PhD Scientific Days 2024

Dental Research

Dental Intraoral Scanners and Human Identification

Előadó neve

Dr. Mikolicz, Ákos

Neptun code

FPLWR3

Előadó munkahelye

Semmelweis University Department of Restorative Dentistry and Endodontics

Előadó telefonszáma

+36209828980

Előadó e-mail címe

mikolicz.akos@semmelweis.hu

Az előadás címe

Dental Intraoral Scanners and Human Identification

Szerző(k) neve és munkahelye

Ákos Mikolicz¹, Botond Simon¹, Gergely Lőrincz², János Vág¹

1: Semmelweis University, Department of Restorative Dentistry and Endodontics
2: Semmelweis University, Department of Paediatric Dentistry and Orthodontics

Bemutatás módja

Szóbeli

Szekció

Dental Research

Language of the presentation

Hungarian

Preferred session

Dental Research

Összefoglaló szövege

Introduction: Mass disasters and catastrophes occur globally on a frequent basis, impacting a growing number of people with often fatal outcomes. The task of identifying victims of these disasters is a complex process that experts face. In addition to using DNA and fingerprints, dental identification through forensic odontology is a common method for victim identification, especially when dental records such as x-rays and casts are the only available reference data.
Recently, dental intraoral scanners (IOS) have been found to be effective for human identification based on the palate, specifically focusing on the unique and individual features of the palatal rugae.

Aims: This study aims to assess the repeatability and reproducibility of different types of IOSs in human identification.

Methods: Twenty-three individuals had their upper jaw scanned three times each using two different IOSs (Emerald S, Planmeca; Aoralscan 3, Shining 3D). The scans were then analyzed by fragmenting them into teeth and palatal rugae in Meshmixer software. Repeatability was assessed by aligning the three replicates within the same IOS, while reproducibility was evaluated by aligning scans from the two scanners using GOM Inspect software. The mean absolute distance between the surfaces of the superimposed scans was calculated, and statistical analysis was conducted using Friedman's two-way analysis of variance in IBM SPSS v28.

Result: The study found that for palatal rugae, both repeatability (Aoralscan 3: 20 µm; Emerald S: 24 µm) and reproducibility (31 µm) were significantly better than for teeth (Aoralscan 3: 38 µm; Emerald S: 37 µm; 72 µm). Reproducibility was worse than repeatability for all IOSs, with no significant difference between the repeatability values of the scanners. Both the Emerald S (Planmeca) and the Aoralscan 3 (Shining 3D) were deemed suitable for palatal-based human identification, with palatal rugae being a preferable feature over teeth for this purpose.

Conclusion: The results indicate that utilizing Emerald S and Aoralscan 3 for palatal-based human identification is feasible, with palatal rugae proving to be more effective than teeth in this context.

Funding: This research was supported by the ÚNKP-23-3-II New National Excellence Program of the Ministry for Culture and Innovation from the National Research, Development and Innovation Fund.

University

Semmelweis University

Supervisor

Prof. dr. János Vág

Publication of my abstract

I do not give consent to the publication of my abstract on the website of the congress.

Kind

Szabad

Status

elfogadva

Accepted presentation method

szóbeli

Előadás fájl jóváhagyás

nem rendelkezett róla

Előadó

8013

Start

10:00

End

10:10