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通过CT扫描评估意大利人群肩胛骨测量值进行身高估计

Stature estimation from scapular measurements by CT scan evaluation in an Italian population.

作者信息

Giurazza Francesco, Del Vescovo Riccardo, Schena Emilano, Cazzato Roberto Luigi, D'Agostino Francesco, Grasso Rosario Francesco, Silvestri Sergio, Zobel Bruno Beomonte

机构信息

Radiology Department, Università Campus Bio-Medico di Roma, Italy.

出版信息

Leg Med (Tokyo). 2013 Jul;15(4):202-8. doi: 10.1016/j.legalmed.2013.01.002. Epub 2013 Feb 26.

Abstract

This study evaluated the correlation between scapula size and stature and developed standard equations in order to estimate stature by CT scan evaluation. A total of 200 healthy Italian subjects (100 men and 100 women, mean age 64.2±12.8years) underwent thoracic CT scan evaluation during pulmonary screening in our department; we measured the stature of each patient with standard anthropometric instruments and then analyzed images to calculate the longitudinal scapular length (LSL) and the transverse scapular length (TSL). The correlation between stature and each parameter measured was analyzed by dividing the population into two groups, males and females, and was examined by simple regression analysis using Pearson's correlation coefficient (r). Each anthropometric variable showed a significant difference between males and females (p value <0.001). The correlation coefficients (r-values) were LSL=0.74 and TSL=0.51 in males and LSL=0.70 and TSL=0.48 in females. In both sexes the r-values showed a significant correlation between stature and LSL. Our study demonstrates that scapulae can be used for stature estimation; in our sample LSL was found to have a better correlation with stature then TSL. hm=4.247LSL+93.74 and hf=4.031LSL+92.38 are the formulae that provide the most accurate stature assessment in males and females respectively.

摘要

本研究评估了肩胛骨大小与身高之间的相关性,并制定了标准方程,以便通过CT扫描评估来估计身高。共有200名健康的意大利受试者(100名男性和100名女性,平均年龄64.2±12.8岁)在我们科室进行肺部筛查时接受了胸部CT扫描评估;我们使用标准人体测量仪器测量了每位患者的身高,然后分析图像以计算肩胛骨纵向长度(LSL)和肩胛骨横向长度(TSL)。通过将人群分为男性和女性两组,分析身高与每个测量参数之间的相关性,并使用Pearson相关系数(r)通过简单回归分析进行检验。每个人体测量变量在男性和女性之间均显示出显著差异(p值<0.001)。男性的相关系数(r值)为LSL = 0.74和TSL = 0.51,女性为LSL = 0.70和TSL = 0.48。在两性中,r值均显示身高与LSL之间存在显著相关性。我们的研究表明,肩胛骨可用于估计身高;在我们的样本中,发现LSL与身高的相关性比TSL更好。hm = 4.247 * LSL + 93.74和hf = 4.031 * LSL + 92.38分别是在男性和女性中提供最准确身高评估的公式。

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