Hwang Hyeon-Shik, Youn Il-Sun, Lee Ki-Heon, Lim Hoi-Jeong
Department of Orthodontics, 2nd Stage of Brain Korea 21, School of Dentistry, Dental Science Research Institute, Chonnam National University, Gwangju, Korea.
Am J Orthod Dentofacial Orthop. 2007 Sep;132(3):279.e1-6. doi: 10.1016/j.ajodo.2007.01.017.
The purposes of this study were to classify patients with facial asymmetry by using the cluster analysis and to evaluate the characteristics of the resultant groups.
One hundred consecutive orthodontic patients who had frontal cephalograms and photographs taken for the diagnosis of facial asymmetry were included in the sample. A cluster analysis was used to classify the subjects, with craniofacial measurements related to asymmetry obtained from the cephalograms and photographs.
The subjects were divided into 5 clusters based on only 3 variables from the frontal cephalograms: menton deviation, apical base midline discrepancy, and vertical difference of right and left antegonion. The results of the ANOVA test according to the variables showed statistically significant differences between the groups in all variables, indicating that each group can be easily identified with the variables.
The results suggest that patients with facial asymmetry can be classified simply based on some variables on frontal cephalograms, and this classification can be helpful in proper diagnosis and treatment planning for these patients.
本研究的目的是通过聚类分析对面部不对称患者进行分类，并评估所得组别的特征。
样本纳入了100名连续的正畸患者，他们为诊断面部不对称拍摄了头颅正位片和照片。使用聚类分析对受试者进行分类，从头颅正位片和照片中获取与不对称相关的颅面测量数据。
仅根据头颅正位片的3个变量，即颏点偏移、根尖基骨中线差异以及左右下颌角点的垂直差异，将受试者分为5类。根据这些变量进行的方差分析结果显示，所有变量在各组之间均存在统计学上的显著差异，这表明每组都可以通过这些变量轻松识别。
结果表明，面部不对称患者可简单地根据头颅正位片上的一些变量进行分类，这种分类有助于对这些患者进行正确的诊断和治疗计划制定。
