Literature DB >> 26704209

Simulation in Neurosurgery-A Brief Review and Commentary.

Mary In-Ping Huang Cobb1, Jeffrey M Taekman2, Ali R Zomorodi3, L Fernando Gonzalez3, Dennis A Turner3.   

Abstract

Neurosurgery is one of the most technically demanding and liable of all medical professionals. More than 75% of neurosurgical errors are deemed as preventable and technical in nature. Yet in a specialty that requires such high level of technical expertise, with large consequences for error, there are even fewer opportunities for residents in training to practice on the most complicated cases. Although there is no replacement for actual experiences in the operating room, interpersonal mentorship, coaching, and training, there is room to supplement residency education through simulation. Here we review the evidence to support surgical simulation, describe the strengths and weaknesses of existing technologies in direct neurosurgery specific and indirect simulation applications, and advocate for the development of more neurosurgery-specific applications using emerging kinetic technologies.
Copyright © 2015 Elsevier Inc. All rights reserved.

Keywords:  Haptic feedback; Neurostimulation; Neurosurgery simulation; Residency training; Technical skills education

Mesh:

Year:  2015        PMID: 26704209     DOI: 10.1016/j.wneu.2015.11.068

Source DB:  PubMed          Journal:  World Neurosurg        ISSN: 1878-8750            Impact factor:   2.104


  6 in total

1.  Crisis Management Simulation: Review of Current Experience.

Authors:  Coulter Small; Divine Nwafor; Devan Patel; Fakhry Dawoud; Abeer Dagra; Jeremy Ciporen; Brandon Lucke-Wold
Journal:  SunText Rev Neurosci Psychol       Date:  2021-03-27

Review 2.  Data-Driven Residency Training: A Scoping Review of Educational Interventions for Neurosurgery Residency Programs.

Authors:  Patrick D Kelly; Aaron M Yengo-Kahn; Steven G Roth; Scott L Zuckerman; Rohan V Chitale; John C Wellons; Lola B Chambless
Journal:  Neurosurgery       Date:  2021-10-13       Impact factor: 5.315

3.  Development and initial evaluation of a novel simulation model for comprehensive brain tumor surgery training.

Authors:  Anne Sophie Grosch; Timo Schröder; Torsten Schröder; Julia Onken; Thomas Picht
Journal:  Acta Neurochir (Wien)       Date:  2020-05-08       Impact factor: 2.216

Review 4.  Review of Three-Dimensional Human-Computer Interaction with Focus on the Leap Motion Controller.

Authors:  Daniel Bachmann; Frank Weichert; Gerhard Rinkenauer
Journal:  Sensors (Basel)       Date:  2018-07-07       Impact factor: 3.576

Review 5.  Evaluation of simulation models in neurosurgical training according to face, content, and construct validity: a systematic review.

Authors:  Shreya Chawla; Sharmila Devi; Paola Calvachi; William B Gormley; Roberto Rueda-Esteban
Journal:  Acta Neurochir (Wien)       Date:  2022-02-04       Impact factor: 2.816

6.  In vivo goat brain model for neurosurgical training.

Authors:  Keisuke Onoda; Ren Fujiwara; Ryohei Sashida; Yu Hirokawa; Tomihiro Wakamiya; Yuhei Michiwaki; Tatsuya Tanaka; Kazuaki Shimoji; Eiichi Suehiro; Fumitaka Yamane; Masatou Kawashima; Akira Matsuno
Journal:  Surg Neurol Int       Date:  2022-08-05
  6 in total

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