Daghini Elena, Juillard Laurent, Haas John A, Krier James D, Romero Juan C, Lerman Lilach O
Division of Nephrology and Hypertension and Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine, 200 First St SW, Rochester, MN 55905, USA.
Radiology. 2007 Feb;242(2):417-24. doi: 10.1148/radiol.2422052144.
To prospectively compare in pigs three mathematic models for assessment of glomerular filtration rate (GFR) on electron-beam (EB) computed tomographic (CT) images, with concurrent inulin clearance serving as the reference standard.
This study was approved by the institutional animal care and use committee. Inulin clearance was measured in nine pigs (18 kidneys) and compared with single-kidney GFR assessed from renal time-attenuation curves (TACs) obtained with EB CT before and after infusion of the vasodilator acetylcholine. CT-derived GFR was calculated with the original and modified Patlak methods and with previously validated extended gamma variate modeling of first-pass cortical TACs. Statistical analysis was performed to assess correlation between CT methods and inulin clearance for estimation of GFR with least-squares regression analysis and Bland-Altman graphical representation. Comparisons within groups were performed with a paired t test.
GFR assessed with the original Patlak method indicated poor correlation with inulin clearance, whereas GFR assessed with the modified Patlak method (P < .001, r = 0.75) and with gamma variate modeling (P < .001, r = 0.79) correlated significantly with inulin clearance and indicated an increase in response to acetylcholine.
CT-derived estimates of GFR can be significantly improved by modifications in image analysis methods (eg, use of a cortical region of interest).
前瞻性地比较猪电子束(EB)计算机断层扫描(CT)图像上评估肾小球滤过率(GFR)的三种数学模型,并将同时进行的菊粉清除率作为参考标准。
本研究经机构动物护理与使用委员会批准。在9头猪(18个肾脏)中测量菊粉清除率,并与在注入血管扩张剂乙酰胆碱前后通过EB CT获得的肾脏时间-衰减曲线(TAC)评估的单肾GFR进行比较。采用原始和改良的Patlak方法以及先前验证的首过皮质TAC的扩展伽马变量模型计算CT衍生的GFR。进行统计分析,通过最小二乘回归分析和Bland-Altman图形表示法评估CT方法与菊粉清除率之间的相关性,以估计GFR。组内比较采用配对t检验。
用原始Patlak方法评估的GFR与菊粉清除率相关性较差,而用改良Patlak方法(P <.001,r = 0.75)和伽马变量模型(P <.001,r = 0.79)评估的GFR与菊粉清除率显著相关,并表明对乙酰胆碱有反应性增加。
通过改进图像分析方法(例如,使用皮质感兴趣区域)可以显著提高CT衍生的GFR估计值。