根据颈椎CT片特征指标进行同一认定的研究

目的选择颈椎CT片上的特征指标,建立逐步回归方程,探讨其在法医学同一认定中的应用价值。方法收集130名被检查者颈椎CT片各1张,70名被检查者不同次颈椎CT影像片各2张。选择并测量颈椎CT片上的13项指标值,分别计算被检查者随机分组后相同测量指标的组间差值,以及同一人不同次测量指标间的差值,运用二分类logistic逐步回归分析,建立各项指标的一元回归方程和多项指标的多元回归方程,并对方程进行盲测检验。结果建立的13个一元方程中同一认定的准确率在69.0%~90.4%之间;建立的4个多元回归方程的准确率在90.4%~96.7%之间,盲测准确率为100%。结论本文在CT片上选择的13项特征指标可以用于同一认定,使用时应尽可能选用多元指标以得到更准确的结果。

The study of the cervical identiifed on CT iflm

Objective Selected the characteristic index of cervical CT tablets, and established stepwise regression equation, to explore the value of its application in forensic medicine identification. Method Each one cervical CT images of 130 cases were collected, 70 subjects were examined for 2 cervical CT images of each. Selected and measured 13 indicators of cervical CT iflms, the difference between the groups was calculated by the same measurement indicators after the random grouping of the inspectors, and the difference between the different measurement indexes of the same person. Using two classification logistic Stepwise regression analysis, establish the regression equation of the index and multiple regression equation of multinomial index, and the test of the equation was carried on blind test. Results Accuracy of 13 equations of the established element is 69.0%~90.4%,accuracy of 4 multiple regression equation is 90.4%~96.7%, blind accuracy rate is 100%. Conclusion 13 feature indicators selected from CT tablets can be used for the same identiifcation, in practice researchers should use multivariate index to get more accurate result.