Comparison of Frontal Sinuses for Personal Identification in 3 Populations Using Cameriere's Code Number.


Journal

The American journal of forensic medicine and pathology
ISSN: 1533-404X
Titre abrégé: Am J Forensic Med Pathol
Pays: United States
ID NLM: 8108948

Informations de publication

Date de publication:
01 Mar 2021
Historique:
pubmed: 3 8 2020
medline: 8 6 2021
entrez: 3 8 2020
Statut: ppublish

Résumé

The identification of unknown individuals is of crucial importance to society, especially in the context of mass disasters involving individuals of different nationalities. The comparison of frontal sinus patterns is an important tool for personal identification. In Cameriere's method, a new personal code number (codC) containing 8 digits was elaborated, based on the measurements of frontal sinus patterns. The present study is an update of this previous work. Digital radiographic images of the skulls of 299 individuals of different nationalities (100 Italians, 99 Kosovars, and 100 Turks) were analyzed, adopting the same maximum-weight dependence tree used in the original work. For comparisons between groups, Fisher exact test and the χ2 test were carried out. The method, applied to different population groups, significantly increases the likelihood of identifying a person by comparison of antemortem and postmortem frontal sinus radiographs. Results demonstrated that the model is more discriminative in identifying individuals of different nationalities.

Identifiants

pubmed: 32740104
pii: 00000433-202103000-00008
doi: 10.1097/PAF.0000000000000597
doi:

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

42-45

Informations de copyright

Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved.

Déclaration de conflit d'intérêts

The authors report no conflict of interest.

Références

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Auteurs

Nergis Canturk (N)

Department of Criminalistics, Institute of Forensic Sciences.

Busra Celik Arslan (B)

Faculty of Medicine, Department of Forensic Sciences.

Elif Peker (E)

Faculty of Medicine, Department of Radiology, University of Ankara, Ankara, Turkey.

Luigi Ferrante (L)

Center of Epidemiology, Biostatistics and Medical Information Technology, Department of Biomedical Sciences and Public Health, Polytechnic University of Marches, Ancona, Italy.

Roberto Cameriere (R)

AgEstimation Project, University of Macerata, Macerata, Italy.

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