CBCT-3D Anthropometric Measurement of Mandibular Bone to Sex Determination in Surabaya Indonesia : a Pilot Study

Riki Kristanto, - and Eha Renwi Astuti, - and Daniel Haryono Utomo, - and Mieke Sylvia Margaretha Amiatun Ruth, - (2021) CBCT-3D Anthropometric Measurement of Mandibular Bone to Sex Determination in Surabaya Indonesia : a Pilot Study. Indian Journal of Forensic Medicine & Toxicology, 15 (3). pp. 2591-2597. ISSN 09739122

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Abstract

Background : Identification of personal is one of important aspects in forensic odontology, because it is one of the core aspect of forensic science. The one methode of sex determination is measurement of mandibular. The mandibular is a largest and most powerful facial bone in the skull, which is generally resistant to postmortem damage and an important source for personal identification. Previous studies have studied gender and age prediction using CBCT reconstructive images in a different picture.The objective of this study is to determine the sex determination of os.mandibular using CBCT anthropometric measurements. Materials and Methods : This study involved twenty subjects (10 male and 10 female) with age group between 20 and 35 years. CBCT scans were performed on all subjects, and the data obtained is reconstructed for 3D viewing. After getting a 3D CBCT scan, measurements were taken on six parameters. Results : The differential mean of male and female is 1,7 mm (Ramus-L), 2,1 mm (Con-Cor), 6,9 mm (BG-Br), 7,3 mm (BIC-Br), 3,5 mm (BH 1st molar) dan 3,8 mm (BH canine). The collected data were analyzed using SPSS statistical with Independent T-Test and Logistic Regression test and also Discrimant Function. The results showed that of the six parameters, BG-Br and BIC-Br showed 0,0 (P<0,05) statistically significant differences, with the accuracy of the prediction of gender determination on BIC-Br 70% for male and 80% for female and the overall BG-Br yield of 80% to both group. Conclusion : Sex determination using mandibular with 3D imaging methods can be used and helps in sex determination with 80% accuracy.

Item Type: Article
Subjects: R Medicine
R Medicine > RK Dentistry
Divisions: 02. Fakultas Kedokteran Gigi > S1 Kedokteran Gigi
Creators:
CreatorsNIM
Riki Kristanto, --
Eha Renwi Astuti, -NIDN0013056102
Daniel Haryono Utomo, --
Mieke Sylvia Margaretha Amiatun Ruth, -NIDN0015035103
Depositing User: Rudy Febiyanto
Date Deposited: 06 Nov 2021 03:01
Last Modified: 01 Feb 2023 02:04
URI: http://repository.unair.ac.id/id/eprint/112260
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