Cheng Johnson Hsin-Chung, Luechapanichkul Mingming Jareerat, Lee Tracy Yi-Hsuan
School of Dentistry, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan.
Orthodontic Division, Department of Dentistry, Taipei Medical University Hospital, Taipei, Taiwan.
J Dent Sci. 2021 Jan;16(1):37-44. doi: 10.1016/j.jds.2020.07.010. Epub 2020 Aug 18.
BACKGROUND/PURPOSE: The purposes of this study were to develop smile measurements for lateral and oblique view photographs to help in orthodontic analysis and treatment planning, to quantitatively evaluate the relationship between smile esthetics and different types of malocclusion using lateral and oblique view photographs, to identify the cephalometric factors affecting smile measurements.
Patients who came to orthodontic department of a university hospital from 2014 to 2017 and met the inclusion criteria were included and divided into three groups according to Angle's classification. Thirteen variables were measured for cephalometric analysis. Twenty-one variables were developed and measured on pretreatment photographs for lateral and oblique smile analysis. ANOVA and Scheffe post hoc test were used to compare cephalometric and smile variables among three groups. Multiple linear regression analysis was performed to identify cephalometric factors affecting smile measurements.
Three-hundred and ninety patients (287 females, 103 males) with mean age of 24.5 ± 7.6 years reached the criteria. All cephalometric variables differed significantly among three groups. Except for maxillary teeth exposure number, visible maxillary width, and lip thickness ratio, all smile variables differed significantly. Smile characteristics had significant correlation with some cephalometric measurements.
Smile patterns on the lateral and oblique view photographs can be affected by different types of malocclusion. Therefore, we suggest to include lateral and oblique smile view photographs in the data collection for orthodontic treatment planning.
背景/目的:本研究的目的是开发用于侧位和斜位照片的微笑测量方法,以辅助正畸分析和治疗计划;使用侧位和斜位照片定量评估微笑美学与不同类型错牙合之间的关系;确定影响微笑测量的头影测量因素。
纳入2014年至2017年到某大学医院正畸科就诊且符合纳入标准的患者,并根据安氏分类法分为三组。对头影测量分析测量13个变量。在治疗前的侧位和斜位微笑照片上开发并测量21个变量。使用方差分析和谢弗事后检验比较三组之间的头影测量和微笑变量。进行多元线性回归分析以确定影响微笑测量的头影测量因素。
390例患者(287例女性,103例男性)达到标准,平均年龄24.5±7.6岁。所有头影测量变量在三组之间均有显著差异。除上颌牙齿暴露数、可见上颌宽度和唇厚度比外,所有微笑变量均有显著差异。微笑特征与一些头影测量值有显著相关性。
侧位和斜位照片上的微笑模式可能受不同类型错牙合的影响。因此,我们建议在正畸治疗计划的数据收集中纳入侧位和斜位微笑照片。