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基于三维计算机断层扫描髋骨模型的形态学性别估计及其在骨骼遗骸中的验证

Morphometric sex estimation from 3D computed tomography os coxae model and its validation in skeletal remains.

作者信息

Djorojevic Mirjana, Roldán Concepción, García-Parra Patricia, Alemán Inmaculada, Botella Miguel

机构信息

Department of Legal Medicine, Toxicology and Physical Anthropology, University of Granada, 11 Madrid Av., Granada, 18012, Spain,

出版信息

Int J Legal Med. 2014 Sep;128(5):879-88. doi: 10.1007/s00414-014-1033-x. Epub 2014 Jun 14.

Abstract

In the last decade, the advances in imaging technologies have intensified the use of multislice computed tomography (MSCT) for anthropological purposes. The published literature has proved it to be a suitable tool for establishing sexually dimorphic characteristics in different anatomical areas. In this context, the main purpose of the present study was to explore the accuracy of traditional morphometric method when applied to data acquired in three-dimensional (3D) reconstructed os coxae of living Spanish population, to develop a series of statistically robust patterns for sex assessment and to test their validity in innominate remains. For this purpose, 150 volume-rendered innominate CT scans were selected to examine nine interlandmark linear distances by means of descriptive statistics and discriminant function analyses (DFA) employing the jackknife procedure for cross-validations. Five measurements were sexually dimorphic. Acetabular diameter was the single most accurate predictor. This, combined with innominate height and innominate breadth, contributed very significantly to sex estimation. Overall, classification accuracies were 89.3-95.3 % (89.3-94.7 % after cross-validation), with a sex-bias lower than 5 %. The second validation approach performed on a sample of 96 individuals from another contemporary Spanish reference collection comprising dry bones showed the high percentage of accurate classification (83.3-95.8 %). In conclusion, the assessment of sex using cross-sectional MSCT images of the os coxae is possible and the discriminant functions obtained on Spanish living individuals can also be effective for estimating sex from skeletal remains.

摘要

在过去十年中,成像技术的进步加强了多层螺旋计算机断层扫描(MSCT)在人类学研究中的应用。已发表的文献证明,它是确定不同解剖区域性别二态特征的合适工具。在此背景下,本研究的主要目的是探讨传统形态测量方法应用于西班牙现有人口三维(3D)重建髋骨数据时的准确性,开发一系列具有统计学稳健性的性别评估模式,并在无名骨骼残骸中检验其有效性。为此,选择了150例容积再现的无名CT扫描图像,通过描述性统计和判别函数分析(DFA),采用留一法交叉验证来检查九个界标间的线性距离。五项测量具有性别二态性。髋臼直径是最准确的单一预测指标。将其与无名骨高度和无名骨宽度相结合,对性别估计有非常显著的贡献。总体而言,分类准确率为89.3 - 95.3%(交叉验证后为89.3 - 94.7%),性别偏差低于5%。对来自另一个当代西班牙参考样本(包含96具干燥骨骼)的样本进行的第二次验证方法显示,准确分类的比例很高(83.3 - 95.8%)。总之,利用髋骨的横断面MSCT图像进行性别评估是可行的,并且在西班牙现有人群中获得的判别函数也可有效地用于从骨骼残骸中估计性别。

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