Buduru Smaranda, Cofar Florin, Mesaroș Anca, Tăut Manuela, Negucioiu Marius, Almășan Oana
Prosthetic Dentistry and Dental Materials Department, Iuliu Hațieganu University of Medicine and Pharmacy, 32 Clinicilor Street, 400006 Cluj-Napoca, Romania.
Doctoral School, Dental Medicine, Victor Babeş University of Medicine and Pharmacy, 300041 Timișoara, Romania.
Dent J (Basel). 2024 Apr 11;12(4):104. doi: 10.3390/dj12040104.
Digital Smile Design (DSD) is used in many fields of dentistry. This prospective observational study assessed laypeople's and dental professionals' perceptions of a DSD application. SmileCloud, an online DSD platform, was used to create two different designs for three patients; after that, the participants, in a 30-question online illustrated survey, were asked about the most attractive design and other features of the smile. Dentists' and laypeople's perceptions about specific DSD features were assessed. The Kolmogorov-Smirnov normality test was used. Descriptive and crosstab analyses compared the respondents' opinions for each statement. Chi-square tests were used to determine the relationship between the questions and any association with age, gender, and profession. The test results were rated as significant at a -value < 0.05. A total of 520 participants (dental professionals, students, dental technicians, and laypeople) were enrolled. The statistically significant features were self-esteem related to appearance ( = 0.05), facial and smile symmetry ( = 0.42, < 0.0001), tooth color ( = 0.012), and symmetry of gums ( < 0.001). For each patient, the design with dominant round upper incisors and perfect symmetry was preferred ( < 0.001). Digital pre-visualization benefits diagnosis and enriches treatment planning. The dentist-dental technician-patient team should be involved in the decision-making process of pre-visualization.
数字化微笑设计(DSD)在牙科的许多领域都有应用。这项前瞻性观察性研究评估了外行人与牙科专业人员对DSD应用的看法。使用在线DSD平台SmileCloud为三名患者创建了两种不同的设计;之后,在一项有30个问题的在线图文调查中,参与者被问及最具吸引力的设计以及微笑的其他特征。评估了牙医和外行人对特定DSD特征的看法。使用了柯尔莫哥洛夫 - 斯米尔诺夫正态性检验。描述性分析和交叉表分析比较了受访者对每条陈述的意见。卡方检验用于确定问题之间的关系以及与年龄、性别和职业的任何关联。检验结果在p值<0.05时被评定为具有显著性。总共招募了520名参与者(牙科专业人员、学生、牙科技术人员和外行人)。具有统计学显著性的特征包括与外貌相关的自尊(p = 0.05)、面部和微笑对称性(p = 0.42,p < 0.0001)、牙齿颜色(p = 0.012)以及牙龈对称性(p < 0.001)。对于每位患者,具有占主导地位的圆形上切牙和完美对称性的设计更受青睐(p < 0.001)。数字化预可视化有助于诊断并丰富治疗计划。牙医 - 牙科技术人员 - 患者团队应参与预可视化的决策过程。