Zhao S M, Zhao X H, Zhang J, Wang D X, Wang X Y
Department of Cariology and Endodontology, Peking University School and Hospital of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China.
The State Key Lab of Virtual Reality Technology and Systems, Beihang University, Beijing 100191, China.
Beijing Da Xue Xue Bao Yi Xue Ban. 2020 Dec 24;53(1):139-142. doi: 10.19723/j.issn.1671-167X.2021.01.021.
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.
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 class 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 haptic 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.
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 ( < 0.05) on the stiffness gradient score. The roughness scores of the 1st and 2nd layers were statistically significant ( < 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 ( < 0.05) on the score of benefit of improving the ability of identifying caries. 90.4% of the participants preferred the traditional extracted teeth training method.
The virtual reality dental simulation system was helpful to improve students' ability of identifying caries. It couldn't replace the traditional extracted teeth training method by now, it should be used as a supplement to the traditional training method.
基于“UniDental”系统(一种虚拟现实牙科模拟系统)开发一款软件,并应用于口腔医学专业本科生,以提高龋齿识别能力。
开发一款基于UniDental系统用于识别虚拟龋齿的软件。在该软件中,设计了一个虚拟龋齿模型,并根据深度将龋坏组织分为3层。每层内部的硬度相同,但从一层到另一层逐渐增加。每层内部的粗糙度也相同,但从一层到另一层逐渐减小。对北京大学口腔医学院2014级口腔医学专业临床前期的64名参与者进行该软件的培训。在培训过程中,学生应逐层探测虚拟龋齿组织,并使用具有真实力反馈的手机感受每层的垂直硬度和水平粗糙度的差异。培训后,进行问卷调查以评估该软件,包括对硬度和粗糙度的触觉逼真度及其相关梯度的1 - 5分评分,以及对提高龋齿识别能力的益处、选择首选培训方法。使用Kruskal - Wallis检验对数据进行统计分析。
所提出指标的主观评价得分中位数均为“4”,表明该软件的运行逼真度高于中等水平。在硬度梯度评分上,所有3层的硬度得分均具有统计学意义(<0.05)。在粗糙度梯度评分上,第1层和第2层的粗糙度得分具有统计学意义(<0.05)。培训有助于提高龋齿识别能力(中位数为4)。在提高龋齿识别能力的益处评分上,所有3层硬度及其相关梯度的得分均具有统计学意义(<0.05)。90.4%的参与者更喜欢传统的拔牙训练方法。
虚拟现实牙科模拟系统有助于提高学生的龋齿识别能力。目前它不能替代传统的拔牙训练方法,应作为传统训练方法的补充。