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What we see is what we touch? Sex estimation on the pelvis in virtual anthropology

BACKGROUND: Computed tomography (CT) scans are a convenient means to study 3D reconstructions of bones. However, errors associated with the different nature of the observation, e.g. visual and tactile (on dry bone) versus visual only (on a screen) have not been thoroughly investigated. MATERIALS AND...

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Autores principales: Braun, Sandra, Schwendener, Nicole, Kanz, Fabian, Lösch, Sandra, Milella, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10567926/
https://www.ncbi.nlm.nih.gov/pubmed/37336820
http://dx.doi.org/10.1007/s00414-023-03034-w
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author Braun, Sandra
Schwendener, Nicole
Kanz, Fabian
Lösch, Sandra
Milella, Marco
author_facet Braun, Sandra
Schwendener, Nicole
Kanz, Fabian
Lösch, Sandra
Milella, Marco
author_sort Braun, Sandra
collection PubMed
description BACKGROUND: Computed tomography (CT) scans are a convenient means to study 3D reconstructions of bones. However, errors associated with the different nature of the observation, e.g. visual and tactile (on dry bone) versus visual only (on a screen) have not been thoroughly investigated. MATERIALS AND METHODS: We quantified the errors between modalities for sex estimation protocols of nonmetric (categorical and ordinal) and metric data, using 200 dry pelves of archaeological origin and the CT reconstructions of the same bones. In addition, we 3D surface scanned a subsample of 39 pelves to compare observations with dry bone and CT data. We did not focus on the sex estimation accuracy but solely on the consistency of the scoring, hence, the interchangeability of the modalities. RESULTS: Metric data yielded the most consistent results. Among the nonmetric protocols, ordinal data performed better than categorical data. We applied a slightly modified description for the trait with the highest errors and grouped the traits according to consistency and availability in good, intermediate, and poor. DISCUSSION: The investigated modalities were interchangeable as long as the trait definition was not arbitrary. Dry bone (gold standard) performed well, and CT and 3D surface scans performed better. We recommend researchers test their affinity for using virtual modalities. Future studies could use our consistency analysis and combine the best traits, validating their accuracy on various modalities.
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spelling pubmed-105679262023-10-13 What we see is what we touch? Sex estimation on the pelvis in virtual anthropology Braun, Sandra Schwendener, Nicole Kanz, Fabian Lösch, Sandra Milella, Marco Int J Legal Med Original Article BACKGROUND: Computed tomography (CT) scans are a convenient means to study 3D reconstructions of bones. However, errors associated with the different nature of the observation, e.g. visual and tactile (on dry bone) versus visual only (on a screen) have not been thoroughly investigated. MATERIALS AND METHODS: We quantified the errors between modalities for sex estimation protocols of nonmetric (categorical and ordinal) and metric data, using 200 dry pelves of archaeological origin and the CT reconstructions of the same bones. In addition, we 3D surface scanned a subsample of 39 pelves to compare observations with dry bone and CT data. We did not focus on the sex estimation accuracy but solely on the consistency of the scoring, hence, the interchangeability of the modalities. RESULTS: Metric data yielded the most consistent results. Among the nonmetric protocols, ordinal data performed better than categorical data. We applied a slightly modified description for the trait with the highest errors and grouped the traits according to consistency and availability in good, intermediate, and poor. DISCUSSION: The investigated modalities were interchangeable as long as the trait definition was not arbitrary. Dry bone (gold standard) performed well, and CT and 3D surface scans performed better. We recommend researchers test their affinity for using virtual modalities. Future studies could use our consistency analysis and combine the best traits, validating their accuracy on various modalities. Springer Berlin Heidelberg 2023-06-19 2023 /pmc/articles/PMC10567926/ /pubmed/37336820 http://dx.doi.org/10.1007/s00414-023-03034-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Braun, Sandra
Schwendener, Nicole
Kanz, Fabian
Lösch, Sandra
Milella, Marco
What we see is what we touch? Sex estimation on the pelvis in virtual anthropology
title What we see is what we touch? Sex estimation on the pelvis in virtual anthropology
title_full What we see is what we touch? Sex estimation on the pelvis in virtual anthropology
title_fullStr What we see is what we touch? Sex estimation on the pelvis in virtual anthropology
title_full_unstemmed What we see is what we touch? Sex estimation on the pelvis in virtual anthropology
title_short What we see is what we touch? Sex estimation on the pelvis in virtual anthropology
title_sort what we see is what we touch? sex estimation on the pelvis in virtual anthropology
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10567926/
https://www.ncbi.nlm.nih.gov/pubmed/37336820
http://dx.doi.org/10.1007/s00414-023-03034-w
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