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镜像与重叠分析及三维软组织空间角度线框模板在评估面部不对称性中的比较

Comparison of Mirroring and Overlapping Analysis and Three-Dimensional Soft Tissue Spatial Angle Wireframe Template in Evaluating Facial Asymmetry.

作者信息

Yang Gengchen, Lyu Liang, Wen Aonan, Zhao Yijiao, Wang Yong, Li Jing, Yan Huichun, Zhang Mingjin, Yu Yi, Yu Tingting, Liu Dawei

机构信息

Department of Orthodontics, Peking University School and Hospital of Stomatology, National Center of Stomatology, Beijing 100081, China.

National Clinical Research Center for Oral Diseases, National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing 100081, China.

出版信息

Bioengineering (Basel). 2025 Jan 16;12(1):79. doi: 10.3390/bioengineering12010079.

Abstract

AIM

The purpose of this study was to evaluate the accuracy and efficacy of a new wireframe template methodology in analyzing three-dimensional facial soft tissue asymmetry.

MATERIALS AND METHODS

Three-dimensional facial soft tissue data were obtained for 24 patients. The wireframe template was established by identifying 34 facial landmarks and then forming a template on the face with the MeshLab 2020 software. The angle asymmetry index was automatically scored using the template. The mirroring and overlapping technique is accepted as the golden standard method to diagnose facial asymmetry by acquiring deviation values of one's face. Consistency rates between the two methodologies were determined through a statistical comparison of the angle asymmetry index and deviation values.

RESULTS

Overall consistency rates in the labial, mandibular angle, cheek, chin, and articular regions were 87.5%, 95.8%, 87.5%, 91.7%, and 100%, respectively. Regions with consistency rates in three dimensions of more than 85% are the -axis and the -axis of all regions and the -axis of the mandibular angle, chin, and articular region.

CONCLUSIONS

Soft tissue facial asymmetry can be diagnosed accurately and effectively by using a three-dimensional soft tissue spatial angle wireframe template. Precise localization of asymmetry can be offered, and indiscernible tiny asymmetry can be identified.

摘要

目的

本研究旨在评估一种新的线框模板方法在分析三维面部软组织不对称方面的准确性和有效性。

材料与方法

获取了24例患者的三维面部软组织数据。通过识别34个面部标志点,然后使用MeshLab 2020软件在面部形成模板,从而建立线框模板。使用该模板自动对面部不对称指数进行评分。镜像和重叠技术被公认为通过获取面部偏差值来诊断面部不对称的金标准方法。通过对面部不对称指数和偏差值进行统计比较,确定两种方法之间的一致性率。

结果

唇部、下颌角、脸颊、下巴和关节区域的总体一致性率分别为87.5%、95.8%、87.5%、91.7%和100%。三维一致性率超过85%的区域为所有区域的x轴和y轴以及下颌角、下巴和关节区域的z轴。

结论

使用三维软组织空间角度线框模板可准确有效地诊断面部软组织不对称。可以提供不对称的精确定位,并识别难以察觉的微小不对称。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e088/11761234/187797d9d68d/bioengineering-12-00079-g001.jpg

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