Lyu Liang, Zhang Ming-Jin, Wen Ao-Nan, Wang Shuo, Zhao Yi-Jiao, Yu Ting-Ting, Liu Dawei
Department of Orthodontics, Peking University School and Hospital of Stomatology & National Center of Stomatology, Beijing, China.
National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing, China.
Heliyon. 2024 Feb 23;10(5):e26734. doi: 10.1016/j.heliyon.2024.e26734. eCollection 2024 Mar 15.
Facial asymmetry is a common problem seen in orthodontic clinics that may affect patient esthetics. In some instances, severe asymmetry that affects patient esthetics may cause psychological issues. An objective method is therefore required to help orthodontists identify asymmetry issues.
We used three-dimensional (3D) facial images and landmark-based anthropometric analysis to construct a 3D facial mask to evaluate asymmetry. The landmark coordinates were transformed using a symmetric 3D face model to evaluate the efficacy of this method. Patients with facial asymmetry were recruited to conduct mirror and overlap analysis to form color maps, which were used to verify the utility of the novel soft tissue landmark-based method.
The preliminary results demonstrated that the asymmetry evaluation method had a similar response rate compared to diagnosis using mirror and overlap 3D images, and could therefore identify 3D asymmetry problems.
By using 3D facial scans and 3D anthropometric analysis, we developed a preliminary evaluation method that provides objective parameters to clinically evaluate patient facial asymmetry and aid in the diagnosis of asymmetric areas.
This study presents a novel facial asymmetry diagnostic method that has the potential to aid clinical decisions during problem identification, treatment planning, and efficacy evaluation.
面部不对称是正畸诊所中常见的问题,可能会影响患者的美观。在某些情况下,严重的不对称影响患者美观可能会导致心理问题。因此,需要一种客观的方法来帮助正畸医生识别不对称问题。
我们使用三维(3D)面部图像和基于标志点的人体测量分析来构建3D面部模型以评估不对称性。使用对称的3D面部模型变换标志点坐标以评估该方法的有效性。招募面部不对称患者进行镜像和重叠分析以形成彩色地图,用于验证基于新型软组织标志点方法的实用性。
初步结果表明,与使用镜像和重叠3D图像进行诊断相比,不对称评估方法具有相似的响应率,因此能够识别3D不对称问题。
通过使用3D面部扫描和3D人体测量分析,我们开发了一种初步评估方法,该方法提供客观参数以临床评估患者面部不对称性并辅助诊断不对称区域。
本研究提出了一种新型面部不对称诊断方法,有可能在问题识别、治疗计划和疗效评估期间辅助临床决策。