![](/images/graphics-bg.png)
A Novel Computer-Assisted Method of Bite Mark Analysis for Gender Determination
Joint Authors
Sinha, Rupam
Sarkar, Soumyabrata
Khaitan, Tanya
Maji, Anirban
Shukla, Anjani Kumar
Verma, Pratik
Source
Journal of Environmental and Public Health
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-4, 4 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-09
Country of Publication
Egypt
No. of Pages
4
Main Subjects
Abstract EN
Background.
Bite mark analysis is an imperative area of forensic odontology and considered the commonest form of dental evidence presented in the criminal court.
The process of comparing bite marks with a suspect’s dentition includes analysis and measurement of shape, size, and position of an individual’s teeth.
The present study was aimed to evaluate the bite marks of males and females using a novel indirect computer-assisted method and explicate its application in forensic odontology.
Materials and methods.
60 subjects (30 males and 30 females) with normal occlusion were included in the present study.
Bite registrations were obtained with help of modelling waxes, and positive replicas were prepared with dental stone and barium powder.
Intraoral periapical radiographs were taken for the same.
The radiographs obtained were scanned and analyzed by measuring tools using Sidexis Next Generation software.
Intercanine distance (ICD), line AB, angle ABX, and angle ABY were measured.
The Kruskal–Wallis test was performed to compare the bite marks of males and females.
Results.
The mean ICD of males and females was found to be 32.95 mm and 29.84 mm, respectively, and was statistically highly significant with a p value <0.001.
The mean ICD, line AB, and angle ABX were found to be higher in males when compared to females.
Conclusion.
Analysis of bite marks using this novel computer-assisted method is a simple, reliable, easily reproducible, and economical technique with confidentiality of the identity of the participants involved.
American Psychological Association (APA)
Maji, Anirban& Khaitan, Tanya& Sinha, Rupam& Sarkar, Soumyabrata& Verma, Pratik& Shukla, Anjani Kumar. 2018. A Novel Computer-Assisted Method of Bite Mark Analysis for Gender Determination. Journal of Environmental and Public Health،Vol. 2018, no. 2018, pp.1-4.
https://search.emarefa.net/detail/BIM-1184854
Modern Language Association (MLA)
Maji, Anirban…[et al.]. A Novel Computer-Assisted Method of Bite Mark Analysis for Gender Determination. Journal of Environmental and Public Health No. 2018 (2018), pp.1-4.
https://search.emarefa.net/detail/BIM-1184854
American Medical Association (AMA)
Maji, Anirban& Khaitan, Tanya& Sinha, Rupam& Sarkar, Soumyabrata& Verma, Pratik& Shukla, Anjani Kumar. A Novel Computer-Assisted Method of Bite Mark Analysis for Gender Determination. Journal of Environmental and Public Health. 2018. Vol. 2018, no. 2018, pp.1-4.
https://search.emarefa.net/detail/BIM-1184854
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1184854