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基于巴西颅骨形态分析的祖源估计方法的应用。

Application of an ancestrality estimate method through morphoscopic analysis of Brazilian skulls.

机构信息

Community Dentistry Department, School of Dentistry, Universidade de São Paulo (FOUSP), São Paulo, São Paulo, Brazil.

Institute of Teaching and Research in Forensic Sciences, São Paulo, São Paulo, Brazil.

出版信息

J Forensic Odontostomatol. 2022 Aug 30;40(2):2-9.

Abstract

The objective of the investigation was to test a technique originating in the United States to verify the accuracy of the ancestry estimate in a sample of Brazilian skulls. The sample consisted of 120 skulls of Brazilian adults from the collection of the Institute of Education and Research in Forensic Sciences (IEPCF), Guarulhos-SP, Brazil, with ancestry determined by routine examination. In the skull, the following structures were analyzed: anterior nasal spine (ANS), inferior nasal aperture (INA), interorbital breadth (IOB) nasal aperture width (NAW), nasal bone structure (NBS), and post bregmatic depression (PBD). The Hefner and Ousley technique was applied to classify ancestry. Data were registered and correctness percentage was obtained. To improve ancestry prediction, Machine Learning techniques were used. Regarding the error of the studied method and the correctness of the complete sample, the study presented a percentage above 50%, with values such as 56.33% for whites and 53.07% for non-whites. The most frequent ANS parameter was marked (37.5%), INA straight (31.7%), IOB wide (38.3%), NAW medium (32.5%) NBS triangular (29.2%), and PBD present (78.3%). The application of the method in the sample of the study showed a limitation to estimate ancestry, suggesting a need for adaptation for its applicability in the Brazilian population.

摘要

研究目的是验证源自美国的一种技术,以验证巴西颅骨样本中祖先估计的准确性。该样本由来自巴西瓜鲁柳斯的教育和研究法医科学研究所(IEPCF)的 120 具巴西成年人颅骨组成,其祖先通过常规检查确定。在颅骨中,分析了以下结构:前鼻棘(ANS)、下鼻口(INA)、眶间宽度(IOB)、鼻口宽度(NAW)、鼻骨结构(NBS)和后额骨凹陷(PBD)。应用赫夫纳和奥斯曼技术对祖先进行分类。记录数据并获得正确性百分比。为了提高祖先预测的准确性,使用了机器学习技术。关于研究方法的错误和完整样本的正确性,该研究的百分比高于 50%,例如白人的 56.33%和非白人的 53.07%。最常见的 ANS 参数为标记(37.5%)、INA 直(31.7%)、IOB 宽(38.3%)、NAW 中等(32.5%)、NBS 三角形(29.2%)和 PBD 存在(78.3%)。该方法在研究样本中的应用表明其在估计祖先方面存在局限性,表明需要进行调整以使其适用于巴西人群。

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本文引用的文献

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