Stature Estimation of Sichuan Han Females Based on X-ray Photography of Total Lower Limbs / 法医学杂志

OBJECTIVES@#To establish a mathematical model of stature estimation for Sichuan Han females on the basis of the relationship between lower limbs and individual height, thus to provide evidence for forensic identification.@*METHODS@#Samples were collected from 171 Sichuan Han females. Large flat panel multi-function digital photography system was used to take the full-body X-ray films of the lower limbs. Indexes of long bones and stature of the subjects were measured, respectively. A linear regression analysis was carried out on the correlation between them, and a mathematical model of the stature calculation was established. Then the mathematical model was used to calculate the stature of another 29 Sichuan Han females to test its accuracy.@*RESULTS@#The maximum length of femur （x1） had the highest correlation with stature. A total of 13 linear regression equations were established （P<0.05）, with the correlation coefficient （R） 0.821-0.897 and the standard error of the estimation （SEE） 2.994-3.812 cm. The backtesting showed that the equation y=41.604+1.205 x1+1.318 x6+2.444 x12+1.852 x13-2.388 x14 had the smallest mean absolute deviation （2.485 years old） and the highest accuracy of ±2SEE （92.9%）, and that the equation y=48.783+2.568 x1 had the highest accuracy of ±1SEE （60.7%）.@*CONCLUSIONS@#The stature estimation is high by using the long bones of the lower limbs has high accuracy.

Stature Estimation for Sichuan Han Female Based on Whole-spine X-ray Photo-graphy / 法医学杂志

Objective To establish regression models of stature estimation for Sichuan Han female by the measurement of total vertebral column length in the frontal and lateral X-ray films of whole-spine. Methods The frontal and lateral X-ray films of whole-spine were collected from 200 Sichuan Han fe-males by large flat-panel multi-functional universal radiography and fluoroscopy system. The data and mean values of frontal and lateral total vertebral column length were measured and calculated in all the samples, respectively. The relationship of combined multi-markers and stature were analysed by linear regression analysis, and the mathematical models of stature estimation were established. The data of 30 new samples were selected and inputted for verifying the accuracy of the mathematical models. Results The total vertebral column length showed a good correlation with stature, and the mean values of the frontal and lateral X-ray films of total vertebral column length had the highest correlation coefficients. Three established linear regression equation models were statistically significant(P＜0.05), and the equa-tion established with lateral total vertebral column length showed the highest accuracy. Conclusion The stature estimation by the measurement of total vertebral column length has high accuracy.