三种肾脏深度算式对中国人的适用性  

Applicability of Three Formulas in Measuring Renal Depth of Chinese People

作　　者：杨辉[1] 李强[1] 李文亮[1] 李德宇[1] 张富强[1] 

机构地区：[1]郑州大学附属肿瘤医院、河南省肿瘤医院核医学科,郑州450008

出　　处：《中国医学影像学杂志》2013年第9期652-655,共4页Chinese Journal of Medical Imaging

摘　　要：目的探讨不同肾脏深度算式对中国人的适用性。资料与方法收集拟采用肾动态显像Gates公式测定肾小球滤过率(GFR)的201例河南地区中国人,分别采用CT实测、李乾算式、T nnesen算式和Taylor算式计算肾脏深度,代入Gates公式计算相应的GFR。以CT实测值为评价标准,采用配对资料t检验和BlandAltman法比较三种算式计算的肾脏深度的准确性和对河南地区中国人的适用性。结果李乾算式取得的左、右肾肾脏深度与CT实测值的差异无统计学意义(t=-1.174、1.499,P>0.05),左、右肾GFR差异也无统计学意义(t=-0.654、1.798,P>0.05)。T nnesen算式和Taylor算式取得肾脏深度与CT实测值以及相应的GFR之间差异均有统计学意义(P<0.05),并且二者均低估了肾脏深度和GFR。三种算式计算的肾脏深度与CT实测值之间的偏差,李乾算式最小,并显著优于T nnesen算式和Taylor算式。结论应用Gates公式测定河南地区中国人GFR时,采用李乾算式计算的肾脏深度和由此计算的GFR的准确性均明显优于T nnesen算式和Taylor算式。Purpose To investigate the applicability of different formulas in measuring renal depth of Chinese people. Materials and Methods Renal dynamic images of 201 cases in He＇nan province of China were collected. The renal depth was estimated by CT, Lee formula, Tonnesen formula and Taylor formula. Glomerular filtration rate （GFR） was obtained by the Gates method. CT value was used as evaluation criteria, accuracy and applicability of three formulas were compared using paired t test and Bland-Altman method. Results Renal depth of both sides of kidneys obtained by Lee tbrmula had no significant difference with CT （t= --1.174, 1.499, P〉0.05）. GFR of the left and the right kidney also had no significant difference （t---0.654, 1.798, P〉0.05）. Renal depth and corresponding GFR obtained by Tonnesen and Taylor formula were significantly different from CT （P〈0.05）. Both formulas underestimated renal depth and GFR, especially for Tonnesen formula. Deviation was minimal for Lee lbrmula, which was much better than Tonnesen and Taylor formula. Conclusion Using Gates method to determine renal depth and corresponding GFR of He＇nan people in China, Lee formula is better than Tonnesen and Taylor formula.

关 键 词：肾小球滤过率 肾脏深度算式 体层摄影术 发射型计算机 单光子 体层摄影术 X线计算机 河南 

分 类 号：R445.3[医药卫生—影像医学与核医学] R322.61[医药卫生—诊断学]