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Sex determination from human cranium 3D CT based evaluation in an Indian population
Mohammed Akbar N J1, Raghvendra Singh Shekhawat2, Tanuj Kanchan3
1Senior Resident, Department of Forensic Medicine and Toxicology, All India Institute of Medical Sciences (AIIMS),Jodhpur, Rajasthan, India.
Determining sex from skeletal remains is crucial in forensic science. This study found bizygomatic breadth in Indian skulls, measured via CT scans, is a reliable indicator for sex determination.
Area of Science:
- Forensic Anthropology
- Medical Imaging
- Human Osteology
Background:
- Accurate sex determination from human remains is a legal and social necessity in forensic investigations.
- Modern radiological imaging, particularly 3D computed tomography (CT), offers advanced tools for anthropometric analysis.
- Population-specific criteria enhance the accuracy of estimating biological traits from skeletal remains.
Purpose of the Study:
- To evaluate sexual dimorphism in an Indian population using 3D CT skull images.
- To determine the accuracy of cranial anthropometric parameters for sex determination.
- To develop and refine CT-based anthropometric methods for improved sex estimation in the Indian population.
Main Methods:
- Analysis of 3D CT scans from 274 individuals (183 males, 91 females) from the Indian population.
- Measurement of 16 cranial anthropometric parameters.
- Application of logistic regression analysis (LRA) and discriminant function analysis (DFA) for sex determination.
Main Results:
- The bizygomatic breadth was identified as the most sexually dimorphic cranial parameter.
- Bizygomatic breadth achieved an accuracy of 80.7% with LRA and 81.2% with univariate DFA for sex determination.
- The study highlights the effectiveness of cranial morphometrics in sex estimation within the studied Indian cohort.
Conclusions:
- Cranial anthropometric measurements derived from 3D CT scans are valuable for sex determination in the Indian population.
- The bizygomatic breadth is a significant predictor of sex in this demographic.
- This research contributes to more accurate forensic identification methods by providing population-specific data and refining CT-based techniques.
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