Dental age estimation: Demirjian's versus the other methods in different populations. A literature review.


Journal

Medicine, science, and the law
ISSN: 2042-1818
Titre abrégé: Med Sci Law
Pays: England
ID NLM: 0400721

Informations de publication

Date de publication:
Jan 2021
Historique:
entrez: 16 2 2021
pubmed: 17 2 2021
medline: 29 5 2021
Statut: ppublish

Résumé

Age estimation is an important issue in forensic anthropology and odontology, since it is applied to both the living and the dead. Studies have shown that assessing tooth development using radiological methods is a reliable way to estimate age, especially in children. Demirjian's method is the most widely used estimation method for dental age evaluation. Over the years, many methods have been developed in order to asses which one predicts more accurately the age. In the literature, many populations were examined with these different methods and discordant results are described. This review aims to evaluate the studies in which Demirjian's method was compared with Willems', Cameriere's, Nolla's, Smith's, Haavikko's and Chaillet's methods in order to estimate the most accurate dental age estimation method in different populations. Using the methodology described in the Preferred Reporting Items for Systematic Reviews and Meta-Analysis statement, the authors conducted a review of existing literature using three databases: PubMed, Google Scholar and Google Scopus.

Identifiants

pubmed: 33591866
doi: 10.1177/0025802420934253
doi:

Types de publication

Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

125-129

Auteurs

Antonio De Donno (A)

Department of Legal Medicine, University of Bari, Italy.

Carmelinda Angrisani (C)

Department of Legal Medicine, University of Bari, Italy.

Federica Mele (F)

Department of Legal Medicine, University of Bari, Italy.

Francesco Introna (F)

Department of Legal Medicine, University of Bari, Italy.

Valeria Santoro (V)

Department of Legal Medicine, University of Bari, Italy.

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Classifications MeSH