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Clinical photography vs digital video clips for the assessment of smile esthetics.

机译:临床摄影与数字视频剪辑可用于评估微笑美学。

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OBJECTIVE: To test the null hypothesis that there is no clinically significant difference between the post-orthodontic treatment images of smiles of subjects captured by clinical photography and the smiles of the same subjects obtained from digital video clips. MATERIALS AND METHODS: Clinical photographs and digital video captures were obtained from 48 orthodontically treated patients. An updated version of the Smile Mesh program was used to quantify and compare smile characteristics obtained with the two methods. A paired-samples t-test was performed to test for mean differences in Smile Mesh measurements generated from both smile images. The relationship between the various Smile Mesh measurements obtained from both smile images was examined by way of Pearson product-moment correlation. RESULTS: A significant difference was found between 7 of the 14 mean Smile Mesh measurements. The absolute values of all these differences, however, were smaller than 1 mm and therefore were not clinically significant. With the exception of lower lip to maxillary incisor, all measurements showed a moderate to strong relation with each other (P values ranging from .47 to .82; P < .001). CONCLUSIONS: The hypothesis cannot be rejected. A significant positive correlation was noted between Smile Mesh measurements obtained from smiles captured by clinical photography and those captured with digital video clips. This supports the conclusion that a standard digital photograph appears to be a valid tool for analysis of the posttreatment smile.
机译:目的:检验原假设,即正畸治疗后通过临床摄影拍摄的受试者的微笑与从数字视频剪辑获得的相同受试者的微笑之间的临床图像之间无显着差异。材料与方法:从48例正畸治疗患者中获得临床照片和数字录像。 Smile Mesh程序的更新版本用于量化和比较通过两种方法获得的微笑特征。进行了配对样本t检验,以测试由两个微笑图像生成的Smile Mesh测量值的平均差异。从两个微笑图像获得的各种Smile Mesh测量值之间的关系通过Pearson乘积矩相关性进行了检验。结果:在14个平均Smile Mesh测量值中的7个之间发现了显着差异。但是,所有这些差异的绝对值均小于1 mm,因此在临床上并不重要。除下唇至上颌切牙外,所有测量结果均显示出中度至强烈的关联(P值范围为0.47至.82; P <.001)。结论:该假设不能被拒绝。从临床摄影捕获的微笑获得的微笑网格测量结果与数字视频剪辑捕获的微笑获得的微笑网格测量结果之间存在显着正相关。这支持以下结论:标准数码照片似乎是分析后处理微笑的有效工具。

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