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Stereomicroscopic study on unsectioned extracted teeth
INTRODUCTION: Age has been considered as a reliable marker for establishing the identity of a person in the field of forensic medicine. Teeth are useful skeletal indicators of age at death since it can survive for decades. Nondestructive methods ensure the evident preservation of dental hard tissues...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5887640/ https://www.ncbi.nlm.nih.gov/pubmed/29657494 http://dx.doi.org/10.4103/jfo.jfds_43_16 |
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author | Narayan, V. Keerthi Varsha, V. K. Girish, H. C. Murgod, Sanjay |
author_facet | Narayan, V. Keerthi Varsha, V. K. Girish, H. C. Murgod, Sanjay |
author_sort | Narayan, V. Keerthi |
collection | PubMed |
description | INTRODUCTION: Age has been considered as a reliable marker for establishing the identity of a person in the field of forensic medicine. Teeth are useful skeletal indicators of age at death since it can survive for decades. Nondestructive methods ensure the evident preservation of dental hard tissues that reflect age changes from the cradle to the grave. Therefore, an attempt was made for estimating the age using the nondestructive method. AIMS AND OBJECTIVES: The aim of this study to assess whether physiological changes of the teeth allow possible correlation for accurate age estimation and to establish a graduation standard by microscopic observation for a better age correlation. MATERIALS AND METHODS: The study was carried on 209 teeth samples extracted for orthodontic treatment or periodontal diseases comprised both maxillary and mandibular teeth across different age groups. The assessment of these changes was carried out by well-established standard methods with some proposed modifications. RESULTS: Pearson correlation analyses revealed root dentin translucency with the highest correlation (r = 0.97) followed by periodontal ligament attachment (r = 0.95), root dentin color (r = 0.95), and attrition being the least correlated (r = 0.90). All the parameters taken for the study contributed to stepwise linear regression analysis (R = 0.98; P < 0.01) indicating a strongly positive relationship between age and the changes observed. A regression formula was obtained with mean error age difference ±1.0 years. CONCLUSION: The present study showed that extracted tooth is highly significant in identifying the age without being sectioned or further processed and also signifies the use of microscope for observation of these changes, thus reducing the errors of calibrating the age. |
format | Online Article Text |
id | pubmed-5887640 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-58876402018-04-13 Stereomicroscopic study on unsectioned extracted teeth Narayan, V. Keerthi Varsha, V. K. Girish, H. C. Murgod, Sanjay J Forensic Dent Sci Original Article INTRODUCTION: Age has been considered as a reliable marker for establishing the identity of a person in the field of forensic medicine. Teeth are useful skeletal indicators of age at death since it can survive for decades. Nondestructive methods ensure the evident preservation of dental hard tissues that reflect age changes from the cradle to the grave. Therefore, an attempt was made for estimating the age using the nondestructive method. AIMS AND OBJECTIVES: The aim of this study to assess whether physiological changes of the teeth allow possible correlation for accurate age estimation and to establish a graduation standard by microscopic observation for a better age correlation. MATERIALS AND METHODS: The study was carried on 209 teeth samples extracted for orthodontic treatment or periodontal diseases comprised both maxillary and mandibular teeth across different age groups. The assessment of these changes was carried out by well-established standard methods with some proposed modifications. RESULTS: Pearson correlation analyses revealed root dentin translucency with the highest correlation (r = 0.97) followed by periodontal ligament attachment (r = 0.95), root dentin color (r = 0.95), and attrition being the least correlated (r = 0.90). All the parameters taken for the study contributed to stepwise linear regression analysis (R = 0.98; P < 0.01) indicating a strongly positive relationship between age and the changes observed. A regression formula was obtained with mean error age difference ±1.0 years. CONCLUSION: The present study showed that extracted tooth is highly significant in identifying the age without being sectioned or further processed and also signifies the use of microscope for observation of these changes, thus reducing the errors of calibrating the age. Medknow Publications & Media Pvt Ltd 2017 /pmc/articles/PMC5887640/ /pubmed/29657494 http://dx.doi.org/10.4103/jfo.jfds_43_16 Text en Copyright: © 2018 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 Narayan, V. Keerthi Varsha, V. K. Girish, H. C. Murgod, Sanjay Stereomicroscopic study on unsectioned extracted teeth |
title | Stereomicroscopic study on unsectioned extracted teeth |
title_full | Stereomicroscopic study on unsectioned extracted teeth |
title_fullStr | Stereomicroscopic study on unsectioned extracted teeth |
title_full_unstemmed | Stereomicroscopic study on unsectioned extracted teeth |
title_short | Stereomicroscopic study on unsectioned extracted teeth |
title_sort | stereomicroscopic study on unsectioned extracted teeth |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5887640/ https://www.ncbi.nlm.nih.gov/pubmed/29657494 http://dx.doi.org/10.4103/jfo.jfds_43_16 |
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