Plaza Sonia Patricia, Reimpell Andreina, Silva Jaime, Montoya Diana
Fundación Centro de Investigación y Estudios Odontológicos - UniCIEO, Departamento de Ortodoncia (Bogotá, Colombia).
Dental Press J Orthod. 2019 Sep 5;24(4):63-72. doi: 10.1590/2177-6709.24.4.063-072.oar.
The purpose of this study was to establish the association between sagittal and vertical skeletal patterns and assess which cephalometric variables contribute to the possibility of developing skeletal Class II or Class III malocclusion.
Cross-sectional study. The sample included pre-treatment lateral cephalogram radiographs from 548 subjects (325 female, 223 male) aged 18 to 66 years. Sagittal skeletal pattern was established by three different classification parameters (ANB angle, Wits and App-Bpp) and vertical skeletal pattern by SN-Mandibular plane angle. Cephalometric variables were measured using Dolphin software (Imaging and Management Solutions, Chatsworth, Calif, USA) by a previously calibrated operator. The statistical analysis was carried out with Chi-square test, ANOVA/Kruskal-Wallis test, and an ordinal multinomial regression model.
Evidence of association (p< 0.05) between sagittal and vertical skeletal patterns was found with a greater proportion of hyperdivergent skeletal pattern in Class II malocclusion using three parameters to assess the vertical pattern, and there was more prevalent hypodivergence in Class III malocclusion, considering ANB and App-Bpp measurements. Subjects with hyperdivergent skeletal pattern (odds ratio [OR]=1.85-3.65), maxillary prognathism (OR=2.67-24.88) and mandibular retrognathism (OR=2.57-22.65) had a significantly (p< 0.05) greater chance of developing skeletal Class II malocclusion. Meanwhile, subjects with maxillary retrognathism (OR=2.76-100.59) and mandibular prognathism (OR=5.92-21.50) had a significantly (p< 0.05) greater chance of developing skeletal Class III malocclusion.
A relationship was found between Class II and Class III malocclusion with the vertical skeletal pattern. There is a tendency toward skeletal compensation with both vertical and sagittal malocclusions.
本研究旨在建立矢状面和垂直面骨骼类型之间的关联,并评估哪些头影测量变量会增加发生骨骼型安氏II类或III类错牙合畸形的可能性。
横断面研究。样本包括548名年龄在18至66岁之间受试者(325名女性,223名男性)治疗前的头颅侧位X线片。矢状面骨骼类型通过三种不同的分类参数(ANB角、Wits值和App-Bpp)确定,垂直面骨骼类型通过SN-下颌平面角确定。头影测量变量由一名经过预校准的操作人员使用Dolphin软件(美国加利福尼亚州查茨沃思市的影像与管理解决方案公司)进行测量。采用卡方检验、方差分析/克鲁斯卡尔-沃利斯检验和有序多项回归模型进行统计分析。
使用三个参数评估垂直类型时,发现矢状面和垂直面骨骼类型之间存在关联证据(p<0.05),在安氏II类错牙合畸形中,高角骨骼类型的比例更高;考虑ANB和App-Bpp测量值时,安氏III类错牙合畸形中低角类型更为普遍。高角骨骼类型(比值比[OR]=1.85 - 3.65)、上颌前突(OR=2.67 - 24.88)和下颌后缩(OR=2.57 - 22.65)的受试者发生骨骼型安氏II类错牙合畸形的可能性显著更高(p<0.05)。同时,上颌后缩(OR=2.76 - 100.59)和下颌前突(OR=5.92 - 21.50)的受试者发生骨骼型安氏III类错牙合畸形的可能性显著更高(p<0.05)。
发现安氏II类和III类错牙合畸形与垂直面骨骼类型之间存在关联。垂直和矢状面错牙合畸形均有骨骼代偿的趋势。