›› 2013, Vol. 29 ›› Issue (5): 344-347.DOI: 10.3969/j.issn.1004-5619.2013.05.007

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Stature Estimation for Sichuan Han Nationality Female Based on X-Ray Technology with Measurement of Lumbar Vertebrae

QING SI-HAN1, CHANG YUN-FENG1,2, DONG XIAO-AI1, LI YUAN1, CHEN XIAO-GANG1, SHU YONG-KANG3, DENG ZHEN-HUA1   

  1. (1. Teaching and Research of Forensic Pathology, West China School of Pre-clinical and Forensic Medicine, Sichuan University, Chengdu 610041, China; 2. Department of Forensic Science, School of Basic Medical Science, Central South University, Changsha 410013, China; 3. Institute of Forensic Science, Ministry of Public Security, Beijing 100038, China)
  • Online:2013-10-25 Published:2013-10-28

Abstract: Objective To establish the mathematical models of stature estimation for Sichuan Han female with measurement of lumbar vertebrae by X-ray to provide essential data for forensic anthropology research. Methods The samples, 206 Sichuan Han females, were divided into three groups including group A, B and C according to the ages. Group A (206 samples) consisted of all ages, group B (116 samples) were 20-45 years old and 90 samples over 45 years old were group C. All the samples were examined lumbar vertebrae through CR technology, including the parameters of five centrums (L1-L5) as anterior border, posterior border and central heights (x1-x15), total central height of lumbar spine (x16), and the real height of every sample. The linear regression analysis was produced using the parameters to establish the mathematical models of stature estimation. Sixty-two trained subjects were tested to verify the accuracy of the mathematical models. Results The established mathematical models by hypothesis test of linear regression equation model were statistically significant (P<0.05). The standard errors of the equation were 2.982-5.004 cm, while correlation coefficients were 0.370-0.779 and multiple correlation coefficients were 0.533-0.834. The return tests of the highest correlation coefficient and multiple correlation coefficient of each group showed that the highest accuracy of the multiple regression equation, y=100.33+1.489 x3-0.548 x6+ 0.772 x9+0.058 x12+0.645 x15, in group A were 80.6% (±1SE) and 100% (±2SE). Conclusion The established mathematical models in this study could be applied for the stature estimation for Sichuan Han females.

Key words: forensic anthropology, forensic radiology, tomography, X-ray computed, body height, lumbar vertebrae, regression analysis

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