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基于中国现代成年人三维图像的唇部形态估计模型。

Lip morphology estimation models based on three-dimensional images in a modern adult population from China.

机构信息

Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, 98 XiWu Road, Xi'an, 710004, Shaanxi, People's Republic of China.

Department of Orthodontics, Stomatological Hospital of Xi'an Jiaotong University, 98 XiWu Road, Xi'an, 710004, Shaanxi, People's Republic of China.

出版信息

Int J Legal Med. 2021 Sep;135(5):1887-1901. doi: 10.1007/s00414-021-02559-2. Epub 2021 Mar 24.

Abstract

Lips are the main part of the lower facial soft tissue and are vital to forensic facial approximation (FFA). Facial soft tissue thickness (FSTT) and linear measurements in three dimensions are used in the quantitative analysis of lip morphology. With most FSTT analysis methods, the surface of soft tissue is unexplicit. Our study aimed to determine FSTT and explore the relationship between the hard and soft tissues of lips in different skeletal occlusions based on cone-beam CT (CBCT) and 3dMD images in a Chinese population. The FSTT of 11 landmarks in CBCT and 29 lip measurements in CBCT and 3dMD of 180 healthy Chinese individuals (90 males, 90 females) between 18 and 30 years were analyzed. The subjects were randomly divided into two groups with different skeletal occlusions distributed equally: 156 subjects in the experimental group to establish the prediction regression formulae of lip morphology and 24 subjects in the test group to assess the accuracy of the formulae. The results indicated that FSTT in the lower lip region varied among different skeletal occlusions. Furthermore, sex discrepancy was noted in the FSTT in midline landmarks and linear measurements. Measurements showing the highest correlation between soft and hard tissues were between total upper lip height and Ns-Pr (0.563 in males, 0.651 in females). The stepwise multiple regression equations were verified to be reliable with an average error of 1.246 mm. The method of combining CBCT with 3dMD provides a new perspective in predicting lip morphology and expands the database for FFA.

摘要

嘴唇是面下软组织的主要部分,对口颌面部形态学分析(Forensic Facial Approximation,FFA)至关重要。面部软组织厚度(Facial Soft Tissue Thickness,FSTT)和三维线性测量用于唇形态的定量分析。在大多数 FSTT 分析方法中,软组织表面不明确。本研究旨在基于中国人群的锥形束 CT(Cone-Beam CT,CBCT)和 3dMD 图像,确定 FSTT,并探索不同骨骼咬合状态下唇的硬组织和软组织之间的关系。对 180 名 18-30 岁健康中国个体(90 名男性,90 名女性)的 CBCT 中的 11 个标志点的 FSTT 和 CBCT 及 3dMD 中的 29 个唇测量值进行了分析。受试者随机分为两组,每组均有不同的骨骼咬合分布:156 名受试者用于建立唇形态预测回归公式,24 名受试者用于评估公式的准确性。结果表明,不同骨骼咬合状态下唇部的 FSTT 存在差异。此外,中线标志点和线性测量的 FSTT 存在性别差异。软、硬组织相关性最高的测量值为上唇总高度与 Ns-Pr 之间的相关性(男性为 0.563,女性为 0.651)。逐步多元回归方程经验证可靠,平均误差为 1.246mm。CBCT 与 3dMD 相结合的方法为预测唇形态提供了新的视角,并扩展了 FFA 的数据库。

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