基于几何形态计量学分析的ⅰ类和双颌前突错颌牙倾斜形态可视化

Siti Balqish Oon, Aspalilah Alias, Sarah Haniza, Abdul Ghani, Noraina Hafizan
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引用次数: 0

摘要

目的:本研究旨在通过侧位头颅x线片的几何形态分析来确定I类错颌和双颌前突患者的牙倾斜形状。材料与方法:招募符合纳入标准的128名马来患者;其中ⅰ类错颌合组64例,双颌前突组64例。样本年龄在18 - 40岁之间,性别分布为男性41人,女性87人。对治疗前正畸侧位头颅x线片进行追踪和数字化。利用TPSUtil软件将每张x光片的13个地标合并并转换为坐标。然后将这些图导出到MorphoJ软件进行多重几何形态分析(GMA)。结果:两组间牙倾形状差异有统计学意义(p<0.01)。这些组的判别分析和交叉验证表明,识别两种牙错的准确率为98%。网格图显示,双颌前突组的牙倾斜形状与I类错牙合相比明显更前倾。结论:ⅰ类错颌和双颌前突的牙倾差异是可以识别的,其形状差异可以通过几何形态计量学分析可视化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Shape Visualization of Dental Inclination in Class I and Bimaxillary Protrusion Malocclusions through Geometric Morphometric Analysis
Objectives: This study aimed to determine the shape of dental inclination between Class I malocclusion and bimaxillary protrusive Malay patients using geometric morphometric analysis obtained from lateral cephalometric radiographs. Materials and Methods: 128 Malay patients who met the inclusion criteria were recruited; of which 64 patients were in Class I malocclusion and another 64 patients in bimaxillary protrusion groups. Samples were in the age range of 18 to 40 years old, with a gender distribution of 41 males and 87 females. Pre-treatment orthodontic lateral cephalometric radiograph were traced and digitized. Thirteen landmarks of each radiograph were incorporated and converted into coordinates using TPSUtil software. The plots were then exported to MorphoJ Software for multiple Geometric Morphometric Analysis (GMA). Results: The results showed that there was a statistically significant difference (p<0.01) in shape of dental inclination between the groups. Discriminant analysis and cross validation of these groups demonstrated 98% accuracy in identifying two types of dental malocclusion. The grid graphs illustrated the shape of dental inclination of the bimaxillary protrusion group as being significantly more proclined when compared to Class I malocclusion. Conclusion: This study concludes that the dissimilarities in dental inclination are identifiable in Class I malocclusion and bimaxillary protrusion and the shape differences can be visualized using geometric morphometric analysis.
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