Deng Chuwei, Wang Dongmiao, Chen Ji, Li Kai, Yang Ming, Chen Zhuoyue, Zhu Zhengyang, Yin Caiyong, Chen Peng, Cao Dan, Yan Bin, Chen Feng
Department of Forensic Medicine, Nanjing Medical University, Nanjing, Jiangsu 210029, China.
Department of Oral and Maxillofacial Surgery, Affiliated Hospital of Stomatology, Nanjing Medical University, Nanjing 210029, China; Jiangsu Key Laboratory of Oral Disease, Nanjing Medical University, Nanjing 210029, China.
Leg Med (Tokyo). 2020 Mar 16;44:101693. doi: 10.1016/j.legalmed.2020.101693.
Facial approximation plays a vital role in personal identification when other methods cannot be applied, and the study on facial soft tissue thickness (FSTT) is important to allow more accurate facial approximation. The Cone-Beam CT (CBCT) is considered to be an accurate approach in assessing FSTT, however only few studies have assessed the FSTT norms by CBCT in Chinese populations. The aim of this study was to (1) establish forensic measurement approach on a 3D model reconstructed by CBCT image; (2) obtain FSTT norms from the adults of Yangtze River delta Han population; (3) determine the impacts of sex, age, BMI as well as malocclusion type on FSTT and (4) form a FSTT database through CBCT. A total of 60 facial landmarks were primarily established from 3D reconstructed models from CBCT images of 424 healthy Han adults (130 males and 294 females) aged from 21 to 50 years in Yangtze River delta region and measurements were carried out. The multivariate analysis of variance test and multiple linear regressions test showed that the FSTT values on most landmarks were significantly different between sexes and BMI, and males showed greater values, expect for the landmarks distributed in malarzygomatic areas. Simultaneously, BMI mostly affected the landmarks located in zygomatic region. Besides, only a few landmarks were influenced by age. Interestingly, several periodontal landmarks were influenced by malocclusion types, thus the impact of malocclusion types on FSTT requires attention. Finally, the validation analysis suggested that measurement approach is an important factor for FSTT.
当无法应用其他方法时,面部复原在个人身份识别中起着至关重要的作用,而对面部软组织厚度(FSTT)的研究对于实现更准确的面部复原非常重要。锥形束CT(CBCT)被认为是评估FSTT的一种准确方法,然而,仅有少数研究通过CBCT评估了中国人群的FSTT标准。本研究的目的是:(1)在由CBCT图像重建的三维模型上建立法医测量方法;(2)获取长江三角洲汉族成年人的FSTT标准;(3)确定性别、年龄、体重指数(BMI)以及错牙合类型对FSTT的影响;(4)通过CBCT形成一个FSTT数据库。从长江三角洲地区424名年龄在21至50岁之间的健康汉族成年人(130名男性和294名女性)的CBCT图像的三维重建模型中初步确定了总共60个面部标志点,并进行了测量。多变量方差分析测试和多元线性回归测试表明,除了分布在颧颊区域的标志点外,大多数标志点的FSTT值在性别和BMI之间存在显著差异,男性的值更大。同时,BMI主要影响位于颧骨区域的标志点。此外,只有少数标志点受年龄影响。有趣的是,几个牙周标志点受错牙合类型影响,因此错牙合类型对FSTT的影响需要关注。最后,验证分析表明测量方法是FSTT的一个重要因素。