Literature DB >> 19686397

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

Valeria Santoro1, Piercarlo Lozito, Nunzio Mastrorocco, Antonio De Donno, Francesco Introna.   

Abstract

The aim of this study was to work out a biometric method for personal identification by comparing simulated antemortem and postmortem digital radiographs of unrestored teeth. Intra-oral radiographs of the inferior right first molar, without restorations, were acquired at two different times in 70 subjects using a standardized technique followed by a morphometric analysis. The program automatically supplied values of the absolute distances, relative distances, shape factors, moments, perimeter values, and the areas of the triangles, which were obtained by joining key reference points. The values for the homologous samples were compared with the heterologous samples. Statistical analysis was then carried out, resulting in a section point value of 0.9992. Higher correlation coefficients indicate positive identification, with less than 2% risk of false positives, and approximately 3% of false negatives. We have also tested the method on dental records from 30 patients in order to demonstrate the specificity and sensitivity of the system.

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Year:  2009        PMID: 19686397     DOI: 10.1111/j.1556-4029.2009.01106.x

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


  2 in total

1.  Quantification of odontological differences of the upper first and second molar by 3D-3D superimposition: a novel method to assess anatomical matches.

Authors:  Daniele Gibelli; Danilo De Angelis; Francesco Riboli; Claudia Dolci; Cristina Cattaneo; Chiarella Sforza
Journal:  Forensic Sci Med Pathol       Date:  2019-07-20       Impact factor: 2.007

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

  2 in total

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