基于腰椎高度X线测量技术推断四川汉族女性身高

目的通过腰椎高度X线测量技术,建立四川汉族女性身高的数学模型,为法医人类学研究积累基础数据。方法收集206例四川汉族女性个体按年龄分为A、B、C 3组,其中A组(206例)不分年龄,B组(116例)为20~45岁,C组(90例)为45岁以上,并应用计算机X线摄影(computer radiography,CR)技术分别测量所有样本腰椎CR片中5个椎体(L1~L5)前缘、后缘、中央高度(x1~x15),脊柱腰段中央总长度(x16),同时测量每个个体真实身高,对各测量指标联合与身高的相关性进行线性回归分析,建立推断身高的数学模型,并重新选取62例样本代入数学模型,检验模型的准确性。结果所建立的数学模型经线性回归模型假设检验,均具有统计学意义(P0.05),回归方程的推断标准误为2.982~5.004cm,相关系数为0.370~0.779,复相关系数为0.533~0.834。对每组相关系数、复相关系数最高的方程进行回代检验,其中A组的y=100.33+1.489 x3-0.548 x6+0.772 x9+0.058 x12+0.645 x15的准确率最高,为80.6%(±1SE)、100%(±2SE)。结论本研究建立的数学模型适用于推断四川汉族女性身高。

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

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 re-search. 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 C Rtechnology, 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 Awere 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.