الفهرس 
Introduction
Anatomy of human skullOnly 14 pages are availabe for public view
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Abstract
Sex determination and stature estimation constitute the main parts of biological profile for an unknown individual in forensic identification.
The cranium has great value in forensic identification and it is the next best contributor of sex assessment after the pelvis. Also, multiple researchers studied the correlation of different skull measurements with stature.
However, when cranial measurements are used to determine sex or stature, it is necessary to develop specific formulae for different racial population.
So, the objective of this study is to develop an anthropometric method for sex and stature assessment in sample of Egyptian population by using cranium MDCT measurements, developing a logistic regression analysis and obtaining equations for stature estimation.
This study was conducted at radiology department in Minia University Hospital. It included 150 patients; 80 males with age ranged from 21 to 60 years and 70 females with age ranged from 18 to 60 years who were subjected to head study using MDCT from December 2016 to January 2018.
Twelve cranial measurements of the skull (XCM, WFB, fmt-fmt, ZYB, OBH, OBB, PAC, BMS, GOL, BBH, GOL and BPL) were taken by 3D reconstruction of MDCT images of living persons. Through the use of univariate, multivariate and stepwise discriminant function analyses for sex determination and simple, multiple and multiple stepwise linear regression analyses for stature estimation.
As regard sex determination, the results of this study revealed that there was significant difference between males & females in all skull measurements with higher mean values in males than females, also It is proved that ZYB is the most single dimorphic with accuracy (74%).
Using multiple discriminant functional analysis for sex prediction, increased accuracy to 78.7%with sectioning point (-0.063), while using multiple stepwise discriminant functional analysis revealed that the most predictable variables selected were XCB, WFB , ZYB, OBH, BMS and BPL with increase accuracy to 80%.
As regard stature estimation, the results of the current study revealed that the mean stature was more in males (169.9±6.4 cm) in comparison with females (156.9±7.5 cm).
Furthermore the results of this study revealed a significant positive correlation between the stature and all skull measurements in combined sexes, in males only, XCB, ZYB, OBH, GOL and BPL measurements showed significant positive fair correlation with stature and in females only XCB, ZYB, OBB, PAC and GOL measurements showed significant positive fair correlation with stature.
The results of simple linear regression analyses in combined sexes concluded that the most predictable measurements were ZYB and XCB and ZYB which had lowest SEE 7.9 cm, with multiple linear regression analysis the XCB, ZYB, OBH and BPL measurements were significant with SEE is (6.21cm), with stepwise multiple linear regression analysis the most predictable model can be obtained by the use of ZYB, XCB, BPL, OBB, OBH, BMS with increase effect size (R2 0.580) and SEE (6.3cm).