Hatch Cory D, Wehby George L, Nidey Nichole L, Moreno Uribe Lina M
Predoctoral Dental Student, College of Dentistry, University of Iowa, Iowa City, IA.
Associate Professor, Department of Health Management and Policy, University of Iowa, Iowa City, IA.
J Oral Maxillofac Surg. 2017 Sep;75(9):1958-1970. doi: 10.1016/j.joms.2017.04.042. Epub 2017 May 10.
Meeting patient desires for enhanced facial esthetics requires that providers have standardized and objective methods to measure esthetics. The authors evaluated the effects of objective 3-dimensional (3D) facial shape and asymmetry measurements derived from 3D facial images on perceptions of facial attractiveness.
The 3D facial images of 313 adults in Iowa were digitized with 32 landmarks, and objective 3D facial measurements capturing symmetric and asymmetric components of shape variation, centroid size, and fluctuating asymmetry were obtained from the 3D coordinate data using geo-morphometric analyses. Frontal and profile images of study participants were rated for facial attractiveness by 10 volunteers (5 women and 5 men) on a 5-point Likert scale and a visual analog scale. Multivariate regression was used to identify the effects of the objective 3D facial measurements on attractiveness ratings.
Several objective 3D facial measurements had marked effects on attractiveness ratings. Shorter facial heights with protrusive chins, midface retrusion, faces with protrusive noses and thin lips, flat mandibular planes with deep labiomental folds, any cants of the lip commissures and floor of the nose, larger faces overall, and increased fluctuating asymmetry were rated as significantly (P < .001) less attractive.
Perceptions of facial attractiveness can be explained by specific 3D measurements of facial shapes and fluctuating asymmetry, which have important implications for clinical practice and research.
满足患者对面部美学提升的需求,要求医疗服务提供者具备标准化且客观的美学测量方法。作者评估了从三维(3D)面部图像得出的客观3D面部形状和不对称性测量结果对面部吸引力认知的影响。
对爱荷华州313名成年人的3D面部图像进行数字化处理,标记32个地标点,并通过地理形态分析从3D坐标数据中获取客观的3D面部测量结果,以捕捉形状变化、质心大小和波动不对称性的对称和不对称成分。10名志愿者(5名女性和5名男性)使用5点李克特量表和视觉模拟量表对研究参与者的正面和侧面图像的面部吸引力进行评分。采用多元回归分析来确定客观3D面部测量结果对吸引力评分的影响。
多项客观3D面部测量结果对吸引力评分有显著影响。面部高度较短且下巴突出、中面部后缩、鼻子突出且嘴唇较薄、下颌平面平坦且唇颏沟较深、口角和鼻底有任何倾斜、整体面部较大以及波动不对称性增加的面部被评为吸引力显著较低(P < .001)。
面部吸引力的认知可以通过面部形状的特定3D测量结果和波动不对称性来解释,这对临床实践和研究具有重要意义。