Literature DB >> 24051888

Simulation-based neurosurgical training for the presigmoid approach with a physical model.

Pascal Jabbour1, Nohra Chalouhi.   

Abstract

BACKGROUND: In recent years, there has been growing interest in the use of simulation to supplement conventional surgical training. Simulation remains, however, in its infancy in neurosurgery.
OBJECTIVE: To report on and assess the utility of a simulation physical model for the presigmoid approach.
METHODS: The Congress of Neurological Surgeons created a Simulation Committee to explore and develop simulation-based models. The current model involves drilling of the presigmoid cranial base under image guidance. Each time the drill touches the dura, facial nerve, or sigmoid sinus, a beeping and a warning sound are emitted.
RESULTS: Nine neurosurgery residents participated in and completed the presigmoid approach simulation module. All residents successfully completed the simulation procedure within the allocated time period (20 minutes). The mean number of hits to the dura, facial nerve, and sigmoid sinus decreased from 4.2 in the first test to 3.1 in the second test (P < .05). The facial nerve was the most likely structure to be injured, followed by the sigmoid sinus and finally the dura. All 9 participants had an improvement in their technical scores.
CONCLUSION: The presigmoid approach simulation model is a useful tool in resident education that may improve surgical proficiency while minimizing risk to patients. More studies with standardized end points for technical proficiency and clinical outcomes are needed.

Entities:  

Mesh:

Year:  2013        PMID: 24051888     DOI: 10.1227/NEU.0000000000000090

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


  6 in total

Review 1.  The role of simulation in neurosurgery.

Authors:  Roberta Rehder; Muhammad Abd-El-Barr; Kristopher Hooten; Peter Weinstock; Joseph R Madsen; Alan R Cohen
Journal:  Childs Nerv Syst       Date:  2015-10-05       Impact factor: 1.475

2.  Impact and prevention of errors in endovascular treatment of unruptured intracranial aneurysms.

Authors:  Johanna Maria Ospel; Nima Kashani; Arnuv Mayank; Petra Cimflova; Manraj Heran; Sachin Pandey; Lissa Peeling; Anil Gopinathan; Demetrius Lopes; Naci Kocer; Mayank Goyal
Journal:  Interv Neuroradiol       Date:  2020-07-29       Impact factor: 1.610

3.  Simulator-Based Angiography and Endovascular Neurosurgery Curriculum: A Longitudinal Evaluation of Performance Following Simulator-Based Angiography Training.

Authors:  J Scott Pannell; David R Santiago-Dieppa; Arvin R Wali; Brian R Hirshman; Jeffrey A Steinberg; Vincent J Cheung; David Oveisi; Jon Hallstrom; Alexander A Khalessi
Journal:  Cureus       Date:  2016-08-29

Review 4.  Microvascular Anastomosis Training in Neurosurgery: A Review.

Authors:  Vadim A Byvaltsev; Serik K Akshulakov; Roman A Polkin; Sergey V Ochkal; Ivan A Stepanov; Yerbol T Makhambetov; Talgat T Kerimbayev; Michael Staren; Evgenii Belykh; Mark C Preul
Journal:  Minim Invasive Surg       Date:  2018-03-28

Review 5.  3D printed bone models in oral and cranio-maxillofacial surgery: a systematic review.

Authors:  Matteo Meglioli; Adrien Naveau; Guido Maria Macaluso; Sylvain Catros
Journal:  3D Print Med       Date:  2020-10-20

Review 6.  Simulation for skills training in neurosurgery: a systematic review, meta-analysis, and analysis of progressive scholarly acceptance.

Authors:  Joseph Davids; Susruta Manivannan; Ara Darzi; Stamatia Giannarou; Hutan Ashrafian; Hani J Marcus
Journal:  Neurosurg Rev       Date:  2020-09-18       Impact factor: 3.042

  6 in total

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