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Computed Tomographic Evaluation of Cranial Suture Obliteration for Age Estimation in an Indian Population

Background: Age estimation is a critical aspect of human identification. Age is assessed using cranial suture obliteration, pelvic morphological changes, epiphyseal fusion of long bones, dental maturation, and other standard methods. Methods: The present study investigated three-dimensional (3D) com...

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Autores principales: Akbar N J, Mohammed, Shekhawat, Raghvendra S, Kanchan, Tanuj, Yadav, Taruna, Meshram, Vikas P, Shedge, Rutwik, Raju Vempalli, Seshagiri, Setia, Puneet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102175/
https://www.ncbi.nlm.nih.gov/pubmed/37065378
http://dx.doi.org/10.7759/cureus.36160
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author Akbar N J, Mohammed
Shekhawat, Raghvendra S
Kanchan, Tanuj
Yadav, Taruna
Meshram, Vikas P
Shedge, Rutwik
Raju Vempalli, Seshagiri
Setia, Puneet
author_facet Akbar N J, Mohammed
Shekhawat, Raghvendra S
Kanchan, Tanuj
Yadav, Taruna
Meshram, Vikas P
Shedge, Rutwik
Raju Vempalli, Seshagiri
Setia, Puneet
author_sort Akbar N J, Mohammed
collection PubMed
description Background: Age estimation is a critical aspect of human identification. Age is assessed using cranial suture obliteration, pelvic morphological changes, epiphyseal fusion of long bones, dental maturation, and other standard methods. Methods: The present study investigated three-dimensional (3D) computed tomography (CT) scans of 263 individuals (183 males and 80 females) to assess the extent of ectocranial suture closure. The assessment of obliteration was done using a three-stage scoring method. Spearman’s correlation coefficient (p < 0.05) was calculated to assess the relationship between cranial suture closure and chronological age. Simple and multiple linear regression models were developed using the cranial suture obliteration scores to estimate age. Results: The standard errors of the estimate using multiple linear regression models developed for estimating age using obliteration scores of sagittal, coronal, and lambdoid sutures were 15.08 years in males, 13.27 years in females, and 14.74 years in the total study population. Conclusion: This study concludes that in the absence of additional skeletal age markers, this method can be used alone or in conjunction with other well-established methods of age assessment.
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spelling pubmed-101021752023-04-15 Computed Tomographic Evaluation of Cranial Suture Obliteration for Age Estimation in an Indian Population Akbar N J, Mohammed Shekhawat, Raghvendra S Kanchan, Tanuj Yadav, Taruna Meshram, Vikas P Shedge, Rutwik Raju Vempalli, Seshagiri Setia, Puneet Cureus Forensic Medicine Background: Age estimation is a critical aspect of human identification. Age is assessed using cranial suture obliteration, pelvic morphological changes, epiphyseal fusion of long bones, dental maturation, and other standard methods. Methods: The present study investigated three-dimensional (3D) computed tomography (CT) scans of 263 individuals (183 males and 80 females) to assess the extent of ectocranial suture closure. The assessment of obliteration was done using a three-stage scoring method. Spearman’s correlation coefficient (p < 0.05) was calculated to assess the relationship between cranial suture closure and chronological age. Simple and multiple linear regression models were developed using the cranial suture obliteration scores to estimate age. Results: The standard errors of the estimate using multiple linear regression models developed for estimating age using obliteration scores of sagittal, coronal, and lambdoid sutures were 15.08 years in males, 13.27 years in females, and 14.74 years in the total study population. Conclusion: This study concludes that in the absence of additional skeletal age markers, this method can be used alone or in conjunction with other well-established methods of age assessment. Cureus 2023-03-14 /pmc/articles/PMC10102175/ /pubmed/37065378 http://dx.doi.org/10.7759/cureus.36160 Text en Copyright © 2023, Akbar N J et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Forensic Medicine
Akbar N J, Mohammed
Shekhawat, Raghvendra S
Kanchan, Tanuj
Yadav, Taruna
Meshram, Vikas P
Shedge, Rutwik
Raju Vempalli, Seshagiri
Setia, Puneet
Computed Tomographic Evaluation of Cranial Suture Obliteration for Age Estimation in an Indian Population
title Computed Tomographic Evaluation of Cranial Suture Obliteration for Age Estimation in an Indian Population
title_full Computed Tomographic Evaluation of Cranial Suture Obliteration for Age Estimation in an Indian Population
title_fullStr Computed Tomographic Evaluation of Cranial Suture Obliteration for Age Estimation in an Indian Population
title_full_unstemmed Computed Tomographic Evaluation of Cranial Suture Obliteration for Age Estimation in an Indian Population
title_short Computed Tomographic Evaluation of Cranial Suture Obliteration for Age Estimation in an Indian Population
title_sort computed tomographic evaluation of cranial suture obliteration for age estimation in an indian population
topic Forensic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102175/
https://www.ncbi.nlm.nih.gov/pubmed/37065378
http://dx.doi.org/10.7759/cureus.36160
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