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[Stature Estimation for Sichuan Han Female Based on Whole-spine X-ray Photo- graphy].
- Source :
-
Fa yi xue za zhi [Fa Yi Xue Za Zhi] 2018 Feb; Vol. 34 (1), pp. 23-26. Date of Electronic Publication: 2018 Feb 25. - Publication Year :
- 2018
-
Abstract
- Objectives: 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.<br />Methods: The frontal and lateral X-ray films of whole-spine were collected from 200 Sichuan Han females 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.<br />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 equation established with lateral total vertebral column length showed the highest accuracy.<br />Conclusions: The stature estimation by the measurement of total vertebral column length has high accuracy.<br />Competing Interests: The authors of this article and the planning committee members and staff have no relevant financial relationships with commercial interests to disclose.<br /> (Copyright© by the Editorial Department of Journal of Forensic Medicine.)
Details
- Language :
- Chinese
- ISSN :
- 1004-5619
- Volume :
- 34
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Fa yi xue za zhi
- Publication Type :
- Academic Journal
- Accession number :
- 29577700
- Full Text :
- https://doi.org/10.3969/j.issn.1004-5619.2018.01.005