Literature DB >> 26493056

Neurosurgical training with simulators: a novel neuroendoscopy model.

Sebastián G Jaimovich1,2, Marcela Bailez3, Marcelo Asprea4, Roberto Jaimovich5,6.   

Abstract

PURPOSE: The aim of this study is to present a novel neuroendoscopy simulation model in live animals, with the objective of enhancing patient safety with realistic surgical training.
METHODS: A simulation model using live Wistar rats was designed after the approval of the Institutional Committee for the Care and Use of Laboratory Animals. Under anesthesia, a hydroperitoneum was created in order to simulate a cavity with mesenteric membranes and vessels, viscera, and a solid and bleeding tumor (the liver) floating in a liquid environment. For validation purposes, we evaluated trainees' basal and final skills for each neuroendoscopic procedure, and we also acknowledged trainees' and instructors' opinion on the model's realism.
RESULTS: This model is simple and low cost effective for complete and real-life training in neuroendoscopy, with the possibility of performing all the basic and advanced endoscopic procedures, such as endoscopic exploration, membrane fenestration, vessel coagulation, hematoma evacuation, and endoscopic tumor biopsy and resection using a ventricular neuroendoscopy set. Although the model does not represent human ventricular anatomy, a reliable simulation is possible in real living tissue in a liquid environment. Trainees' skills improvements were notorious.
CONCLUSION: Minimally invasive endoscopic techniques require specific training. Simulation training can improve and accelerate the learning curve. The presented training model allows simulating the different neuroendoscopic procedures. We believe that due to its practical possibilities, its simplicity, low cost, reproducibility, and reality, being live animal tissue, it can be considered a fundamental model within a complete training program on neuroendoscopy.

Entities:  

Keywords:  Live animal model; Neuroendoscopy; Neurosurgical education; Simulation; Surgical training

Mesh:

Year:  2015        PMID: 26493056     DOI: 10.1007/s00381-015-2936-7

Source DB:  PubMed          Journal:  Childs Nerv Syst        ISSN: 0256-7040            Impact factor:   1.475


  12 in total

Review 1.  Emerging trends that herald the future of surgical simulation.

Authors:  Richard M Satava
Journal:  Surg Clin North Am       Date:  2010-06       Impact factor: 2.741

2.  Evolving virtual reality simulation in neurosurgery.

Authors:  Clemens M Schirmer; J Mocco; J Bradley Elder
Journal:  Neurosurgery       Date:  2013-10       Impact factor: 4.654

3.  Quality assessment of a new surgical simulator for neuroendoscopic training.

Authors:  Francisco Vaz Guimarães Filho; Giselle Coelho; Sergio Cavalheiro; Marcos Lyra; Samuel T Zymberg
Journal:  Neurosurg Focus       Date:  2011-04       Impact factor: 4.047

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Authors:  N Barassi; F Benavides; A Ceccarelli
Journal:  Medicina (B Aires)       Date:  1996       Impact factor: 0.653

5.  Victor Darwin Lespinasse: a biographical sketch.

Authors:  J A Grant
Journal:  Neurosurgery       Date:  1996-12       Impact factor: 4.654

6.  Needs assessment for simulation training in neuroendoscopy: a Canadian national survey.

Authors:  Faizal A Haji; Adam Dubrowski; James Drake; Sandrine de Ribaupierre
Journal:  J Neurosurg       Date:  2012-12-07       Impact factor: 5.115

7.  Frameless image-guided neuroendoscopy training in real simulators.

Authors:  G Coelho; C Kondageski; F Vaz-Guimarães Filho; R Ramina; S C Hunhevicz; F Daga; M R Lyra; S Cavalheiro; S T Zymberg
Journal:  Minim Invasive Neurosurg       Date:  2011-08-23

8.  Human cadaver brain infusion model for neurosurgical training.

Authors:  Jon Olabe; Javier Olabe; Vidal Sancho
Journal:  Surg Neurol       Date:  2009-08-06

9.  NeuroTouch: a physics-based virtual simulator for cranial microneurosurgery training.

Authors:  Sébastien Delorme; Denis Laroche; Robert DiRaddo; Rolando F Del Maestro
Journal:  Neurosurgery       Date:  2012-09       Impact factor: 4.654

10.  Cavernous sinus tumor model in the canine: a simulation model for cavernous sinus tumor surgery.

Authors:  Ali F Krisht; Kevin Yoo; Kenan I Arnautovic; Ossama Al-Mefty
Journal:  Neurosurgery       Date:  2005-06       Impact factor: 4.654

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  3 in total

1.  A practical 3D printed simulator for endoscopic endonasal transsphenoidal surgery to improve basic operational skills.

Authors:  Guodao Wen; ZiXiang Cong; KaiDong Liu; Chao Tang; Chunyu Zhong; Liwen Li; XuJie Dai; Chiyuan Ma
Journal:  Childs Nerv Syst       Date:  2016-03-21       Impact factor: 1.475

Review 2.  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

3.  Effectiveness of an inexpensive short-term theoretical-practical course on videosurgery for surgeons in training.

Authors:  Paula Haveroth Takegawa; Jefferson Kalil; Joaquim Murray Bustorff-Silva; Márcio Lopes Miranda
Journal:  BMC Med Educ       Date:  2022-07-07       Impact factor: 3.263

  3 in total

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