PDF(Pubmed)
Abstract：
BACKGROUND: This study aims to understand the relationship between midline deviations and the inherent asymmetry that can be observed in a human face.
METHODS: A cross-sectional study was conducted using a frontal smile photograph of a female which was altered on Adobe Photoshop software version 23.0 into eight different photographs by deviating the dental midlines by 2 mm, 4 mm, and 6 mm towards and away from the facial flow line (FFL). 4 mm of chin deviation was incorporated in all the pictures except for the first picture in which the midline and chin were kept symmetric. Orthodontic residents evaluated those photographs on an interrupted visual analogue scale (VAS) with 0 being the least attractive and 10 being the most. Simple linear regression was applied to observe factors associated with VAS score.
RESULTS: Highest score was observed for picture with midline and chin on (MLCon) with a score of 9.4 ± 0.7, followed by picture with midline on and chin deviated (MLon) 8.7 ± 0.8. The deviations towards green zone received higher scores in comparison to deviations towards red zone. Linear regression revealed highly statistically significant differences between the constant and the rest of the pictures.
CONCLUSIONS: The formation of green and red zones by the FFL influences the perception of midline deviation as judged by orthodontic residents. Midline when deviated towards the green zone, was judged to be more aesthetic than when shifted towards the red zones.
METHODS: A cross-sectional study was conducted using a frontal smile photograph of a female which was altered on Adobe Photoshop software version 23.0 into eight different photographs by deviating the dental midlines by 2 mm, 4 mm, and 6 mm towards and away from the facial flow line (FFL). 4 mm of chin deviation was incorporated in all the pictures except for the first picture in which the midline and chin were kept symmetric. Orthodontic residents evaluated those photographs on an interrupted visual analogue scale (VAS) with 0 being the least attractive and 10 being the most. Simple linear regression was applied to observe factors associated with VAS score.
RESULTS: Highest score was observed for picture with midline and chin on (MLCon) with a score of 9.4 ± 0.7, followed by picture with midline on and chin deviated (MLon) 8.7 ± 0.8. The deviations towards green zone received higher scores in comparison to deviations towards red zone. Linear regression revealed highly statistically significant differences between the constant and the rest of the pictures.
CONCLUSIONS: The formation of green and red zones by the FFL influences the perception of midline deviation as judged by orthodontic residents. Midline when deviated towards the green zone, was judged to be more aesthetic than when shifted towards the red zones.
摘要：
背景：这项研究旨在了解中线偏差与可以在人脸中观察到的固有不对称性之间的关系。
方法：使用女性正面微笑照片进行了一项横断面研究，该照片在AdobePhotoshop软件版本23.0上通过使牙齿中线偏离2毫米而被修改为八张不同的照片，4mm,朝向和远离面部流线(FFL)6mm。除了中线和下巴保持对称的第一张图片外，所有图片中都包含了4毫米的下巴偏差。正畸居民在中断的视觉模拟量表（VAS）上评估了这些照片，其中0是最不吸引人的，10是最吸引人的。应用简单线性回归观察与VAS评分相关的因素。
结果：中线和下巴（MLCon）的图片得分最高，得分为9.4±0.7，其次是中线和下巴偏离（MLon）8.7±0.8。与朝向红色区域的偏差相比,朝向绿色区域的偏差获得更高的分数。线性回归显示了常数与其余图片之间的高度统计上的显着差异。
结论：FFL形成的绿色和红色区域会影响正畸居民对中线偏离的感知。中线偏离绿色区域时，被认为比转向红色区域时更具美感。
方法：使用女性正面微笑照片进行了一项横断面研究，该照片在AdobePhotoshop软件版本23.0上通过使牙齿中线偏离2毫米而被修改为八张不同的照片，4mm,朝向和远离面部流线(FFL)6mm。除了中线和下巴保持对称的第一张图片外，所有图片中都包含了4毫米的下巴偏差。正畸居民在中断的视觉模拟量表（VAS）上评估了这些照片，其中0是最不吸引人的，10是最吸引人的。应用简单线性回归观察与VAS评分相关的因素。
结果：中线和下巴（MLCon）的图片得分最高，得分为9.4±0.7，其次是中线和下巴偏离（MLon）8.7±0.8。与朝向红色区域的偏差相比,朝向绿色区域的偏差获得更高的分数。线性回归显示了常数与其余图片之间的高度统计上的显着差异。
结论：FFL形成的绿色和红色区域会影响正畸居民对中线偏离的感知。中线偏离绿色区域时，被认为比转向红色区域时更具美感。
