4.6 Article

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

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DIAGNOSTICS
卷 13, 期 6, 页码 -

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MDPI
DOI: 10.3390/diagnostics13061042

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forensic anthropology; age estimation; skeletal growth; dental development; children; pediatric population

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Age estimation is a crucial process in legal cases and adoption procedures. Various methods based on skeletal and dental growth have been used, but few studies have compared these methods to determine their reliability in different conditions and age ranges, hindering the development of standardized guidelines for age estimation. A comparison of dental and skeletal methods on a group of 94 children aged between 0 and 8 years revealed differences in accuracy, with diagram methods showing lower error ranges compared to traditional methods.
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.

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