Wu H M, Hoh C K, Buxton D B, Kuhle W G, Schelbert H R, Choi Y, Hawkins R A, Phelps M E, Huang S C
Department of Molecular and Medical Pharmacology, UCLA School of Medicine 90095-6948, USA.
J Nucl Med. 1995 Nov;36(11):2087-93.
In this study, factor analysis of dynamic structures (FADS) was used to extract the "pure" blood-pool time-activity curves (TACs) and to generate parametric myocardial blood flow (MBF) images (pixel unit: ml/min/g).
Ten dynamic 13N-ammonia dog PET studies (three baseline, five hyperemia and two occlusion) were included. Three factors (TACs) and their corresponding factor images (the right ventricular and left ventricular blood pools and myocardial activities) were extracted from each study. The left ventricular factors matched well with the plasma TACs. The factor images of myocardium were then converted to a parametric images of MBF using a relationship derived from a two-compartment model.
MBF estimates obtained from FADS correlated well with MBF estimates obtained with the two-compartment model (r = 0.98, slope = 0.84) and microsphere techniques (r = 0.96, slope = 0.94). FADS-generated MBF parametric images have better image quality and lower noise levels compared to those generated with Patlak graphical analysis.
Regional MBF can be measured accurately and noninvasively with 13N-ammonia dynamic PET imaging and FADS. The method is simple, accurate and produces parametric images of MBF without requiring blood sampling and spillover correction.
在本研究中,动态结构因子分析(FADS)用于提取“纯”血池时间-活性曲线(TAC)并生成心肌血流(MBF)参数图像(像素单位:ml/min/g)。
纳入10例动态13N-氨犬PET研究(3例基线、5例充血和2例闭塞)。从每项研究中提取三个因子(TAC)及其相应的因子图像(右心室和左心室血池以及心肌活性)。左心室因子与血浆TAC匹配良好。然后使用从双室模型推导的关系将心肌因子图像转换为MBF参数图像。
FADS获得的MBF估计值与双室模型获得的MBF估计值(r = 0.98,斜率 = 0.84)和微球技术获得的MBF估计值(r = 0.96,斜率 = 0.94)相关性良好。与Patlak图形分析生成的图像相比,FADS生成的MBF参数图像具有更好的图像质量和更低的噪声水平。
使用13N-氨动态PET成像和FADS可以准确、无创地测量局部MBF。该方法简单、准确,无需采血和溢出校正即可生成MBF参数图像。