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Sex Estimation From Measurements of the Mastoid Triangle and Volume of the Mastoid Air Cell System Using Classical
Hadi Sasani1, Yasin Etli2, Burak Tastekin3
1From the Medical Faculty of Namik Kemal University, Istanbul.
The American Journal of Forensic Medicine and Pathology
|December 1, 2023
Summary
Mastoid air cell system volume and mastoid triangle measurements can help determine sex. Machine learning methods achieved 88.5% accuracy in sex estimation, outperforming discriminant function analysis.
Area of Science:
- Forensic anthropology
- Radiology
- Anatomical variation
Background:
- Previous research on mastoid triangle sexual dimorphism focused on linear and area measurements.
- Mastoid air cell system volume has not been utilized for anthropological or forensic sex determination.
Purpose of the Study:
- To assess mastoid air cell system volume and mastoid triangle measurements for sex estimation.
- To compare the accuracy of sex estimation using machine learning and discriminant function analysis.
Main Methods:
- Measurements of mastoid triangle dimensions and area, and mastoid air cell system volume were taken from 200 CT images.
- Region-growing algorithms were used for volume calculation.
- Discriminant function analysis and machine learning algorithms were applied for sex estimation.
Main Results:
- Males exhibited larger mastoid triangle measurements and mastoid air cell system volumes than females.
- Stepwise discriminant function analysis yielded a 79.5% sex estimation accuracy.
- Machine learning methods achieved an 88.5% sex estimation accuracy.
Conclusions:
- Mastoid air cell system volume and mastoid triangle measurements are reliable indicators of sex.
- Machine learning algorithms offer a more accurate approach to sex estimation using these parameters.
