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Age estimation and comparison by dental and skeletal maturity in the age range of 9–18 years in the Mumbai region

BACKGROUND: Age estimation is crucial in the identification of juveniles in conflicts with law, survivor of sexual assault, sportsperson, and civil cases. AIMS: To estimate and compare the age (9–18 years) by dental and skeletal maturity in the Mumbai region. SETTINGS AND DESIGN: This was a cross-se...

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Autores principales: Pandey, Hemlata, Tripathi, Vandana, Pathak, Harish, Choudhary, Sumit K., Parchake, Manoj B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7398368/
https://www.ncbi.nlm.nih.gov/pubmed/32801586
http://dx.doi.org/10.4103/jfo.jfds_90_19
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author Pandey, Hemlata
Tripathi, Vandana
Pathak, Harish
Choudhary, Sumit K.
Parchake, Manoj B.
author_facet Pandey, Hemlata
Tripathi, Vandana
Pathak, Harish
Choudhary, Sumit K.
Parchake, Manoj B.
author_sort Pandey, Hemlata
collection PubMed
description BACKGROUND: Age estimation is crucial in the identification of juveniles in conflicts with law, survivor of sexual assault, sportsperson, and civil cases. AIMS: To estimate and compare the age (9–18 years) by dental and skeletal maturity in the Mumbai region. SETTINGS AND DESIGN: This was a cross-sectional study. MATERIALS AND METHODS: A total of 70 cases from 9 to 18 years of age were studied in 1 year in the urban population of the Mumbai region. Among 70 cases, 45 were males and 25 were females. Orthopantomogram and elbow joint radiographs were taken to assess the dental age through modified Demirjian's method and the radiological age through Sangma et al. staging method, respectively. STATISTICAL ANALYSIS: Data were analyzed using SPSS Statistics Version 26; descriptive statistics and regression statistics were used in the study. RESULTS: Dental age by Demirjian's method in males with standard deviation was 15.25 (2.17), with a mean difference of 1.08 and significant P = 0.03. However, in females, dental age by Demirjian's method with standard deviation was 14.30 (1.94) with a mean difference of 0.74 and insignificant P = 0.07. Interclass correlation coefficient of dental age with chronological age, in males and females, showed 0.85 and 0.87 correlation, respectively. Correlation between the skeletal maturity and the dental age was reflected by the association of Demirjian stage 9 in the second molar with radiological stage 5 in males and stage 4 in females. CONCLUSIONS: It was concluded that Demirjian's method shows a significant correlation and P value for the age estimation in males of the Mumbai region.
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spelling pubmed-73983682020-08-13 Age estimation and comparison by dental and skeletal maturity in the age range of 9–18 years in the Mumbai region Pandey, Hemlata Tripathi, Vandana Pathak, Harish Choudhary, Sumit K. Parchake, Manoj B. J Forensic Dent Sci Original Article BACKGROUND: Age estimation is crucial in the identification of juveniles in conflicts with law, survivor of sexual assault, sportsperson, and civil cases. AIMS: To estimate and compare the age (9–18 years) by dental and skeletal maturity in the Mumbai region. SETTINGS AND DESIGN: This was a cross-sectional study. MATERIALS AND METHODS: A total of 70 cases from 9 to 18 years of age were studied in 1 year in the urban population of the Mumbai region. Among 70 cases, 45 were males and 25 were females. Orthopantomogram and elbow joint radiographs were taken to assess the dental age through modified Demirjian's method and the radiological age through Sangma et al. staging method, respectively. STATISTICAL ANALYSIS: Data were analyzed using SPSS Statistics Version 26; descriptive statistics and regression statistics were used in the study. RESULTS: Dental age by Demirjian's method in males with standard deviation was 15.25 (2.17), with a mean difference of 1.08 and significant P = 0.03. However, in females, dental age by Demirjian's method with standard deviation was 14.30 (1.94) with a mean difference of 0.74 and insignificant P = 0.07. Interclass correlation coefficient of dental age with chronological age, in males and females, showed 0.85 and 0.87 correlation, respectively. Correlation between the skeletal maturity and the dental age was reflected by the association of Demirjian stage 9 in the second molar with radiological stage 5 in males and stage 4 in females. CONCLUSIONS: It was concluded that Demirjian's method shows a significant correlation and P value for the age estimation in males of the Mumbai region. Wolters Kluwer - Medknow 2019 2020-06-03 /pmc/articles/PMC7398368/ /pubmed/32801586 http://dx.doi.org/10.4103/jfo.jfds_90_19 Text en Copyright: © 2020 Journal of Forensic Dental Sciences http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Pandey, Hemlata
Tripathi, Vandana
Pathak, Harish
Choudhary, Sumit K.
Parchake, Manoj B.
Age estimation and comparison by dental and skeletal maturity in the age range of 9–18 years in the Mumbai region
title Age estimation and comparison by dental and skeletal maturity in the age range of 9–18 years in the Mumbai region
title_full Age estimation and comparison by dental and skeletal maturity in the age range of 9–18 years in the Mumbai region
title_fullStr Age estimation and comparison by dental and skeletal maturity in the age range of 9–18 years in the Mumbai region
title_full_unstemmed Age estimation and comparison by dental and skeletal maturity in the age range of 9–18 years in the Mumbai region
title_short Age estimation and comparison by dental and skeletal maturity in the age range of 9–18 years in the Mumbai region
title_sort age estimation and comparison by dental and skeletal maturity in the age range of 9–18 years in the mumbai region
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7398368/
https://www.ncbi.nlm.nih.gov/pubmed/32801586
http://dx.doi.org/10.4103/jfo.jfds_90_19
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