Department of Dentistry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada.
Angle Orthod. 2012 May;82(3):472-9. doi: 10.2319/072311-465.1. Epub 2011 Oct 13.
To predict lower incisor proclination from initial cephalometric values in Class II division 1 patients treated in phase I with the Xbow appliance.
Two hundred forty-nine mild to moderate Class II division 1 patients treated with the Xbow appliance as a phase I treatment were considered. Patients were in late mixed dentition or early permanent dentition. Commonly used cephalometric variables at T1 (before treatment) were used to predict lower incisor proclination after Xbow treatment (T2). A principal component analysis (PCA) was performed. The four extracted PCA components were skeletal component, incisal distance, anterior facial projection, and maxillo-mandibular relation. Thereafter, a multiple linear regression analysis (MLRA) was performed using the four extracted PCA components at T1 as predictor variables, and lower incisor inclination relative to the mandibular plane (L1-MP) at T2 as the dependent variable.
The mean L1-MP at T1 was 95.46 degrees and the mean L1-MP at T2 was 98.51 degrees, resulting in a mean difference of 3.04 degrees. Only incisal distance and maxillo-mandibular relation PCA components had significance (P < .05) according to the MLRA. The overall model gave an adjusted R2 value (coefficient of determination) of 0.091.
The best prediction model could account for only 9% of the total variability. Using common cephalometric variables at T1, average lower incisor proclination from Xbow treatment cannot be predicted in a clinically meaningful way.
预测使用 Xbow 矫治器进行 I 期治疗的轻度至中度安氏Ⅱ类 1 分类错(牙合)患者的下切牙唇倾度。
共纳入 249 例使用 Xbow 矫治器进行 I 期治疗的轻度至中度安氏Ⅱ类 1 分类错(牙合)患者,患者处于混合牙列晚期或恒牙列早期。在 T1 时(治疗前)使用常用的头影测量变量来预测 Xbow 治疗后(T2)下切牙的唇倾度。进行主成分分析(PCA)。提取的 4 个 PCA 成分包括骨骼成分、切牙距离、前颜面投影和上下颌关系。然后,使用 T1 时提取的 4 个 PCA 成分作为预测变量,对 T2 时的下切牙相对于下颌平面的倾斜度(L1-MP)进行多元线性回归分析(MLRA)。
T1 时的平均 L1-MP 为 95.46°,T2 时的平均 L1-MP 为 98.51°,平均差异为 3.04°。根据 MLRA,只有切牙距离和上下颌关系 PCA 成分有统计学意义(P<0.05)。整体模型的调整 R2 值(决定系数)为 0.091。
最佳预测模型仅能解释总变异性的 9%。使用 T1 时的常用头影测量变量,无法以有临床意义的方式预测 Xbow 治疗后的平均下切牙唇倾度。