Literature DB >> 27874188

Clinically Detectable Dental Identifiers Observed in Intra-oral Photographs and Extra-oral Radiographs, Validated for Human Identification Purposes.

Nikolaos Angelakopoulos1, Ademir Franco1,2, Guy Willems1, Steffen Fieuws3, Patrick Thevissen1.   

Abstract

Screening the prevalence and pattern of dental identifiers contributes toward the process of human identification. This research investigated the uniqueness of clinical dental identifiers in photographs and radiographs. Panoramic and lateral cephalometric radiographs and five intra-oral photographs of 1727 subjects were used. In a target set, two observers examined different subjects. In a subset, both observers examined the same subjects (source set). The distance between source and target subjects was quantified for each identifier. The percentage of subjects in the target set being at least as close as the correct subject was assessed. The number of molars (34.6%), missing teeth (42%), and displaced teeth (59.9%) were the most unique identifiers in photographs and panoramic and lateral cephalometric radiographs, respectively. The pattern of rotated teeth (14.9%) was the most unique in photographs, while displaced teeth was in panoramic (37.6%) and lateral cephalometric (54.8%) radiographs. Morphological identifiers were the most unique, highlighting their importance for human identifications.
© 2016 American Academy of Forensic Sciences.

Entities:  

Keywords:  forensic dentistry; forensic science; human identification; identifiers; morphology; uniqueness

Mesh:

Year:  2016        PMID: 27874188     DOI: 10.1111/1556-4029.13310

Source DB:  PubMed          Journal:  J Forensic Sci        ISSN: 0022-1198            Impact factor:   1.832


  7 in total

1.  Quantifying the potential of morphological parameters for human dental identification: part 1-proof of concept.

Authors:  A Milheiro; J De Tobel; C Capitaneanu; E Shaheen; S Fieuws; P Thevissen
Journal:  Int J Legal Med       Date:  2022-06-15       Impact factor: 2.686

2.  Quantifying the potential of morphological parameters for human dental identification: part 2-selecting the strongest identifiers in mandibular permanent teeth.

Authors:  Yea Lee Shu; Jannick De Tobel; Chen Jun; Steffen Fieuws; Patrick W Thevissen
Journal:  Int J Legal Med       Date:  2022-06-15       Impact factor: 2.791

Review 3.  Contributions of forensic anthropology to positive scientific identification: a critical Review.

Authors:  Douglas H Ubelaker; Austin Shamlou; Amanda Kunkle
Journal:  Forensic Sci Res       Date:  2018-10-08

4.  Adapting Demirjian Standards for Portuguese and Spanish Children and Adolescents.

Authors:  Lisete S Mónico; Luís F Tomás; Inmaculada Tomás; Purificación Varela-Patiño; Benjamin Martin-Biedma
Journal:  Int J Environ Res Public Health       Date:  2022-10-04       Impact factor: 4.614

5.  Diagnostic performance of convolutional neural networks for dental sexual dimorphism.

Authors:  Ademir Franco; Lucas Porto; Dennis Heng; Jared Murray; Anna Lygate; Raquel Franco; Juliano Bueno; Marilia Sobania; Márcio M Costa; Luiz R Paranhos; Scheila Manica; André Abade
Journal:  Sci Rep       Date:  2022-10-14       Impact factor: 4.996

6.  iDENTIfyme Informative Campaign: Raising Forensic Dental Identification Awareness in the Community.

Authors:  Emilio Nuzzolese
Journal:  J Prev Med Public Health       Date:  2021-04-20

7.  Prevalence of congenitally missing second premolar teeth in the Dravidian population.

Authors:  Lakshimi Lakshmanan; Deepa Gurunathan
Journal:  J Forensic Dent Sci       Date:  2020-01-24
  7 in total

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