四川汉族青少年骨盆X线骨龄评估  被引量:3

Skeletal Age Estimation by Pelvic X-ray of Han Teenagers in Sichuan

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作  者:董晓爱[1] 赵欢[1] 青思含[1] 郑涛[1] 陈晓刚[1] 邓振华[1] 

机构地区:[1]四川大学华西基础医学与法医学院法医病理学教研室,四川成都610041

出  处:《法医学杂志》2013年第1期12-16,共5页Journal of Forensic Medicine

摘  要:目的应用骨盆髂嵴与坐骨结节骨骺发育状况的X线影像学特征评估四川汉族青少年的生活年龄。方法参照Tw:分级原则,结合本次研究选取的年龄跨度、骨骺发育规律,将髂嵴骨骺发育程度分为8级(0~7级),坐骨结节的骨骺发育程度分为7级(0~6级)。再根据上述分级,对691例四川汉族16。20周岁青少年骨盆X线片进行阅片,运用SPSS19.0软件进行统计学分析,并将年龄(Y)与髂嵴(X1)、坐骨结节(X2)骨骺发育级别作多元线性回归方程。结果双侧髂嵴、坐骨结节骨骺发育差异无统计学意义(P〉0.05),髂嵴、坐骨结节骨骺发育在两性之间差异亦无统计学意义(P〉0.05)。多元回归方程为y=15.269+0.444X.+0.236X2,样本回代检验表明该方程准确性较高。结论通过髂嵴、坐骨结节骨骺发育程度的多元回归方程进行骨龄评估,可以为四川汉族人口进行18周岁的年龄评估提供科学依据。Objective To estimate the chronological age of Han teenagers in Sichuan by the epiphyses development characteristics of iliac crest and ischial tuberosity in X-ray digital images. Methods Accord- ing to TW2 classification principle, combining with the age range of our subjects and epiphyses develop- ment regularity, the degree of epiphyses development of iliac crest and ischial tuberosity had been divid- ed into 8 grades (0-7) and 7 grades (0-6), respectively. Based on the degrees, the pelvic X-rays digital images of 691 samples of 16-20 aged teenagers were read and statistically analyzed by SPSS 19.0 soft- ware. The multiple linear regression equation was established by skeletal age (Y), development degree of iliac crest epiphyses (X1) and ischial tuberosity epiphyses (X2). Results There were no statistical dif- ferences between two sides of epiphyses development of iliac crest and ischial tuberosity (P〉0.05). There were no statistical difference between genders (P〉0.05). The re-substitution method of the samples showed that the accuracy of equation as Y=15.269+O.444XI+0.236 X2 was high. The result of the re-substitution method showed a high accuracy of the equation. Conclusion The multiple linear regression equation could be used to identify the skeletal age for providing the scientific basis to identify the 18-year-old Han population in Sichuan.

关 键 词:法医人类学 年龄测定 骨骼 骨盆 体层摄影术 X线计算机 四川 汉族 

分 类 号:R585[医药卫生—内分泌]

 

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