[根据牙齿和下巴来估计身高]。

Archiv fur Kriminologie Pub Date : 2017-01-01
Ralf Gille, Frank Ramsthaler, Michael Thali, Julia Strunk, Christoph G Birngruber, Marcel A Verhoff
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引用次数: 0

摘要

在人类骨骼遗骸被发现后,对身高的估计是所谓“生物剖面”的重要组成部分。通常,在回归公式中使用长骨长度。如果没有长骨,就无法预测身高。人类头骨经常是法医骨学检查的对象,有时甚至是分离的。因此,寻找与身高有足够好的相关性的头骨尺寸似乎是合理的。本研究的目的是利用死后CT数据来测量牙颌参数,以检查是否可能在此基础上估计身高。三维经典牙(医学博士,提单,ZL),两个斜齿维度(MBDL DBML)隆德Mornstad并于1999年首次描述了两个牙齿维度定义在这个研究首次(MKDO DKMO) mesiodistal指数(MDS)和腭弓维度(弓长度、拱宽度,摩尔长度和牙科)——每个在上颌和下颌——数字化测量799牙齿的48个虚拟3-D-reconstructed头骨男性和15个女性(33)。对于上述大多数测量,没有发现与身高有统计学意义的关系。在三个测量:zl15、MKDO 14和MKDO 15中,Pearson的显著性水平为99%(双侧)。在95%(双侧)的显著性水平上,可以确定8个测量值的Pearson正相关,但无法为任何参数计算出适用的回归公式。尽管一些牙齿参数与体长有统计相关性,但它们必须被认为不适合估计身高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Stature estimation from teeth and jaw].

After the discovery of skeletonized human remains, the estimation of stature is an important element of the so-called "biological profile". Typically, long bone lengths are used in regression formulas. If long bones are not available, predictions of stature cannot be made. Human skulls are often the subject of forensic osteological examination, sometimes even detached. Therefore, it seems reasonable to search for skull measurements that have a sufficiently good correlation to stature. The aim of the study presented was to measure odonto-stomatological parameters using post-mortem CT data to check whether the esti- mation of stature was possible on this basis. Three classic tooth dimensions (MD, BL, ZL), two diagonal tooth dimensions (MBDL, DBML) first described by Lund and Mörnstad in 1999, two tooth dimensions defined for the first time in this study (MKDO, DKMO), the mesiodistal index (MDS) and also the palatal arch dimensions (arch length, arch width, molar length and dental length) - each at maxilla and mandible - were digitally measured on a total of 799 teeth of 48 virtual 3-D-reconstructed skulls (33 males and 15 females). For most of the aforementioned measurements no statistically significant relation to stature was found. There were positive correlations by Pearson at a significance level of 99 % (2-sided) at three measurements: ZL 15, MKDO 14 and MKDO 15. Positive correlations by Pearson at a significance level of 95 % (2-sided) could be determined for eight measurements, but an applicable regression formula could not be calculated for any of the parameters. Despite a statistical correlation of a few teeth parameters with body length, they must be considered unsuitable for estimating stature.

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