Browsing by Author "Kenchok Ongmu Bhutia"

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Radiological Study on Sexual Dimorphism from Cranio - Facial Indices in Eastern Uttar Pradesh Population
(Punjab Academy of Forensic Medicine and Toxicology, 2024) Khushveer Rathore; Deepa Durga Roy; Ashish Verma; Kenchok Ongmu Bhutia; Shikha Verma
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 82years 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 indexhas 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 Bizy gomatic breadth at 79.5%. The most common type of nose in this study is Hyper chamaerhinae, 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. © 2024, Punjab Academy of Forensic Medicine and Toxicology. All rights reserved.