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数字X线摄影测量活体脊柱胸段推算身高 被引量:6

Body height estimation from the length of the thoracic segments of spine by digitalradiography in living body
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摘要 目的建立人脊柱胸段长度推算身高的方法。方法应用数字X线摄影技术(DR)摄制514例中国四川汉族人群的胸部DR片,测其脊柱胸段长度,同时准确测量被研究者身高,对测量获得的脊柱胸段长度与身高数据分组进行线性回归分析,建立胸段长度推算身高的回归方程。结果建立了混合组、男性组、女性组、20—45岁男性组、大于45岁男性组、20~45岁女性组和大于45岁女性组7个回归方程,经显著性检验,均有统计学意义(P〈0.01),复相关系数(R)范围0.834~0.624,回归系数(b)范围0.259~0.389,回归方程估计值的标准误在3.88~4.72cm范围内。结论利用人类脊柱胸段长度推算身高的方法在法医学个人识别中具有重要价值。 Objective To establish the method of estimating the stature with the length of the thoracic segments of spine. Methods By applying technology of digital radiography( DR), the digital radiography of thoracic segments of 514 living subjects from the population of Han of Sichuan in China are obtained, their length of thoracic segments of spine also were measured from the radiograms and the body height of each subject was recorded. Linear regression analysis in grouping was done between the length of thoracic segments of spine and body height, and than the linear regression equations for stature estimation were produced based on the dimensions of thoracic segments. Results 7 regression equations were established from 7 groups (mixture between males and females, males, females, males between 20 and 45 years of age, males greater than 45 years of age, females between 20 and 45 years of age and females greater than 45 years of age). Each equation has been checked by analysis of variance of linear regression model and proved to be appropriate in statistic ( P 〈 0.01 ). The coefficient of multiple correlation (R) ranged from 0.834 to 0.624, the regression coefficient(b)ranged from 0.259 to 0.389, and the standard error ranged from 3.88cm to 4.72cm. Conclusion The establishment of stature estimation based on the length of the thoracic segments of human spine is valuable and suitable for forensic application in individual identification.
出处 《中国法医学杂志》 CSCD 2008年第5期296-299,共4页 Chinese Journal of Forensic Medicine
基金 四川省科技攻关项目(05JB013-006-01)
关键词 法医放射学 身高推算 胸椎 线性回归分析 数字X线摄影 Forensic radiology Stature estimation Thoracic vertebrae Linear regression analysis Digital radiography
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