Literature DB >> 32944808

Simulation for skills training in neurosurgery: a systematic review, meta-analysis, and analysis of progressive scholarly acceptance.

Joseph Davids1,2, Susruta Manivannan3, Ara Darzi4, Stamatia Giannarou4, Hutan Ashrafian4, Hani J Marcus5,4.   

Abstract

At a time of significant global unrest and uncertainty surrounding how the delivery of clinical training will unfold over the coming years, we offer a systematic review, meta-analysis, and bibliometric analysis of global studies showing the crucial role simulation will play in training. Our aim was to determine the types of simulators in use, their effectiveness in improving clinical skills, and whether we have reached a point of global acceptance. A PRISMA-guided global systematic review of the neurosurgical simulators available, a meta-analysis of their effectiveness, and an extended analysis of their progressive scholarly acceptance on studies meeting our inclusion criteria of simulation in neurosurgical education were performed. Improvement in procedural knowledge and technical skills was evaluated. Of the identified 7405 studies, 56 studies met the inclusion criteria, collectively reporting 50 simulator types ranging from cadaveric, low-fidelity, and part-task to virtual reality (VR) simulators. In all, 32 studies were included in the meta-analysis, including 7 randomised controlled trials. A random effects, ratio of means effects measure quantified statistically significant improvement in procedural knowledge by 50.2% (ES 0.502; CI 0.355; 0.649, p < 0.001), technical skill including accuracy by 32.5% (ES 0.325; CI - 0.482; - 0.167, p < 0.001), and speed by 25% (ES - 0.25, CI - 0.399; - 0.107, p < 0.001). The initial number of VR studies (n = 91) was approximately double the number of refining studies (n = 45) indicating it is yet to reach progressive scholarly acceptance. There is strong evidence for a beneficial impact of adopting simulation in the improvement of procedural knowledge and technical skill. We show a growing trend towards the adoption of neurosurgical simulators, although we have not fully gained progressive scholarly acceptance for VR-based simulation technologies in neurosurgical education.
© 2020. The Author(s).

Entities:  

Keywords:  Augmented reality; Meta-analysis; Neurosurgery; Progressive scholarly acceptance; Simulation; Virtual reality

Year:  2020        PMID: 32944808     DOI: 10.1007/s10143-020-01378-0

Source DB:  PubMed          Journal:  Neurosurg Rev        ISSN: 0344-5607            Impact factor:   3.042


  74 in total

1.  Virtual endoscopy for planning and simulation of minimally invasive neurosurgery.

Authors:  L M Auer; D P Auer
Journal:  Neurosurgery       Date:  1998-09       Impact factor: 4.654

2.  Virtual Reality Angiogram vs 3-Dimensional Printed Angiogram as an Educational tool-A Comparative Study.

Authors:  David Bairamian; Shinuo Liu; Behzad Eftekhar
Journal:  Neurosurgery       Date:  2019-08-01       Impact factor: 4.654

3.  Fundamentals of neurosurgery: virtual reality tasks for training and evaluation of technical skills.

Authors:  Nusrat Choudhury; Nicholas Gélinas-Phaneuf; Sébastien Delorme; Rolando Del Maestro
Journal:  World Neurosurg       Date:  2012-11-23       Impact factor: 2.104

4.  Simulated lumbar minimally invasive surgery educational model with didactic and technical components.

Authors:  Rohan Chitale; George M Ghobrial; Darlene Lobel; James Harrop
Journal:  Neurosurgery       Date:  2013-10       Impact factor: 4.654

5.  Teaching Palatoplasty Using a High-Fidelity Cleft Palate Simulator.

Authors:  Homan Cheng; Dale J Podolsky; David M Fisher; Karen W Wong; H Peter Lorenz; Rohit K Khosla; James M Drake; Christopher R Forrest
Journal:  Plast Reconstr Surg       Date:  2018-01       Impact factor: 4.730

6.  Effect of an Immersive Preoperative Virtual Reality Experience on Patient Reported Outcomes: A Randomized Controlled Trial.

Authors:  Kimon Bekelis; Daniel Calnan; Nathan Simmons; Todd A MacKenzie; George Kakoulides
Journal:  Ann Surg       Date:  2017-06       Impact factor: 12.969

7.  Use of a surgical rehearsal platform and improvement in aneurysm clipping measures: results of a prospective, randomized trial.

Authors:  A Jessey Chugh; Jonathan R Pace; Justin Singer; Curtis Tatsuoka; Alan Hoffer; Warren R Selman; Nicholas C Bambakidis
Journal:  J Neurosurg       Date:  2016-05-13       Impact factor: 5.115

8.  Virtual reality cerebral aneurysm clipping simulation with real-time haptic feedback.

Authors:  Ali Alaraj; Cristian J Luciano; Daniel P Bailey; Abdussalam Elsenousi; Ben Z Roitberg; Antonio Bernardo; P Pat Banerjee; Fady T Charbel
Journal:  Neurosurgery       Date:  2015-03       Impact factor: 4.654

9.  Establishment of Next-Generation Neurosurgery Research and Training Laboratory with Integrated Human Performance Monitoring.

Authors:  Antonio Bernardo
Journal:  World Neurosurg       Date:  2017-10       Impact factor: 2.104

10.  The Effectiveness of Bioskills Training for Simulated Open Lumbar Laminectomy.

Authors:  Barrett S Boody; Brett D Rosenthal; Tyler J Jenkins; Alpesh A Patel; Jason W Savage; Wellington K Hsu
Journal:  Global Spine J       Date:  2017-06-23
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  7 in total

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2.  Development and Validation of a Novel Methodological Pipeline to Integrate Neuroimaging and Photogrammetry for Immersive 3D Cadaveric Neurosurgical Simulation.

Authors:  Sahin Hanalioglu; Nicolas Gonzalez Romo; Giancarlo Mignucci-Jiménez; Osman Tunc; Muhammet Enes Gurses; Irakliy Abramov; Yuan Xu; Balkan Sahin; Ilkay Isikay; Ilkan Tatar; Mustafa Berker; Michael T Lawton; Mark C Preul
Journal:  Front Surg       Date:  2022-05-16

3.  Effect of Artificial Intelligence Tutoring vs Expert Instruction on Learning Simulated Surgical Skills Among Medical Students: A Randomized Clinical Trial.

Authors:  Ali M Fazlollahi; Mohamad Bakhaidar; Ahmad Alsayegh; Recai Yilmaz; Alexander Winkler-Schwartz; Nykan Mirchi; Ian Langleben; Nicole Ledwos; Abdulrahman J Sabbagh; Khalid Bajunaid; Jason M Harley; Rolando F Del Maestro
Journal:  JAMA Netw Open       Date:  2022-02-01

4.  Augmented Reality in Neurosurgery, State of Art and Future Projections. A Systematic Review.

Authors:  Delia Cannizzaro; Ismail Zaed; Adrian Safa; Alice J M Jelmoni; Antonio Composto; Andrea Bisoglio; Kyra Schmeizer; Ana C Becker; Andrea Pizzi; Andrea Cardia; Franco Servadei
Journal:  Front Surg       Date:  2022-03-11

5.  Development of 3-dimensional printed simulation surgical training models for endoscopic endonasal and transorbital surgery.

Authors:  Won-Jae Lee; Yong Hwy Kim; Sang-Duk Hong; Tae-Hoon Rho; Young Hoon Kim; Yun-Sik Dho; Chang-Ki Hong; Doo-Sik Kong
Journal:  Front Oncol       Date:  2022-08-05       Impact factor: 5.738

6.  Advances and Innovations in Ablative Head and Neck Oncologic Surgery Using Mixed Reality Technologies in Personalized Medicine.

Authors:  Nadia Karnatz; Henriette L Möllmann; Max Wilkat; Aida Parviz; Majeed Rana
Journal:  J Clin Med       Date:  2022-08-16       Impact factor: 4.964

7.  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
  7 in total

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