Application of Multimodal Neuronavigation System in clinical teaching of neural tumor surgery

Abstract

Objective To improve the system of specialized training by exploring the role of multimodal navigation in the teaching of neurosurgery. Methods The questionnaire was conducted by the experts to obtain the detailed information of 20 residents. They were randomly divided into two groups: the traditional teaching group (n=10) and the multimodal navigation group (n=10). The details were evaluated from the reaction layer, the learning layer, the behavior layer and the result layer by the Kirkpatriek’s model. The data were analyzed by SPSS 17.0. The quantitative data were described by mean±standard deviation and the qualitative data was described by rate or percentage. Two independent-samples t test was used to compare the results of two groups. Results The results of the reaction layer showed that the scores of the multimodal navigation group were significantly higher than those of the traditional teaching group, which were statistically significant (P<0.05) in the training content, training methods, training facilities and experience after training. The learning results showed that the multimodal navigation group had higher scores in the theoretical examinations, surgical skills and overall scores (P<0.05). The behavioral results showed that the clinical ability of the multimodal navigation group was more prominent (P<0.05). The result layer showed that under the guidance of professors, the percentage of residents who can complete the whole surgical operation is higher in multimodal navigation group (50% vs. 20%). Conclusion The application of multimodal navigation technology has a positive effect on the teaching of neurosurgery and specialized training of residents. Key words: Multimodal neuronavigation system; Specialized training; Neuroneoplasm; Clinical teaching; Kirkpatriek’s model