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Age Assessment in Children: A Novel Cameriere’s Stratagem

AIM: Age is one of the essential factors in establishing the identity of a person, especially in children. Age estimation plays an important part in treatment planning, forensic dentistry, legal issues, and paleodemographic research. The present study was an attempt to estimate the chronological age...

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Autores principales: Attiguppe, Prabhakar Ramasetty, Yavagal, Chandrashekar, Maganti, Rekhamani, Mythri, P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Jaypee Brothers Medical Publishers 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5233700/
https://www.ncbi.nlm.nih.gov/pubmed/28127165
http://dx.doi.org/10.5005/jp-journals-10005-1387
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author Attiguppe, Prabhakar Ramasetty
Yavagal, Chandrashekar
Maganti, Rekhamani
Mythri, P
author_facet Attiguppe, Prabhakar Ramasetty
Yavagal, Chandrashekar
Maganti, Rekhamani
Mythri, P
author_sort Attiguppe, Prabhakar Ramasetty
collection PubMed
description AIM: Age is one of the essential factors in establishing the identity of a person, especially in children. Age estimation plays an important part in treatment planning, forensic dentistry, legal issues, and paleodemographic research. The present study was an attempt to estimate the chronological age in children of Davangere population by using Cameriere’s India specific formula. MATERIALS AND METHODS: This was a retrospective observational study to estimate the chronological age in children of Davangere population. A total of 150 panoramic radiographs of patients aged between 6 and 15 years, including both sexes, were selected. Age was calculated by measuring open apices of seven right or left mandibular teeth using Adobe Photoshop software. RESULTS: Statistical analysis was performed to derive a regression equation for estimation of age, which showed that, of the variables X(1), X(2), X(3), X(4), X(5), X(6), X(7), s, N(0), the variables N(0) and X(4) were statistically noteworthy. Hence, these two variables were used to derive the linear regression formula: Age = 10.522 + 0.712(N(0)) - 5.040(X(4)). The model was found to be statistically significant, F(2, 147) = 207.96, p < 0.001, and accounted for approximately 74% of the variance of age (R(2) = 0.739, adjusted R(2) = 0.735). CONCLUSION: Cameriere’s method can be used for age assessment in children for forensic as well as legal contexts and based on these variables a reliable age estimation equation could be proposed specifically for Davangere population. HOW TO CITE THIS ARTICLE: Attiguppe PR, Yavagal C, Maganti R, Mythri P. Age Assessment in Children: A Novel Cameriere’s Stratagem. Int J Clin Pediatr Dent 2016;9(4):330-334.
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spelling pubmed-52337002017-01-26 Age Assessment in Children: A Novel Cameriere’s Stratagem Attiguppe, Prabhakar Ramasetty Yavagal, Chandrashekar Maganti, Rekhamani Mythri, P Int J Clin Pediatr Dent Original Article AIM: Age is one of the essential factors in establishing the identity of a person, especially in children. Age estimation plays an important part in treatment planning, forensic dentistry, legal issues, and paleodemographic research. The present study was an attempt to estimate the chronological age in children of Davangere population by using Cameriere’s India specific formula. MATERIALS AND METHODS: This was a retrospective observational study to estimate the chronological age in children of Davangere population. A total of 150 panoramic radiographs of patients aged between 6 and 15 years, including both sexes, were selected. Age was calculated by measuring open apices of seven right or left mandibular teeth using Adobe Photoshop software. RESULTS: Statistical analysis was performed to derive a regression equation for estimation of age, which showed that, of the variables X(1), X(2), X(3), X(4), X(5), X(6), X(7), s, N(0), the variables N(0) and X(4) were statistically noteworthy. Hence, these two variables were used to derive the linear regression formula: Age = 10.522 + 0.712(N(0)) - 5.040(X(4)). The model was found to be statistically significant, F(2, 147) = 207.96, p < 0.001, and accounted for approximately 74% of the variance of age (R(2) = 0.739, adjusted R(2) = 0.735). CONCLUSION: Cameriere’s method can be used for age assessment in children for forensic as well as legal contexts and based on these variables a reliable age estimation equation could be proposed specifically for Davangere population. HOW TO CITE THIS ARTICLE: Attiguppe PR, Yavagal C, Maganti R, Mythri P. Age Assessment in Children: A Novel Cameriere’s Stratagem. Int J Clin Pediatr Dent 2016;9(4):330-334. Jaypee Brothers Medical Publishers 2016 2016-12-05 /pmc/articles/PMC5233700/ /pubmed/28127165 http://dx.doi.org/10.5005/jp-journals-10005-1387 Text en Copyright © 2016; Jaypee Brothers Medical Publishers (P) Ltd. This work is licensed under a Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/3.0/
spellingShingle Original Article
Attiguppe, Prabhakar Ramasetty
Yavagal, Chandrashekar
Maganti, Rekhamani
Mythri, P
Age Assessment in Children: A Novel Cameriere’s Stratagem
title Age Assessment in Children: A Novel Cameriere’s Stratagem
title_full Age Assessment in Children: A Novel Cameriere’s Stratagem
title_fullStr Age Assessment in Children: A Novel Cameriere’s Stratagem
title_full_unstemmed Age Assessment in Children: A Novel Cameriere’s Stratagem
title_short Age Assessment in Children: A Novel Cameriere’s Stratagem
title_sort age assessment in children: a novel cameriere’s stratagem
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5233700/
https://www.ncbi.nlm.nih.gov/pubmed/28127165
http://dx.doi.org/10.5005/jp-journals-10005-1387
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