QUANTIFICATION AND PARAMETRIC IMAGING OF RENAL CORTICAL BLOOD-FLOW IN-VIVO BASED ON PATLAK GRAPHICAL ANALYSIS
QUANTIFICATION AND PARAMETRIC IMAGING OF RENAL CORTICAL BLOOD-FLOW IN-VIVO BASED ON PATLAK GRAPHICAL ANALYSIS
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DOI：
10.1038/ki.1993.340
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发表时间：
1993-11-01
影响因子：
19.6
通讯作者：
SCHELBERT, HR
中科院分区：
文献类型：
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作者：
NITZSCHE, EU;CHOI, Y;SCHELBERT, HR
Patlak图形分析应用于定量肾皮质血流量与N-13氨和动态正电子发射断层扫描。在具有广泛的正常和异常肾血流的猪肾移植模型（N = 57项研究）和20名健康人类志愿者（N = 45项研究）中进行测量。通过Patlak方法对肾皮质血流量的估计与N-13氨的二室模型进行了比较。此外，估计肾皮质血流量的N-13氨PET方法进行了比较，在10个正常的人类志愿者的估计代谢惰性，自由扩散的O-15水和一室模型。Patlak图形分析法估计的肾皮质血流量与猪（y = -0.05 +1.01x，r = 0.99）和人（y = 0.57 + 0.88x，r = 0.93）的标准二室模型呈线性相关。用O-15水测得的肾皮质血流量与用N-13氨测得的肾皮质血流量及Patlak图解法测得的肾皮质血流量呈线性相关（y = 0.71 + 0.84x，r = 0.86）。肾皮质血流量估计是高度可重复的N-13氨和O-15水测量在人类。它的结论是，Patlak图形分析与N-13氨动态正电子发射断层扫描成像呈现准确和可重复的估计肾皮质血流量。此外，图形分析方法比标准模型拟合方法快1,000倍，并且适合于在临床环境中生成肾血流的参数图像。
Patlak graphical analysis was applied to quantify renal cortical blood flow with N-13 ammonia and dynamic positron emission tomography. Measurements were made in a swine model of kidney transplantation with a wide range of normal and abnormal renal blood flows (N = 57 studies) and in 20 healthy human volunteers (N = 45 studies). Estimates of renal cortical blood flow by the Patlak method were compared to those from a two-compartment model for N-13 ammonia. In addition, estimates of renal cortical blood flow by the N-13 ammonia PET approach were compared in 10 normal human volunteers to estimates by the metabolically inert, freely diffusible O-15 water and a one-compartment model. Patlak graphical analysis estimates of renal cortical blood flow correlated linearly with the standard two-compartment model in pigs (y = -0.05 + 1.01x, r = 0.99) and in humans (y = 0.57 + 0.88x, r = 0.93). Estimates of renal cortical blood flow by O-15 water in human volunteers were also linearly correlated with those by N-13 ammonia and the Patlak graphical analysis (y = 0.71 + 0.84x, r = 0.86). Renal cortical blood flow estimates were highly reproducible both with N-13 ammonia and O-15 water measurements in humans. It is concluded that the Patlak graphical analysis with N-13 ammonia dynamic positron emission tomographic imaging renders accurate and reproducible estimates of renal cortical blood flow. Moreover, the graphical analysis approach is 1,000 times faster than the standard model fitting approach and suitable for generating parametric images of renal blood flow in the clinical setting.