Determination of Gender from Human Cranial Measurements Using Computed Tomography Scans

Area of Science:

• Forensic Anthropology
• Radiology
• Medical Imaging

Background:

• Craniometry is crucial for gender determination.
• CT scans provide detailed cranial measurements.
• Accurate gender classification aids in forensic investigations.

Purpose of the Study:

• To assess gender determination using cranial measurements from CT scans.
• To evaluate the predictive accuracy of different models for gender classification.

Main Methods:

• A cross-sectional study involving 280 adult CT scans.
• Fourteen cranial measurements were taken and analyzed.
• Binary logistic regression (BLR) and decision tree (DT) models were used for gender prediction.

Main Results:

• Significant gender differences were observed in most cranial measurements.
• BLR and DT models demonstrated predictive accuracy for gender classification.
• The decision tree model showed higher sensitivity than the BLR model.

Conclusions:

• Cranial measurements from CT scans are effective for gender differentiation.
• Both BLR and DT models are suitable for gender prediction.
• Further research may refine these methods for forensic applications.