Evaluation of the frontal sinuses dimensions in sex estimation among a sample of adult Kashmiri population using multidetector computed tomography


Original Article

Author Details : Altaf Hussain Chalkoo, Prenika Sharma*, Nusrat Nazir, Saima Tariq

Volume : 4, Issue : 4, Year : 2018

Article Page : 122-125

https://doi.org/10.18231/2581-3838.2018.0031



Suggest article by email

Get Permission

Abstract

Introduction: Aim of the present study is to determine gender using morphometric measurements on the frontal sinuses MDCT- scan.
Materials and Methods: The study included 100 subjects (50 males and 50 females). For each participant frontal sinus dimensions were measured for both sides using MDCT on commercially available software.
Results: The mean lengths of Right width, Left width, Left depth and Left height were significantly larger in males than in females. There was no significant difference in measurements of both sides in either males or females.
Conclusion: Some parameters in frontal sinuses were significantly larger in males and these can be used in forensic for determination of gender. Sample size was small so study with larger sample size is advised in future.

Keywords: Frontal sinus, Morphometric analysis, Sex, Computed tomography, MDCT, CT.


How to cite : Chalkoo A H, Sharma P, Nazir N , Tariq S, Evaluation of the frontal sinuses dimensions in sex estimation among a sample of adult Kashmiri population using multidetector computed tomography. IP Int J Maxillofac Imaging 2018;4(4):122-125


This is an Open Access (OA) journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.







View Article

PDF File  


Copyright permission

Get article permission for commercial use

Downlaod

PDF File    


Digital Object Identifier (DOI)

Article DOI

https://doi.org/10.18231/2581-3838.2018.0031


Article Metrics






Article Access statistics

Viewed: 1623

PDF Downloaded: 915