虚拟现实技术用于龋坏识别教学

Translated title of the contribution: Preliminary evaluation of a Virtual reality dental Simulation system on training of caries identification ability
  • Si Ming Zhao
  • , Xiao Han Zhao
  • , Jie Zhang
  • , Dang Xiao Wang
  • , Xiao Yan Wang*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Objective; To develop a Software based on "UniDental" System which is a virtual reality dental Simulation System and applied to undergraduate majoring in stomatology to improve the ability of identifying caries. Methods: A Software was developed applying to identify virtual dental caries based on UniDental System. In the Software, a virtual dental caries model was designed and carious tissue was separated to 3 layers by the depth. The stiffness was the same within each layer which was increasing gradually layer by layer. The roughness was also the same within each layer which was decreasing gradually layer by layer. Sixty-four participants in pre-clinical stage of the dass of 2014 majoring in stomatology from Peking University School of Stomatology were trained with the Software. During the training, the students should probe on the virtual dental carious tissue layer by layer and feel the difference of vertical stiffness and horizontal roughness of each layer by using a handpiece with realistic force feedback. After training, a questionnaire survey was conducted to evaluate the Software including a score of 1 - 5 for hap-tic fidelity of stiffness and roughness and their relevant gradient and benefit of improving the ability of identifying caries, choosing the preferred training method. The data were statistically analyzed using Kruskal-Wallis test. Results: The median of subjective evaluation scores of the proposed metrics were all "4", demonstrating that the Software operated above medium fidelity. The stiffness scores of all 3 layers were statistically significant (P < 0 . 05) on the stiffness gradient score. The roughness scores of the Ist and 2nd layers were statistically significant (P <0.05) on the roughness gradient score. The training was helpful to improve the ability of identifying caries (median was 4) . The scores of all 3 layers stiffness and relevant gradient were statistically significant (P <0. 05) on the score of benefit of improving the ability of identifying earies. 90.4% of the participants preferred the traditional extracted teeth training method. Conclusion: The virtual reality dental Simulation System was helpful to improve students' ability of identifying earies. It couldn' t replace the traditional extracted teeth training method by now, it should be used as a Supplement to the traditional training method.

Translated title of the contributionPreliminary evaluation of a Virtual reality dental Simulation system on training of caries identification ability
Original languageChinese (Traditional)
Pages (from-to)139-142
Number of pages4
JournalJournal of Peking University (Health Sciences)
Volume53
Issue number1
DOIs
StatePublished - 18 Feb 2021

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