3D CT Craniometric Study of Thai Skulls Revelance to Sex Determination Using ogistic Regression Analysis

Abstract

This study aimed to evaluate the sexual dimorphism in the Thai dry skull based on three-dimensional computed tomography (3D CT) data, and to develop practical a logistic regression model for the sex determination. A total of 21 cranial measurements were investigated from 56-male and 35-female skulls of known sex and race. 3D CT craniometry with identified landmarks and calculated measurements were performed using medical image processing software (MIMICS, Materialise N.V., Leuven, Belgium). According to craniometry, the results indicated that the dimensions of male skull were larger than that of a female. Of 4 cranial measurements displayed non-significant (p < 0.05) sexual dimorphism (maximum frontal breadth, anterior interorbitale breadth, nasal breadth, and palatal length). The logit response model was as follows: ln (odds) = Z = 79.759 - 0.392(NA-BA) - 0.200(ZMl-ZMr)-0.520(NA-PR) +0.332(OR-STA). These had the overall accuracy of 92.3% and the accuracy of 92.85%, 91.42% among males and females, respectively (using cut off point for P = 0.5). Using a logistic regression analysis, 3D CT craniometry can be used to determination of sex among Thai.