Reliability of a forensic odontology method for age-at-death estimation in adults: A Mexican case study.

Age estimation Forensic odontology Human identification Missing people Observer agreement Pulp/tooth area

Journal

Forensic science international. Synergy
ISSN: 2589-871X
Titre abrégé: Forensic Sci Int Synerg
Pays: Netherlands
ID NLM: 101766849

Informations de publication

Date de publication:
2024
Historique:
received: 14 04 2024
revised: 10 06 2024
accepted: 18 06 2024
medline: 23 7 2024
pubmed: 23 7 2024
entrez: 23 7 2024
Statut: epublish

Résumé

This study aimed to evaluate the reliability of an age estimation method based on the pulp⁄tooth area ratio by assessing intra- and inter-examiner agreement across five observers at different intervals. Using the same X-ray device and technical parameters, 96 digital periapical X-ray images of upper and lower canines were obtained from 28 deceased people in Central America, whose age at death ranged from 19 to 49 years. Excellent and good agreement of results were achieved, and there were no statistically significant differences. The R2 value for upper teeth (54.0%) was higher than the R2 value for lower teeth (45.7%). The highest intraclass correlation coefficient value was 0.995 (0.993-0.997) and the lowest 0.798 (0.545-0.895). Inter-examiner agreement was high with values of 0.975 (0.965-0.983) and 0.927 (0.879-0.955). This method is adequate for assessing age in missing and unidentified people, including victims of mass disasters.

Identifiants

pubmed: 39041044
doi: 10.1016/j.fsisyn.2024.100484
pii: S2589-871X(24)00031-7
pmc: PMC11260938
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100484

Informations de copyright

© 2024 The Authors.

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Roberto Scendoni (R)

Department of Law, Institute of Legal Medicine (AgEstimation Project), University of Macerata, Macerata, Italy.

Israel Soriano Vázquez (IS)

Extraordinary Mechanism for Human Identification (MEIF) - United Nations Population Fund (UNFPA), Mexico.

Isabella Lima Arrais Ribeiro (IL)

Postgraduate Program in Dentistry, Federal University of Paraíba, Campus I, João Pessoa, PB, 58051900, Brazil.

Stefano De Luca (S)

Área de Identificación Forense, Unidad de Derechos Humanos, Servicio Médico Legal, Santiago de Chile, Chile.

Galina V Zolotenkova (GV)

Department of Forensic Medicine, First Moscow State Medical University (Sechenov University), Moscow, Russia.

Serena Viva (S)

Department of Cultural Heritage, University of Salento, Lecce, Italy.

Akiko Kumagai (A)

Division of Forensic Odontology and Disaster Oral Medicine, Department of Forensic Science, Iwate Medical University, Iwate, Japan.

Roberto Cameriere (R)

Department of Medicine and Health Sciences, University of Molise, Campobasso, Italy.

Classifications MeSH