Literature DB >> 35701536

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

Yea Lee Shu1, Jannick De Tobel2, Chen Jun3, Steffen Fieuws4, Patrick W Thevissen3.   

Abstract

The current study aimed to select the best dental morphological identifiers for human identification. Sixty-two panoramic radiographs were collected retrospectively, in which six measurements were performed on all seven mandibular left permanent teeth: tooth length (TL), crown length (CL), root length (RL), crown width (CW), cervical width (CEJW), and root width (RW). Nine length-width ratios were then calculated using these measurements. Three groups of statistics were considered: (1) inter-observer reliability quantified by intra-class correlation (ICC); (2) mean "potential set"; and (3) Spearman correlation. A step-by-step cascade was then established based on selected parameters. In a univariate approach, the following parameters were the best identifiers: TL/CW for tooth 36 (ICC 0.82; mean potential set 13.7%), TL/CEJW for tooth 35 (ICC 0.87; mean potential set 15.2%), and TL/RW for tooth 32 (ICC 0.89; mean potential set 16.0%). The correlations between these three parameters ranged from 0.24 to 0.47. In a multivariate approach, the following parameters had the best identifying capacity: all parameters combined for tooth 31 (mean potential set 8.1%), for tooth 35 (mean potential set 11.9%), and for tooth 32 (mean potential set 16.3%). In conclusion, a single ratio in a specific tooth narrows down the potential set of matches, but the mean potential set remains relatively large. Combining all ratios of a single specific tooth increases the certainty of the match. In particular, tooth 31 was the strongest identifier.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Forensic odontology; Human identification; Identifiers; Panoramic radiograph; Tooth dimensions

Mesh:

Year:  2022        PMID: 35701536     DOI: 10.1007/s00414-022-02851-9

Source DB:  PubMed          Journal:  Int J Legal Med        ISSN: 0937-9827            Impact factor:   2.791


  12 in total

1.  Associated postmortem dental findings as an aid to personal identification.

Authors:  I A Pretty; L D Addy
Journal:  Sci Justice       Date:  2002 Apr-Jun       Impact factor: 2.124

2.  Endodontic imaging as an aid to forensic personal identification.

Authors:  Alexander Stewart Forrest; Henry Yuan-Heng Wu
Journal:  Aust Endod J       Date:  2010-08       Impact factor: 1.659

3.  Root morphology and anatomical patterns in forensic dental identification: a comparison of computer-aided identification with traditional forensic dental identification.

Authors:  Dirk T van der Meer; Paula C Brumit; Bruce A Schrader; Stephen B Dove; David R Senn
Journal:  J Forensic Sci       Date:  2010-11       Impact factor: 1.832

4.  The uniqueness of the human anterior dentition: a geometric morphometric analysis.

Authors:  Jules A Kieser; Valeria Bernal; John Neil Waddell; Shilpa Raju
Journal:  J Forensic Sci       Date:  2007-03-31       Impact factor: 1.832

5.  Personal identification by morphometric analyses of intra-oral radiographs of unrestored teeth*.

Authors:  Valeria Santoro; Piercarlo Lozito; Nunzio Mastrorocco; Antonio De Donno; Francesco Introna
Journal:  J Forensic Sci       Date:  2009-08-03       Impact factor: 1.832

6.  Quantitative in vivo wear of human enamel.

Authors:  P Lambrechts; M Braem; M Vuylsteke-Wauters; G Vanherle
Journal:  J Dent Res       Date:  1989-12       Impact factor: 6.116

7.  Sex estimation based on tooth measurements using panoramic radiographs.

Authors:  Cezar Capitaneanu; Guy Willems; Reinhilde Jacobs; Steffen Fieuws; Patrick Thevissen
Journal:  Int J Legal Med       Date:  2016-08-17       Impact factor: 2.686

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

Authors:  Nikolaos Angelakopoulos; Ademir Franco; Guy Willems; Steffen Fieuws; Patrick Thevissen
Journal:  J Forensic Sci       Date:  2016-11-22       Impact factor: 1.832

9.  The prevalence of toothwear in 1007 dental patients.

Authors:  B G Smith; N D Robb
Journal:  J Oral Rehabil       Date:  1996-04       Impact factor: 3.837

10.  Relative effects of pre- and post-eruption water fluoride on caries experience by surface type of permanent first molars.

Authors:  Kiran A Singh; A John Spencer
Journal:  Community Dent Oral Epidemiol       Date:  2004-12       Impact factor: 3.383

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