南非硬组织外耳道和软组织耳的几何形态计量学评估

Q3 Medicine
Meg-Kyla Erasmus, Ericka Noelle L’Abbé, Alison Fany Ridel
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引用次数: 0

摘要

对于如何可靠地重建用于面部近似的耳朵形状的研究是有限的,特别是在南非等国家,标准耳模仍然在手工方法中使用。为了提高客观性,计算机辅助方法正在开发用于面部近似-这需要广泛的人口特定的面部特征形态学数据集。本研究旨在通过分析40名南非黑人(男性n = 17;女性23人)和76名南非白人(男性29人;女性n = 47),年龄在18至90岁之间。形状数据是通过在耳朵的三维重建上放置19个囊状标记和沿着EAM滑动的46个颅形标记来收集的。几何形态计量学分析显示,群体亲和性在不同群体之间的耳形差异非常显著(p值= 0.001),而性别和年龄仅在南非白人之间显著(p值<0.05)。在EAM中,只有群体亲和性显著影响形状(p值= 0.001),耳朵和EAM都显示出显著的对称性(p值= 0.007)。虽然一只耳朵永远不可能被精确地复制出来,但根据死者的生物特征对面部进行估计可以获得尽可能高的准确性。具体来说,对于耳朵形状,性别和年龄在创建预测模型时不是优先考虑的因素,但种群亲和力将极大地影响输出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A geometric morphometric assessment of the hard tissue external auditory meatus and soft tissue ear of South Africans

Research on how to reliably reconstruct the shape of the ear for facial approximations is limited, especially in countries such as South Africa where standard ear casts are still used in manual methods. To improve objectivity, computer aided methods are being developed for facial approximations – which require extensive population specific datasets for facial feature morphology. This study aims to assess variations in the shape of the ear and the underlying external auditory meatus (EAM) through the analysis of cone-beam computed tomography (CBCT) scans of 40 black South Africans (males n = 17; females n = 23) and 76 white South Africans (males n = 29; females n = 47) between the ages of 18 and 90 years. Shape data was collected by placing 19 capulometric landmarks on the 3D reconstructions of the ear and 46 sliding craniometric landmarks along the EAM. Geometric morphometric analysis revealed highly significant variation in ear shape between groups for population affinity (p-value = 0.001), while sex and age were only significant between the white South Africans (p-value < 0.05). Only population affinity significantly influenced shape in the EAM (p-value = 0.001), and both the ear and EAM showed significant levels of symmetry (p-value = 0.007). While an ear will never be exactly recreated, basing facial estimates on the decedent’s biological profile can lead towards the highest possible accuracies. For the ear shape specifically, sex and age will not be a priority when creating predictive models, but population affinity will greatly influence the output.

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来源期刊
Forensic Science International: Reports
Forensic Science International: Reports Medicine-Pathology and Forensic Medicine
CiteScore
2.40
自引率
0.00%
发文量
47
审稿时长
57 days
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