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Simulation-based neurosurgical training for the presigmoid approach with a physical model.
Neurosurgery 2013; 73 Suppl 1:81-4N

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.

Authors+Show Affiliations

Department of Neurosurgery, Thomas Jefferson University and Jefferson Hospital for Neuroscience, Philadelphia, Pennsylvania.No affiliation info available

Pub Type(s)

Journal Article

Language

eng

PubMed ID

24051888

Citation

Jabbour, Pascal, and Nohra Chalouhi. "Simulation-based Neurosurgical Training for the Presigmoid Approach With a Physical Model." Neurosurgery, vol. 73 Suppl 1, 2013, pp. 81-4.
Jabbour P, Chalouhi N. Simulation-based neurosurgical training for the presigmoid approach with a physical model. Neurosurgery. 2013;73 Suppl 1:81-4.
Jabbour, P., & Chalouhi, N. (2013). Simulation-based neurosurgical training for the presigmoid approach with a physical model. Neurosurgery, 73 Suppl 1, pp. 81-4. doi:10.1227/NEU.0000000000000090.
Jabbour P, Chalouhi N. Simulation-based Neurosurgical Training for the Presigmoid Approach With a Physical Model. Neurosurgery. 2013;73 Suppl 1:81-4. PubMed PMID: 24051888.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Simulation-based neurosurgical training for the presigmoid approach with a physical model. AU - Jabbour,Pascal, AU - Chalouhi,Nohra, PY - 2013/9/21/entrez PY - 2013/9/27/pubmed PY - 2014/4/23/medline SP - 81 EP - 4 JF - Neurosurgery JO - Neurosurgery VL - 73 Suppl 1 N2 - 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. SN - 1524-4040 UR - https://www.unboundmedicine.com/medline/citation/24051888/Simulation_based_neurosurgical_training_for_the_presigmoid_approach_with_a_physical_model_ L2 - https://academic.oup.com/neurosurgery/article-lookup/doi/10.1227/NEU.0000000000000090 DB - PRIME DP - Unbound Medicine ER -