肾动态显像法计算中国人肾脏深度  

Measuring kidney depth of Chinese people with kidney dynamic imaging

作　　者：李乾[1] 张春丽[1] 付占立[1] 王荣福[1] 

机构地区：[1]北京大学第一医院核医学科,北京100034

出　　处：《中国医学影像技术》2007年第2期288-291,共4页Chinese Journal of Medical Imaging Technology

摘　　要：目的获得肾动态显像法中国人的肾脏深度预测方程。方法收集2004年12月-2005年4月间行腹部CT检查的患者共147例。于肾门水平,测定肾脏前后表面到后背体表皮肤的垂直距离,取其平均值,作为肾脏深度。采用多元线性逐步回归的方法分析患者的CT肾脏深度与性别、年龄、身高、体重、体重/身高的关系,得出左右侧肾脏深度计算公式。147例患者随机分成两组,一组得出回归方程,另一组用于验证方程,最后用所有的病例得出最终的肾脏深度计算公式。与目前应用的Tonnesen法使用Medcalc软件中的Bland-Altman法进行对比。结果本研究发现对肾脏深度有统计学意义的变量是体重/身高和年龄,肾脏深度计算公式为:右肾深度(cm)=15.449×(体重/身高)+0.009637×年龄+0.782,左肾深度(cm)=16.772×(体重/身高)+0.01025×年龄+0.224(体重:kg,身高:cm)。该方程优于Tonnesen法。结论本研究选择成年中国人为研究对象,使用CT测定的肾脏深度作为参考值,得出国人肾脏深度的预测方程,其准确性优于目前应用的Tonnesen法。Objective To explore a better formula to calculate the kidney depth of the Chinese people in kidney dynamic imaging. Methods One hundred and forty-seven cases, were selected from the patients who undertook abdomen CT scanning from December, 2004 to April, 2005, and their sex, age, height and weight were recorded. Kidney depth was determined by measuring the depth from the skin to the anterior and posterior surfaces of the kidney at the renal hilum and then the average of these values were taken as the kidney depth. A multiple linear stepwise regression analysis was carried out to determine the relative importance of each of several variables in order to develop a new regression equation for estimating right and left kidney depth. The 147 cases were divided into two groups randomly, of which the first group was used to derive a regressive formula, and the second was used to verify the formula. Finally, all the cases together were studied to derive a formula to calculate the kidney depth. The comparison between the two methods was conducted by applying Bland-Ahman method. Resalts The depth regression equations deduced from this study were as followed： right kidney depth （cm） ： 15. 449 × （weight/height） ＋0. 009637 × age ＋ 0. 782, left kidney depth （cm） ： 16. 772 X （weight/height） ＋ 0. 01025 X age ＋ 0. 224 （weight： kg, height., cm）. The equations was more accurate than Tonnesen formula. Conclusion In this research, with the kidney depth of CT as reference value, the new formula was obtained for the Chinese people in kidney dynamic imaging, and it was more accurate than Tonnesen formula.

关 键 词：肾脏深度 肾小球滤过率 Tonnesen法 

分 类 号：R817.4[医药卫生—影像医学与核医学] R814.42[医药卫生—放射医学]