Literature DB >> 28249216

Three-dimensional analysis of the uniqueness of the anterior dentition in orthodontically treated patients and twins.

A Franco1, G Willems2, P H C Souza3, O M Tanaka4, W Coucke5, P Thevissen2.   

Abstract

Dental uniqueness can be proven if no perfect match in pair-wise morphological comparisons of human dentitions is detected. Establishing these comparisons in a worldwide random population is practically unfeasible due to the need for a large and representative sample size. Sample stratification is an option to reduce sample size. The present study investigated the uniqueness of the human dentition in randomly selected subjects (Group 1), orthodontically treated patients (Group 2), twins (Group 3), and orthodontically treated twins (Group 4) in comparison with a threshold control sample of identical dentitions (Group 5). The samples consisted of digital cast files (DCF) obtained through extraoral 3D scanning. A total of 2.013 pair-wise morphological comparisons were performed (Group 1 n=110, Group 2 n=1.711, Group 3 n=172, Group 4 n=10, Group 5 n=10) with Geomagic Studio® (3D Systems®, Rock Hill, SC, USA) software package. Comparisons within groups were performed quantifying the morphological differences between DCF in Euclidean distances. Comparisons between groups were established applying One-way ANOVA. To ensure fair comparisons a post-hoc Power Analysis was performed. ROC analysis was applied to distinguish unique from non-unique dentures. Identical DCF were not detected within the experimental groups (from 1 to 4). The most similar DCF had Euclidian distance of 5.19mm in Group 1, 2.06mm in Group 2, 2.03mm in Group 3, and 1.88mm in Group 4. Groups 2 and 3 were statistically different from Group 5 (p<0.05). Statistically significant difference between Group 4 and 5 revealed to be possible including more pair-wise comparisons in both groups. The ROC analysis revealed sensitivity rate of 80% and specificity between 66.7% and 81.6%. Evidence to sustain the uniqueness of the human dentition in random and stratified populations was observed in the present study. Further studies testing the influence of the quantity of tooth material on morphological difference between dentitions and its impact on uniqueness remain necessary.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Forensic odontology; Human dentition; Orthodontic treatment; Twins; Uniqueness

Mesh:

Year:  2017        PMID: 28249216     DOI: 10.1016/j.forsciint.2017.02.010

Source DB:  PubMed          Journal:  Forensic Sci Int        ISSN: 0379-0738            Impact factor:   2.395


  6 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.  Human Remains Identification Using Micro-CT, Chemometric and AI Methods in Forensic Experimental Reconstruction of Dental Patterns after Concentrated Sulphuric Acid Significant Impact.

Authors:  Andrej Thurzo; Viera Jančovičová; Miroslav Hain; Milan Thurzo; Bohuslav Novák; Helena Kosnáčová; Viera Lehotská; Ivan Varga; Peter Kováč; Norbert Moravanský
Journal:  Molecules       Date:  2022-06-23       Impact factor: 4.927

3.  A comparative study of sagittal dental relationship using digital method of bite mark evaluation.

Authors:  Pallavi Raina; Narayan Kulkarni; Romil Shah
Journal:  J Forensic Dent Sci       Date:  2020-06-03

4.  The weak evidence of lip print analysis for sexual dimorphism in forensic dentistry: a systematic literature review and meta-analysis.

Authors:  Ademir Franco; Lorenna Keren Gomes Lima; Murilo Navarro de Oliveira; Walbert de Andrade Vieira; Cauane Blumenberg; Márcio Magno Costa; Luiz Renato Paranhos
Journal:  Sci Rep       Date:  2021-12-17       Impact factor: 4.379

5.  Epidermis and Enamel: Insights Into Gnawing Criticisms of Human Bitemark Evidence.

Authors:  Robert E Barsley; Mark L Bernstein; Paula C Brumit; Robert B J Dorion; Gregory S Golden; James M Lewis; John D McDowell; Roger D Metcalf; David R Senn; David Sweet; Richard A Weems
Journal:  Am J Forensic Med Pathol       Date:  2018-06       Impact factor: 0.921

Review 6.  A systematic review of 3D scanners and computer assisted analyzes of bite marks: searching for improved analysis methods during the Covid-19 pandemic.

Authors:  Piret Vilborn; Herman Bernitz
Journal:  Int J Legal Med       Date:  2021-07-24       Impact factor: 2.686

  6 in total

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