Literature DB >> 21456928

Quality assessment of a new surgical simulator for neuroendoscopic training.

Francisco Vaz Guimarães Filho1, Giselle Coelho, Sergio Cavalheiro, Marcos Lyra, Samuel T Zymberg.   

Abstract

OBJECT: Ideal surgical training models should be entirely reliable, atoxic, easy to handle, and, if possible, low cost. All available models have their advantages and disadvantages. The choice of one or another will depend on the type of surgery to be performed. The authors created an anatomical model called the S.I.M.O.N.T. (Sinus Model Oto-Rhino Neuro Trainer) Neurosurgical Endotrainer, which can provide reliable neuroendoscopic training. The aim in the present study was to assess both the quality of the model and the development of surgical skills by trainees.
METHODS: The S.I.M.O.N.T. is built of a synthetic thermoretractable, thermosensible rubber called Neoderma, which, combined with different polymers, produces more than 30 different formulas. Quality assessment of the model was based on qualitative and quantitative data obtained from training sessions with 9 experienced and 13 inexperienced neurosurgeons. The techniques used for evaluation were face validation, retest and interrater reliability, and construct validation.
RESULTS: The experts considered the S.I.M.O.N.T. capable of reproducing surgical situations as if they were real and presenting great similarity with the human brain. Surgical results of serial training showed that the model could be considered precise. Finally, development and improvement in surgical skills by the trainees were observed and considered relevant to further training. It was also observed that the probability of any single error was dramatically decreased after each training session, with a mean reduction of 41.65% (range 38.7%-45.6%).
CONCLUSIONS: Neuroendoscopic training has some specific requirements. A unique set of instruments is required, as is a model that can resemble real-life situations. The S.I.M.O.N.T. is a new alternative model specially designed for this purpose. Validation techniques followed by precision assessments attested to the model's feasibility.

Entities:  

Mesh:

Year:  2011        PMID: 21456928     DOI: 10.3171/2011.2.FOCUS10321

Source DB:  PubMed          Journal:  Neurosurg Focus        ISSN: 1092-0684            Impact factor:   4.047


  15 in total

1.  Impact of Dynamic Endoscopy and Bimanual-Binarial Dissection in Endoscopic Endonasal Surgery Training: A Laboratory Investigation.

Authors:  Francisco Vaz-Guimaraes; Milton M Rastelli; Juan C Fernandez-Miranda; Eric W Wang; Paul A Gardner; Carl H Snyderman
Journal:  J Neurol Surg B Skull Base       Date:  2015-05-13

Review 2.  Ventricular endoscopy in the pediatric population: review of indications.

Authors:  Omar Choudhri; Abdullah H Feroze; Jay Nathan; Samuel Cheshier; Raphael Guzman
Journal:  Childs Nerv Syst       Date:  2014-08-01       Impact factor: 1.475

3.  New anatomical simulator for pediatric neuroendoscopic practice.

Authors:  Giselle Coelho; Samuel Zymberg; Marcos Lyra; Nelci Zanon; Benjamin Warf
Journal:  Childs Nerv Syst       Date:  2014-09-03       Impact factor: 1.475

4.  The role of simulation in neurosurgery.

Authors:  Giselle Coelho; Nelci Zanon; Benjamin Warf
Journal:  Childs Nerv Syst       Date:  2014-09-24       Impact factor: 1.475

5.  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

6.  Chicken wing training model for endoscopic microsurgery.

Authors:  Ignacio Jusue-Torres; Sananthan Sivakanthan; Carlos Diogenes Pinheiro-Neto; Paul A Gardner; Carl H Snyderman; Juan C Fernandez-Miranda
Journal:  J Neurol Surg B Skull Base       Date:  2013-07-12

7.  Design and validation of a 3D-printed simulator for endoscopic third ventriculostomy.

Authors:  Junhao Zhu; Jin Yang; Chao Tang; Zixiang Cong; Xiangming Cai; Chiyuan Ma
Journal:  Childs Nerv Syst       Date:  2019-11-12       Impact factor: 1.475

8.  A Perfusion-based Human Cadaveric Model for Management of Carotid Artery Injury during Endoscopic Endonasal Skull Base Surgery.

Authors:  Martin Pham; Aydemir Kale; Yvette Marquez; Jesse Winer; Brian Lee; Brianna Harris; Michael Minnetti; Joseph Carey; Steven Giannotta; Gabriel Zada
Journal:  J Neurol Surg B Skull Base       Date:  2014-05-02

9.  Neurosurgical training with simulators: a novel neuroendoscopy model.

Authors:  Sebastián G Jaimovich; Marcela Bailez; Marcelo Asprea; Roberto Jaimovich
Journal:  Childs Nerv Syst       Date:  2015-10-22       Impact factor: 1.475

10.  Evaluation of an intraoperative ultrasound training model based on a cadaveric sheep brain.

Authors:  Jan Vavruska; Ralf Buhl; Athanasios K Petridis; Homajoun Maslehaty; Martin Scholz
Journal:  Surg Neurol Int       Date:  2014-04-09
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