Literature DB >> 31078124

Performance of dental pattern analysis system with treatment chronology on panoramic radiography.

Chena Lee1, Sang-Hyun Lim2, Kyung-Hoe Huh3, Sang-Sun Han4, Jo-Eun Kim5, Min-Suk Heo6, Won-Jin Yi7, Sam-Sun Lee8, Soon-Chul Choi9.   

Abstract

The present study was conducted to improve human identification based on dental pattern with adopting chronology of dental treatment within the system. Five hundred adult patients were randomly selected, and their initial and recent panoramic radiography images were assumed as antemortem (AM) and postmortem (PM) images, respectively. For each radiographic image, the dental pattern was analyzed. The analysis system was newly developed considering sequence of dental treatment in time order. AM and PM databases were constructed with information of dental patterns, patient age, and gender. For the PM database, age information was stored as the actual age ± 10 years, which was defined as the estimated age. According to dental pattern of PM record, the possible AM records were selected as candidates. Then candidates were sorted in order of dental pattern similarity to the PM record, and the rank of the true AM record was identified. The total 500 AM records were reduced to 14.5 ± 13.4 candidates in average when the dental pattern, gender, and estimated age were considered. When the candidates were sorted in order of similarity, the true AM record received an average ranking of 2.0 ± 2.6. When dental pattern and gender were considered, 46.7 ± 42.3 candidates were selected among 500 records and the true AM record was ranked at 3.0 ± 5.0, in average. The dental pattern analysis adopting dental treatment chronology was contributed to reduce the sample population. This method would become more efficient and comprehensive if the dental pattern analysis process is automatized in the near future.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Dental bioinformatics; Dental identification; Forensic dentistry; Panoramic radiography

Mesh:

Year:  2019        PMID: 31078124     DOI: 10.1016/j.forsciint.2019.04.012

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


  3 in total

1.  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

Review 2.  Dental Radiographic/Digital Radiography Technology along with Biological Agents in Human Identification.

Authors:  Mohsen Yazdanian; Shahryar Karami; Elahe Tahmasebi; Mostafa Alam; Kamyar Abbasi; Mahdi Rahbar; Hamid Tebyaniyan; Reza Ranjbar; Alexander Seifalian; Alireza Yazdanian
Journal:  Scanning       Date:  2022-01-18       Impact factor: 1.932

3.  A pilot study of an automated personal identification process: Applying machine learning to panoramic radiographs.

Authors:  Adrielly Garcia Ortiz; Gustavo Hermes Soares; Gabriela Cauduro da Rosa; Maria Gabriela Haye Biazevic; Edgard Michel-Crosato
Journal:  Imaging Sci Dent       Date:  2021-05-06
  3 in total

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