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Objective: Five measurements of the calcaneus taken on digital radiography (DR) of adults of Han Population of Sichuan Province were selected to determine sex by multivariate discriminant analysis., Methods: Lateral radiographs of calcaneus taken from 393 subjects were collected. The samples were randomly divided into the experimental group (148 males and 186 females) and the examined group (26 males and 33 females). Five measurements were taken from the radiography. The analysis of variance (AVON) was carried out to determine if there was significant difference between the male and female. The discriminant functions were drawn by Fisher discriminant analysis. The effects of all obtained functions were evaluated with the examined samples., Results: There was statistically significant difference in the five measurements between the males and the females (P<0.05). Six groups of discriminant functions were obtained with an accuracy ranged from 78.4% to 88.9%. When applied on the examined samples, the sex discriminant accuracy varied from 79.7% to 86.4%., Conclusion: These five measurements acquired from the lateral radiographs of calcaneus could be used for sex assessment during forensic identification of individuals.

Objective: To establish the regression equations and to evaluate the feasibility of measuring dimensions of cervical vertebrae with lateral films of computer radiography (CR)., Methods: Anterior heights and posterior heights of C3-C7 were measured in the lateral films of the cervical vertebrae in 150 adult males from Sichuan Han population in China The body height of each individual was recorded. Linear regression analysis between the height of the cervical vertebrae and body height was performed to establish the regression equations for stature estimation. In addition, the paired t-test between the predictive value and the actual body height, the residual analysis, the test of equal scedasticity and colinearity were performed in all equations., Results: Thirty one statistically significant simple regression equations and 20 statistically significant multiple regressions equations were established. The coefficiencies of multiple correlations were from 0.656 to 0.259 and the standard errors of estimate were between 4.30 cm and 5.79 cm. Conclusion All equations established could be used to estimate the body height of the Han population of Sichuan adult males. It could be helpful to estimate statures from the CR films based on the dimensions of cervical vertebrae.

Objective: To obtain regression formula for estimation of stature in Han population in Sichuan Province from length of the upper extremity long bones by digital radiography., Methods: The statures of 365 healthy adults and digital radiographs of their right upper extremity long bones were measured. All statistical dispositions were done in SPSS including description and regression analysis., Results: Twenty-seven simple regression and 3 multiple regression formulae with statistic significance in estimation of the stature from the sum of the length of the upper extremity long bones were established. Regression coefficient was higher in ulna than in radius, in male than in female, and was more accurate in multiple regression formulae than in simple regression formulae., Conclusion: Digital radiograph measurement of the length of the upper extremity long bones seems to be a simple and practical method to estimate human stature in forensic practice.

Objective: To study identical indexes of frontal sinus in different locative computer radiology., Methods: Frontal sinus radiographs were analysed by combining indexes of kinds of distances and patterns, further using descriptive study to describe frontal sinus and to analyse data statistically., Results: The 8-identical classification of frontal sinus was proposed, basing on the ratio of frontal sinus width and orbit width, the bilateral asymmetry, the superiority of side, the numbers of arches of upper borders (left and right), the partial septa (left and right) and the location of the central septa. There was no statistical significance of sinus between sexes (P>0.05)., Conclusion: Frontal sinus is tremendous inter-individual variation so it can be used for identification, but it can not be used for sex determination.