Age Estimation in 0–8-Year-Old Children in France: Comparison of One Skeletal and Five Dental Methods

Author:

Martrille Laurent1ORCID,Papadodima Stavroula2,Venegoni Cristina3,Molinari Nicolas4,Gibelli Daniele3,Baccino Eric1,Cattaneo Cristina3

Affiliation:

1. EDPFM, University of Montpellier, Department of Legal Medicine, CHU Montpellier, F-34000 Montpellier, France

2. Department of Forensic Medicine and Toxicology, School of Medicine, National and Kapodistrian University of Athens, M. Asias 75, 115 27 Athens, Greece

3. LABANOF, Laboratorio di Antropologia e Odontologia Forense, Sezione di Medicina Legale, DMU—Dipartimento di Morfologia Umana e Scienze Biomediche, Università degli Studi di Milano, Via Mangiagalli 37, 20133 Milano, Italy

4. IDESP, INSERM, PreMEdical INRIA, University of Montpellier, CHU Montpellier, F-34000 Montpellier, France

Abstract

Age estimation in juveniles is a critical procedure in judicial cases for verification of imputability or for civil reasons when adopting children. Several methods based both on skeletal and dental growth have been performed and applied on different populations; nevertheless, few articles have compared different methods in order to test their reliability in different conditions and age ranges, and this is a clear obstacle in the creation of common guidelines for age estimation in the living. A comparison of five dental methods (Anderson, Ubelaker, Schour and Massler, Gustafson and Koch, Demirjian) and one skeletal method (Greulich a Pyle atlas) was performed on a population of 94 children aged between 0 and 8 years. Results showed that, whereas under 2 years all the methods have the same inaccuracy, over 2 years the diagram methods, such as Schour and Massler and Ubelaker’s revised one, have a lower error range than the most frequently used Greulich and Pyle atlas and Demirjian method. Schour and Massler, Gustafson and Koch, and Ubelaker methods showed, respectively, a mean error amounting to 0.40, 0.53, and 0.56 years versus the 0.74 and 0.88 years given by Demirjian and the Greulich and Pyle atlas. An in-depth analysis of the potential of several methods is necessary in order to reach a higher adherence of age estimation with the complexity of growth dynamics.

Publisher

MDPI AG

Subject

Clinical Biochemistry

Reference54 articles.

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3. Dental age estimation in the living after completion of third molar mineralization: New data for Gustafson’s criteria;Timme;Int. J. Leg. Med.,2017

4. Forensic Age Estimation;Schmeling;Dtsch. Arztebl. Int.,2016

5. European Union Agency for Asylum—EUAA (2023, February 01). Latest Asylum Trends—Annual Overview 2021. Retrieved from Latest Asylum Trends—Annual Overview 2021 European Union Agency for Asylum. Available online: europa.eu.

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