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Comparison of measurements made on dry bone and digital measurements in Anatomage for the sacral bone in a Spanish population

The use of osteometry for human identification is a key element in the field of forensic sciences. Currently, the osteometry focuses on the use of digital techniques such as photography or 3D scans, to study and measure bones, offering advantages like easy access, preservation of bones, and worldwid...

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Bibliographic Details
Published in:Scientific reports 2023-11, Vol.13 (1), p.20578-20578, Article 20578
Main Authors: Gaya-Sancho, B., Sanjuan-Sánchez, D., Ráfales-Perucha, A., Zaurín-Paniagua, L., Sáez-Gutiérrez, B., Galarreta-Aperte, S.
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Language:English
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Summary:The use of osteometry for human identification is a key element in the field of forensic sciences. Currently, the osteometry focuses on the use of digital techniques such as photography or 3D scans, to study and measure bones, offering advantages like easy access, preservation of bones, and worldwide collaboration possibilities. The study aims to analyze whether digital tools such as Anatomage can be used to collect reliable data. The study compares measurements of the sacral bone from 41 individuals from Orgiva Collection using both traditional and digital methods. The variables analyzed were described previously, including landmarks and positions, and were coded by differentiating the measurements between dry bone (caliper) and digital measurement (Anatomage). Results indicate minimal differences between digital and dry bone measurements, with only one variable showing a significant differences in the effect size analysis (d > 0.80). The TEM analysis showed four variables as non-acceptable (rTEM > 1.5), possibly due to the landmark location or the experience using the tool to locate landmarks. Digital resources are valuable for morphometric evaluations and human identification within forensic sciences. However, caution is necessary to ensure accurate landmark localization and validate these tools across various bone types and larger sample sizes.
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-023-48013-8