Head and Neck Department, IRCCS Fondazione Policlinico "A. Gemelli," Università Cattolica del Sacro Cuore, Rome, Italy.
Department of Biomedical and Dental Sciences and Morphofunctional Imaging, Section of Orthodontics, University of Messina, Messina, Italy.
Am J Orthod Dentofacial Orthop. 2022 Sep;162(3):394-402. doi: 10.1016/j.ajodo.2021.04.030. Epub 2022 May 11.
Facial asymmetry is common and can be clinically related to dental malocclusion, facial bone development, muscular imbalance, and soft tissues thickness, which should be assessed during diagnosis to choose proper treatment options. This study aimed to quantify the amount of symmetry/asymmetry in previously defined symmetrical and asymmetrical subjects, analyzing full-face 3-dimensional images.
Seventy-six orthodontic patients' 3-dimensional face images were obtained with the 3dMD Trio-system (Atlanta, Ga) and processed with the Geomagic Control (64-bit; 3D Systems, Rock Hill, SC) software. Patients were divided into symmetrical and asymmetrical groups through a surface-based technique. Sixteen facial landmarks were positioned, an asymmetry index was calculated for each landmark, and an evaluation diagram of facial asymmetry was created through the asymmetry index mean and standard deviation of symmetrical and asymmetrical landmarks.
The asymmetry index mean varied from 0.05 to 1.51 in the symmetrical group and from 0.05 to 2.84 in the asymmetrical group. This study suggests that landmarks located in the lower third of the face have a greater asymmetry index than other landmarks.
The landmark-based technique does not exhibit statistically significant differences among asymmetrical and symmetrical patients for some landmarks. This approach provides useful information about the localization and the extension of asymmetry, in which bilateral landmarks showed a higher amount of asymmetry than median landmarks.
面部不对称较为常见,可能与错牙合畸形、颌骨发育、肌肉失衡和软组织厚度有关,在诊断时应评估这些因素,以选择合适的治疗方案。本研究旨在通过分析全脸三维图像,定量评估对称和不对称患者的对称/不对称程度。
采用 3dMD Trio 系统(亚特兰大,佐治亚州)获取 76 名正畸患者的三维面部图像,并使用 Geomagic Control(64 位;3D Systems,罗克希尔,南卡罗来纳州)软件进行处理。通过基于表面的技术将患者分为对称组和不对称组。定位 16 个面部标志点,计算每个标志点的不对称指数,并通过对称和不对称标志点的不对称指数均值和标准差创建面部不对称评估图。
对称组的不对称指数均值范围为 0.05 至 1.51,不对称组的范围为 0.05 至 2.84。本研究表明,位于面下 1/3 的标志点具有比其他标志点更大的不对称指数。
基于标志点的技术对于某些标志点,在不对称和对称患者之间没有表现出统计学上的显著差异。该方法提供了关于不对称的定位和扩展的有用信息,其中双侧标志点的不对称程度高于中线标志点。