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A new method for sex estimation from maxillary suture length in a Thai population
Sex estimation is one of the crucial procedures in the biological profile identification of human skeletal remains. Knowing sex of unknown case can lead to accurate and appropriate methods for predicting age, stature, ancestry, or even personal identification. Skull is one of the most reliable one a...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Association of Anatomists
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5768562/ https://www.ncbi.nlm.nih.gov/pubmed/29354297 http://dx.doi.org/10.5115/acb.2017.50.4.261 |
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author | Sinthubua, Apichat Ruengdit, Sittiporn Das, Srijit Mahakkanukrauh, Pasuk |
author_facet | Sinthubua, Apichat Ruengdit, Sittiporn Das, Srijit Mahakkanukrauh, Pasuk |
author_sort | Sinthubua, Apichat |
collection | PubMed |
description | Sex estimation is one of the crucial procedures in the biological profile identification of human skeletal remains. Knowing sex of unknown case can lead to accurate and appropriate methods for predicting age, stature, ancestry, or even personal identification. Skull is one of the most reliable one among other skeletons and it is usually retained for both archaeological and forensic contexts. Although many morphological features and metric measurements of skull have been studied for sexing, but to the best of our knowledge is no study on maxillary suture length for sex estimation. Therefore, this study aims to develop a new sex estimation method for a Thai population by determining three maxillary suture lengths: anterior, transverse, and posterior maxillary suture, by computerizing amount of pixel obtained from photographs of these sutures. The present study was conducted on 190 Thai bone samples of which 96 were males and 94 were females. Independent t test revealed statistically significant difference (P<0.01) between males and females in all maxillary suture measurements. Equations derived from prediction model, which required three maxillary suture lengths gave 76.8421% accuracy from the leave-one-out cross validation in estimating sex percentage accuracies in predicting sex from these equations, which were relatively moderate. This study provides a novel and objective sex estimation method for Thais. It suggests that maxillary suture length can be applied for sex estimation. The new computerized technique will contribute basis knowledge and method for sex estimation, especially when only base of skull is available in forensic circumstance. |
format | Online Article Text |
id | pubmed-5768562 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Korean Association of Anatomists |
record_format | MEDLINE/PubMed |
spelling | pubmed-57685622018-01-21 A new method for sex estimation from maxillary suture length in a Thai population Sinthubua, Apichat Ruengdit, Sittiporn Das, Srijit Mahakkanukrauh, Pasuk Anat Cell Biol Original Article Sex estimation is one of the crucial procedures in the biological profile identification of human skeletal remains. Knowing sex of unknown case can lead to accurate and appropriate methods for predicting age, stature, ancestry, or even personal identification. Skull is one of the most reliable one among other skeletons and it is usually retained for both archaeological and forensic contexts. Although many morphological features and metric measurements of skull have been studied for sexing, but to the best of our knowledge is no study on maxillary suture length for sex estimation. Therefore, this study aims to develop a new sex estimation method for a Thai population by determining three maxillary suture lengths: anterior, transverse, and posterior maxillary suture, by computerizing amount of pixel obtained from photographs of these sutures. The present study was conducted on 190 Thai bone samples of which 96 were males and 94 were females. Independent t test revealed statistically significant difference (P<0.01) between males and females in all maxillary suture measurements. Equations derived from prediction model, which required three maxillary suture lengths gave 76.8421% accuracy from the leave-one-out cross validation in estimating sex percentage accuracies in predicting sex from these equations, which were relatively moderate. This study provides a novel and objective sex estimation method for Thais. It suggests that maxillary suture length can be applied for sex estimation. The new computerized technique will contribute basis knowledge and method for sex estimation, especially when only base of skull is available in forensic circumstance. Korean Association of Anatomists 2017-12 2017-12-29 /pmc/articles/PMC5768562/ /pubmed/29354297 http://dx.doi.org/10.5115/acb.2017.50.4.261 Text en Copyright © 2017. Anatomy & Cell Biology http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Sinthubua, Apichat Ruengdit, Sittiporn Das, Srijit Mahakkanukrauh, Pasuk A new method for sex estimation from maxillary suture length in a Thai population |
title | A new method for sex estimation from maxillary suture length in a Thai population |
title_full | A new method for sex estimation from maxillary suture length in a Thai population |
title_fullStr | A new method for sex estimation from maxillary suture length in a Thai population |
title_full_unstemmed | A new method for sex estimation from maxillary suture length in a Thai population |
title_short | A new method for sex estimation from maxillary suture length in a Thai population |
title_sort | new method for sex estimation from maxillary suture length in a thai population |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5768562/ https://www.ncbi.nlm.nih.gov/pubmed/29354297 http://dx.doi.org/10.5115/acb.2017.50.4.261 |
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