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Year : 2024, Volume : 24, Issue : 1
First page : ( 113) Last page : ( 119)
Print ISSN : 0972-5687. Online ISSN : 0974-083X. Published online : 2024  24.
Article DOI : 10.5958/0974-083X.2024.00019.4

Radiological study on sexual dimorphism from cranio - Facial indices in eastern Uttar Pradesh population

Rathore Khushveer1,*, Roy Deepa Durga2, Verma Ashish3, Bhutia Kenchok Ongmu4, Verma Shikha5

1Junior Resident. Department of Forensic Medicine, Institute of Medical Sciences, Banaras Hindu University, Varanasi

2Assistant Professor, Department of Forensic Medicine, IMS, BHU

3Professor, Department of Radiology, IMS, BHU

4Junior Resident, Department of Forensic Medicine, IMS, BHU

5Research Scholar, Department of Forensic Medicine, IMS, BHU

*Corresponding Author: Dr. Khushveer Rathore, Junior Resident, Department of Forensic Medicine, Institute of Medical Sciences, Banaras Hindu University, Varanasi, E-mail: kr170870@gmail.com Contact: +91-

Online Published on 24 December, 2024.

Received:  22  May,  2024; :  13  September,  2024; Accepted:  13  September,  2024.

Abstract

Introduction

Morphometric factors are key in determining age, sex, and stature in forensic investigations, particularly for skeletal remains. Radiography aids in sex determination using sexually dimorphic traits, though accuracy improves with larger datasets across diverse population groups.

Aims and Objectives

To determine various measurements and indices, namely Kollmann upper facial Index, Nasal Index, and Orbital Index, and assess sexual dimorphism in the available data. This information could be incorporated for future meta-analyses of the Indian population, and databases can be created from different regions to obtain averages.

Material and Methods

In this study, 477 samples were included from Varanasi region, with ages ranging from 16 to 82 years after applying exclusion criteria. The volume-rendered images of the face obtained from a CT scan machine were examined using Radiant DICOM software to obtain relevant data. Six measurements were taken into consideration: orbital height, orbital breadth, nasal height, nasal breadth, Kollman's upper facial height, and bizygomatic breadth. From this data, three indices were derived.

Result

The overall accuracy in predicting sexual dimorphism is 89.2%. Among the indices, the Kollmann upper facial index has the highest accuracy at 69.2%, followed by the Nasal index at 60.8%, and the mean Orbital index at 57.0%. Among the measurements, the highest accuracy is for Bizygomatic breadth at 79.5%. The most common type of nose in this study is Hyperchamaerhinae, the most common type of face is Lepten, and the most common type of orbit is Hypsiconch.

Conclusion

This data will be useful for future purposes in creating reference values for the stated parameters. Further extensive research with a larger sample size and longer duration would yield more reliable data.

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Keywords

Anthropometry, Craniofacial Parameters, Facial Indices, Sexual Dimorphism.

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