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Journal of Dental and Oral Health


Research Article

Mandibular Indices for Gender Prediction: A Retrospective Radiographic Study in Saudi Population

Sandeepa NC, Atheer Abdulhade Ganem, Wala Abdullah Alqhtani, Yosra Mohammad Mousa, Eman Khalid Abdullah, Afnan Hassan Alkhayri

Correspondence Address :

Sandeepa NC
Assistant Professor
King Khalid University- College of Dentistry

Received on: October 30, 2017, Accepted on: November 02, 2017, Published on: November 17, 2017

Citation: Sandeepa NC, Atheer Abdulhade Ganem, Wala Abdullah Alqhtani, et al. (2017). Mandibular Indices for Gender Prediction: A Retrospective Radiographic Study in Saudi Population

Copyright: 2017 Sandeepa NC, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

  • Abstract

Background and Objective: Determination of sex and age is a crucial component in forensic field and in view of medico legal purpose. Mandible may play a vital measure in the above as it is the most dimorphic bone which is often recovered intact. In this respect, the accessibility of ample antemortem orthopantomograms may be of great prominence in reviewing and developing population specific standards for accurate sex estimation. Therefore, the purpose of the current study was to appraise the effectiveness of various mandibular measurements on digital panoramic images as indicators for sex in Saudi Arabian population.
Methods: 200 panoramic images (100 males and 100 females) of Saudi patients aged 10-60 were selected. Five mandibular ramus linear measurements (maximum ramus width, minimum ramus width, maximum coronoid height, maximum condylar height and maximum ramus height), two mandibular body measurements (body height in the premolar and molar region), gonial angle and bigonial width measurements were made. Descriptive statistics of nine mandibular measurements for male and female was calculated. Discriminant analysis was executed to determine the most significant predictor of sex.
Results: All the measurements were found to be statistically significant between male and females except for gonial angle and minimum ramus width. Greatest dimorphism was shown by maximum ramus width, maximum coronoid height, body height in the premolar region, maximum condylar height followed by body height in the molar region. Gonial angle, minimum ramus width and bigonial width showed least dimorphism. Discriminant function equations were derived to calculate the sex. The accuracy of each function and combination ranged from 54.8% to 92.75%.
Conclusion: In the selected Saudi population sample, the mandibular ramus showed a high sexual dimorphism and accuracy on combination of 9 parameters was 92.75% and proved to be beneficial in sex estimation.

Dentistry, Radiology