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Forensic Age Estimation: A Multifactorial Approach in a Retrospective Population Study
Objectives: The objective of this study was to evaluate the accuracy of forensic age estimation in a German population by combining clavicle and wisdom teeth assessments based on cone beam computed tomography (CT) data. The study aimed to determine the reliability of this approach in predicting biol...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10297483/ https://www.ncbi.nlm.nih.gov/pubmed/37370924 http://dx.doi.org/10.3390/diagnostics13122029 |
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author | Bjelopavlovic, Monika Reder, Sebastian R. Fritzen, Isabel Brockmann, Marc A. Hardt, Jochen Petrowski, Katja |
author_facet | Bjelopavlovic, Monika Reder, Sebastian R. Fritzen, Isabel Brockmann, Marc A. Hardt, Jochen Petrowski, Katja |
author_sort | Bjelopavlovic, Monika |
collection | PubMed |
description | Objectives: The objective of this study was to evaluate the accuracy of forensic age estimation in a German population by combining clavicle and wisdom teeth assessments based on cone beam computed tomography (CT) data. The study aimed to determine the reliability of this approach in predicting biological age. Material and Methods: A total of 161 CT data sets from 120 males and 41 females with known exact ages were evaluated by three raters. The clavicle was assessed according to stages 1–5 (including substages 2a–c and 3a–c), and the Demirjian stage’s classification method was used for the wisdom teeth. Inter-class correlation (ICC) was calculated to assess the agreement among the three raters. Additionally, ordinary least square regressions were performed to predict chronological age using the clavicle or one of the four teeth. Finally, age prediction models using multiple indicators were developed. Results: The ICCs ranged from 0.82 for the clavicle to 0.86 and 0.88 for the wisdom teeth. Linear estimation tended to overestimate chronological age, especially in subjects over 18 years old. The clavicle showed the strongest overestimation. Combining age estimation from the clavicle with the upper and lower wisdom teeth improved the predictive power, resulting in a 14% and 15% increase in R² for the upper and lower wisdom teeth, respectively. Adding more than one tooth to the prediction did not improve the predictive power (all ΔR² < 1%). Conclusions: Age estimation using CT can be significantly improved by combining information from the analysis of wisdom teeth with age estimation based on the clavicle. |
format | Online Article Text |
id | pubmed-10297483 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-102974832023-06-28 Forensic Age Estimation: A Multifactorial Approach in a Retrospective Population Study Bjelopavlovic, Monika Reder, Sebastian R. Fritzen, Isabel Brockmann, Marc A. Hardt, Jochen Petrowski, Katja Diagnostics (Basel) Article Objectives: The objective of this study was to evaluate the accuracy of forensic age estimation in a German population by combining clavicle and wisdom teeth assessments based on cone beam computed tomography (CT) data. The study aimed to determine the reliability of this approach in predicting biological age. Material and Methods: A total of 161 CT data sets from 120 males and 41 females with known exact ages were evaluated by three raters. The clavicle was assessed according to stages 1–5 (including substages 2a–c and 3a–c), and the Demirjian stage’s classification method was used for the wisdom teeth. Inter-class correlation (ICC) was calculated to assess the agreement among the three raters. Additionally, ordinary least square regressions were performed to predict chronological age using the clavicle or one of the four teeth. Finally, age prediction models using multiple indicators were developed. Results: The ICCs ranged from 0.82 for the clavicle to 0.86 and 0.88 for the wisdom teeth. Linear estimation tended to overestimate chronological age, especially in subjects over 18 years old. The clavicle showed the strongest overestimation. Combining age estimation from the clavicle with the upper and lower wisdom teeth improved the predictive power, resulting in a 14% and 15% increase in R² for the upper and lower wisdom teeth, respectively. Adding more than one tooth to the prediction did not improve the predictive power (all ΔR² < 1%). Conclusions: Age estimation using CT can be significantly improved by combining information from the analysis of wisdom teeth with age estimation based on the clavicle. MDPI 2023-06-12 /pmc/articles/PMC10297483/ /pubmed/37370924 http://dx.doi.org/10.3390/diagnostics13122029 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Bjelopavlovic, Monika Reder, Sebastian R. Fritzen, Isabel Brockmann, Marc A. Hardt, Jochen Petrowski, Katja Forensic Age Estimation: A Multifactorial Approach in a Retrospective Population Study |
title | Forensic Age Estimation: A Multifactorial Approach in a Retrospective Population Study |
title_full | Forensic Age Estimation: A Multifactorial Approach in a Retrospective Population Study |
title_fullStr | Forensic Age Estimation: A Multifactorial Approach in a Retrospective Population Study |
title_full_unstemmed | Forensic Age Estimation: A Multifactorial Approach in a Retrospective Population Study |
title_short | Forensic Age Estimation: A Multifactorial Approach in a Retrospective Population Study |
title_sort | forensic age estimation: a multifactorial approach in a retrospective population study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10297483/ https://www.ncbi.nlm.nih.gov/pubmed/37370924 http://dx.doi.org/10.3390/diagnostics13122029 |
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