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作 者:崔井会 骆莹贞 范飞[1] 彭钊 邓莉萍[2] 张奎[1] 邓振华[1] CUI Jing-hui;LUO Ying-zhen;FAN Fei;PENG Zhao;DENG Li-ping;ZHANG Kui;DENG Zhen-hua(West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China;Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China)
机构地区:[1]四川大学华西基础医学与法医学院,四川成都610041 [2]四川大学华西医院放射科,四川成都610041
出 处:《法医学杂志》2018年第1期23-26,32,共5页Journal of Forensic Medicine
基 金:上海市法医学重点实验室资助项目(KF1607);四川省科技计划资助项目(2017JY0239)
摘 要:目的通过测量全脊柱X线正侧位片中全椎体相关高度,建立四川汉族女性身高推断的回归模型。方法收集200例四川汉族女性个体,准确测量其身高,应用大平板多功能数字化摄影系统采集全脊柱正侧位X线片,分别测量所有样本正侧位全椎体高度,计算正侧位全椎体高度平均值,对各指标与身高的相关性进行线性回归分析,建立推算身高的数学模型,并重新选取30例样本代入数学模型,验证模型的准确性。结果全椎体高度与身高具有良好的相关性,相关性最高的是正侧位全椎体高的平均值,所建立的3个回归方均有统计学意义(P<0.05),其中以利用侧位全椎体高建立的方程准确性最高。结论利用全椎体高度进行身高推断具有较高的准确性。Objective 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.Methods The frontal and lateral X-ray films of whole-spine were collected from200Sichuan 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 of30new samples were selected and inputted for verifying the accuracy of the mathematical models.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.Conclusion The stature estimation by the measurement of total vertebral column length has high accuracy.
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