法医学杂志

法医学杂志 ›› 2016, Vol. 32 ›› Issue (2): 97-99.DOI: 10.3969/j.issn.1004-5619.2016.02.005

• 论著 • 上一篇    下一篇

西南地区汉族男性CT颅面径线与身高的关系

涂  梦，骆莹贞，范  飞，云利兵，邓振华   

  1. （四川大学华西基础医学与法医学院法医病理教研室，四川 成都 610041）
  • 发布日期:2016-04-25 出版日期:2016-04-28
  • 通讯作者: 云利兵，男，博士，副教授，主要从事法医临床学与法医病理学研究和教学；E-mail：yunlibing@scu.edu.cn
  • 作者简介:涂梦（1990—），女，硕士研究生，主要从事法医临床学与法医影像学研究；E-mail：tumeng0512@126.com

Relationship between Body Height and Craniofacial Lines Measured by CT in Southwest Han Males

TU MENG, LUO YING-ZHEN, FAN FEI, YUN LI-BING, DENG ZHEN-HUA   

  1. （Department of Forensic Pathology, West China of Pre-clinical and Forensic Medicine, Sichuan University, Chengdu 610041, China）
  • Online:2016-04-25 Published:2016-04-28
  • Contact: 邓振华，男，硕士，教授，主要从事法医临床学与影像学研究和教学；E-mail：fydzh63@163.com

摘要： 目的 通过CT测量西南地区汉族男性颅面径线，建立该地区汉族男性颅面径线与身高的回归模型，为法医人类学研究积累数据。 方法 收集273例西南地区汉族男性头部CT资料，确定颅面部7条径线，运用图像后处理软件进行多平面重建和容积再现，对所选径线进行测量。对各测量指标与身高的相关性运用SPSS 21.0进行分析，建立推断身高的回归方程，并重新选取50例样本代入该数学模型进行检验。 结果 建立了7条径线的线性回归方程（P<0.05）；一元线性回归方程相关系数为0.190~0.439，标准估计误差（SEE）为4.597~5.023 cm；多元线性回归方程复相关系数为0.494~0.524，SEE为4.418~4.458 cm。回代检验得y=83.959+3.589 x6+2.573 x2，±1SEE准确率最高，为30%；y=72.646+3.316 x6+1.586 x2+1.553 x4+2.211 x3，±2SEE准确率最高，为92%。 结论 本研究所选取的7条径线与身高均有明显的直线相关性，所建立的多元回归方程适用于推断西南地区汉族男性身高。

关键词: 法医学, 体层摄影术, X线计算机, 身高, 颅面, 汉族, 男性

Abstract: Objective To establish regression model between craniofacial lines and body height by measuring craniofacial lines in Southwest Han males using CT and to accumulate data for the study of forensic anthropology. Methods Head CT data of 273 Han males in Southwest were collected and 7 craniofacial lines were determined. Multiplanar reconstruction and volume rendering were performed by image post-processing software and the selected lines were measured. The relationship between each measuring indicator and body height was analyzed using SPSS 21.0 software. The regression equation of body height estimation was established and 50 samples were selected again and put into the mathematics models to verify its accuracy. Results The linear regression equations of 7 lines were established （P<0.05）. The correlation coefficients of the unary linear regression equations were 0.190-0.439 and the standard errors of the estimate （SEE） were 4.597-5.023 cm. The correlation coefficients of the multiple linear regression equation were 0.494-0.524 and the SEE were 4.418-4.458 cm. The return tests showed that the highest ±1SEE accuracy of the multiple regression equation: y=83.959+3.589 x6+2.573 x2, were 30%; and the highest ±2SEE accuracy of the multiple regression equation: y=72.646+3.316 x6+1.586 x2+1.553 x4+2.211 x3, were 92%. Conclusion There is significant linear correlation between 7 selected lines and the stature in this study, and the plural linear regression equation established could be applied for estimating the stature of Southwest Han males.

Key words: forensic medicine, tomography, X-ray computed, body height, craniofacial, Han nationality, male

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