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通过偏差分析对混合的第一跗跖关节和寰枢关节进行检查。

An examination of commingled first tarsometatarsal and atlantoaxial joints by deviation analysis.

作者信息

Litavec Helen

机构信息

Harris County Institute of Forensic Sciences, Houston, Texas, USA.

出版信息

J Forensic Sci. 2025 Mar;70(2):649-668. doi: 10.1111/1556-4029.15696. Epub 2024 Dec 25.

Abstract

This study follows up on previous research conducted by Litavec (J Forensic Sci., 68, 2023, 1780) on sorting commingled sacroiliac joints using deviation analysis. In the present report, the results of this technique are expanded to separating commingled first tarsometatarsal and atlantoaxial joints. Following the methods of Litavec (J Forensic Sci., 68, 2023, 1780), virtual models were created at the University of Tennessee-Knoxville Donated Skeletal Collection from 69 atlases and axes, 66 first metatarsals, and 64 medial cuneiforms using an EinScan-Pro 2x+ Handheld Surface Scanner. The shape and congruency of the articular surfaces were analyzed using a deviation analysis in Geomagic Wrap 2021. Receiver operating characteristic curves were conducted on reference samples composed of 200 commingled and non-commingled bone pairs per joint to identify threshold values for sorting the remains. Validation samples of 225 pairs were subsequently analyzed to identify the efficacy of this method on a sample of unknown individuals. The statistical analyses confirmed that deviation analysis values from commingled first tarsometatarsal and atlantoaxial joint pairs were significantly larger than those from non-commingled individuals (p < 0.0001). 87%-92% of first tarsometatarsal pairs and 63%-66% of atlantoaxial joint pairs were correctly sorted based on the selected threshold values. This study increases the number of joints able to be sorted by deviation analysis and reemphasizes its value as a technique for resolving commingled human remains.

摘要

本研究是对利塔韦克(《法医学杂志》,68卷,2023年,第1780页)先前关于使用偏差分析对混合的骶髂关节进行分类的研究的跟进。在本报告中,该技术的结果扩展到分离混合的第一跖跗关节和寰枢关节。按照利塔韦克(《法医学杂志》,68卷,2023年,第1780页)的方法,在田纳西大学诺克斯维尔分校捐赠骨骼收藏馆,使用EinScan-Pro 2x+手持式表面扫描仪,从69个寰椎和枢椎、66个第一跖骨以及64个内侧楔骨创建了虚拟模型。在Geomagic Wrap 2021中使用偏差分析对关节面的形状和一致性进行了分析。对每个关节由200对混合和未混合骨组成的参考样本进行了受试者工作特征曲线分析,以确定用于分类遗骸的阈值。随后对225对验证样本进行了分析,以确定该方法在未知个体样本上的有效性。统计分析证实,混合的第一跖跗关节和寰枢关节对的偏差分析值显著大于未混合个体的偏差分析值(p < 0.0001)。根据选定的阈值,87%-92%的第一跖跗关节对和63%-66%的寰枢关节对被正确分类。本研究增加了能够通过偏差分析进行分类的关节数量,并再次强调了其作为解决混合人类遗骸的一种技术的价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2704/11874237/daee8f51719a/JFO-70-649-g004.jpg

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