature DB >> 28931258

Simulation-based Education for Endoscopic Third Ventriculostomy: A Comparison Between Virtual and Physical Training Models.

Gerben E Breimer1,2,3, Faizal A Haji4,5,6, Vivek Bodani1,2, Melissa S Cunningham7, Adriana-Lucia Lopez-Rios7, Allan Okrainec7,8, James M Drake1,2.   

Abstract

BACKGROUND: The relative educational benefits of virtual reality (VR) and physical simulation models for endoscopic third ventriculostomy (ETV) have not been evaluated "head to head."
OBJECTIVE: To compare and identify the relative utility of a physical and VR ETV simulation model for use in neurosurgical training.
METHODS: Twenty-three neurosurgical residents and 3 fellows performed an ETV on both a physical and VR simulation model. Trainees rated the models using 5-point Likert scales evaluating the domains of anatomy, instrument handling, procedural content, and the overall fidelity of the simulation. Paired t tests were performed for each domain's mean overall score and individual items.
RESULTS: The VR model has relative benefits compared with the physical model with respect to realistic representation of intraventricular anatomy at the foramen of Monro (4.5, standard deviation [SD] = 0.7 vs 4.1, SD = 0.6; P = .04) and the third ventricle floor (4.4, SD = 0.6 vs 4.0, SD = 0.9; P = .03), although the overall anatomy score was similar (4.2, SD = 0.6 vs 4.0, SD = 0.6; P = .11). For overall instrument handling and procedural content, the physical simulator outperformed the VR model (3.7, SD = 0.8 vs 4.5; SD = 0.5, P < .001 and 3.9; SD = 0.8 vs 4.2, SD = 0.6; P = .02, respectively). Overall task fidelity across the 2 simulators was not perceived as significantly different.
CONCLUSION: Simulation model selection should be based on educational objectives. Training focused on learning anatomy or decision-making for anatomic cues may be aided with the VR simulation model. A focus on developing manual dexterity and technical skills using endoscopic equipment in the operating room may be better learned on the physical simulation model.
Copyright © 2016 by the Congress of Neurological Surgeons

Keywords:  Medical education; Neuroendoscopy; Neurosurgery; Simulation; Surgical evaluation; Surgical training; Virtual reality

Mesh:

Year:  2017        PMID: 28931258     DOI: 10.1227/NEU.0000000000001317

Source DB:  PubMed          Journal:  Oper Neurosurg (Hagerstown)        ISSN: 2332-4252            Impact factor:   2.703


  6 in total

Review 1.  Digital tools in neurosurgical pathways: considerations for the future.

Authors:  Alexander J Deighton; Karanjot Chhatwal; Debashish Das
Journal:  Future Healthc J       Date:  2022-03

2.  3D-Printed Disease Models for Neurosurgical Planning, Simulation, and Training.

Authors:  Chul-Kee Park
Journal:  J Korean Neurosurg Soc       Date:  2022-06-28

Review 3.  The Opportunities and Challenges of Digital Anatomy for Medical Sciences: Narrative Review.

Authors:  Nilmini Wickramasinghe; Bruce R Thompson; Junhua Xiao
Journal:  JMIR Med Educ       Date:  2022-05-20

4.  Simulation in Neurosurgical Education During the COVID-19 Pandemic and Beyond.

Authors:  Faizal A Haji
Journal:  Can J Neurol Sci       Date:  2020-10-20       Impact factor: 2.104

Review 5.  Extended Reality in Neurosurgical Education: A Systematic Review.

Authors:  Alessandro Iop; Victor Gabriel El-Hajj; Maria Gharios; Andrea de Giorgio; Fabio Marco Monetti; Erik Edström; Adrian Elmi-Terander; Mario Romero
Journal:  Sensors (Basel)       Date:  2022-08-14       Impact factor: 3.847

6.  External Ventricular Drain (EVD) Placement Using a Hands-On Training Session on a Simple Three-Dimensional (3D) Model.

Authors:  Stacey Podkovik; Tye Patchana; Saman Farr; James Brazdzionis; Max Marino; Paras Savla; Samir Kashyap; Brian Chin; Andrew Crouch; Dan E Miulli
Journal:  Cureus       Date:  2022-08-14
  6 in total

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