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Year : 2023, Volume : 23, Issue : 1
First page : ( 120) Last page : ( 128)
Print ISSN : 0972-5687. Online ISSN : 0974-083X. Published online : 2023  19.
Article DOI : 10.5958/0974-083X.2023.00020.1

Application of CT scans for craniofacial soft-tissue thickness database of north Indian Haryanvi population

Kumar Jitesh1, Saini Vineeta2,*, Sarin Monu3, Chhikara Kanika4

1Research Scholar, Department of Forensic Science, Faculty of Science, SGT University, Gurgaon, Haryana–122005

2Assistant Professor, Department of Forensic Science, Faculty of Science, SGT University, Gurgaon, Haryana–122005

3Professor, Department of Radiology, SGT University, Gurgaon, Haryana–122005

4Research Scholar, Department of Forensic Science, Faculty of Science, SGT University, Gurgaon, Haryana–122005

*Corresponding Author: Dr. Vineeta Saini Assistant Professor, Department of Forensic Science, Faculty of Science, SGT University, Gurgaon, Haryana, E-mail: vineetasaini2012@gmail.com Contact : +91-9971790222

Online published on 19 December, 2023.

Received:  22  April,  2023; :  08  May,  2023; Accepted:  18  May,  2023; :  31  October,  2023.

Abstract

Introduction

In forensics and archaeology, Craniofacial reconstruction (CFR) is a technique that retrieves the original facial features of an unidentifiable skull. Numerous CFR approaches are based on anatomical landmarks’ average facial soft tissue thickness (FSTT), which is correlated with factors such as ethnicity, age, gender, and body mass index (BMI).

Materials and Methods

Using data from the North Indian Haryanvi population’s sex and age, this research aims to develop an extensive database of estimations for the thickness of the craniofacial soft tissues. Computed tomography (CT) was used to measure the 12 different FSTT landmarks in 100 males and 100 females. Four age categories were selected using the age range of 18 to 60. The OsiriX MD software was utilised to quantify the thickness of soft tissue by analysing digital imaging and communications in medicine (DICOM) images of the participants. Descriptive, t-test, Pearson correlation and discriminant analysis was done using SPSS 29.00.

Results

The analysis reveals significant differences in CFSTT according to sex and age groups. The research highlights the significant sexual variations in the Nasion, Rhinion, Prosthion, Mid-philtrum, Prosthion, Infradentale, Menton, Bregma, Pogonion, and Gnathion.

Conclusions

The results suggest that considering age and sex-related differences is crucial when interpreting craniofacial variables. By considering all these factors, the current study provides a comprehensive understanding of FSTT in the Haryanvi population and highlights the importance of studying this population to gain a better understanding of the unique characteristics of this region.

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Keywords

Craniofacial Reconstruction, Forensic Anthropology, Identification, Sexual Differences, Population Variation, Computed Tomography.

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