Using the rPatlak plot and dynamic FDG-PET to generate parametric images of relative local cerebral metabolic rate of glucose  

作　　者：WU YiGen ZHOU Yun BAO ShangLian HUANG SungCheng ZHAO XiaoHu LI Jun 

机构地区：[1]School of Physics and Optoelectronic Engineering,Nanjing University of lnformation Science and Technology,Nanjing 210044,China [2]Beijing City Key Laboratory of Medical Physics and Engineering,Peking University,Beijing 100871,China [3]The Russell H.Morgan Department of Radiology and Radiological Science,School of Medicine,Johns Hopkins University.Baltimore,MD 21287,USA [4]Department of Molecular and Medical Pharmacology,UCLA David Geffen School of Medicine,University of California in Los Angeles,Los Angeles,CA 90095,USA [5]Imaging Department of Tongji Hospital of Tongji University,Shanghai 200065,China

出　　处：《Chinese Science Bulletin》2012年第28期3811-3818,共8页

基　　金：supported by the National Natural Science Foundation of China (30840033,30770615 and 30970818);the National Basic Research Program of China (2011CB707701);the Joint Research Foundation of Beijing Education Committee (JD100010607)

摘　　要：Local cerebral metabolic rate of glucose(LCMRGlc) is an important index for the description of neural function.Dynamic 18 F-fluoro-2-deoxy-D-glucose(FDG) positron emission tomography(PET) has been used for quantitative imaging of LCMRGlc in humans,but is seldom used routinely because of the difficulty in obtaining the input function noninvasively.A reference tissue-based Patlak plot model(rPatlak) was proposed to generate parametric images of LCMRGlc in a quantitative dynamic FDG-PET study without requiring blood sampling.Dynamic emission scans(4×0.5,4×2 and 10×5 min) were acquired simultaneously with an IV bolus injection of 155 MBq of FDG.Arterial blood samples were collected during the scans via a catheter placed in the radial artery.Simulation data were also generated using the same scan sequence.The last ten scan data sets were used in a graphical analysis using the Patlak plot.The ratio of LCMRGlc estimated from the original Patlak(oPatlak,using plasma input) was used as the gold standard,and the standardized uptake value ratio(SUVR) was also calculated for comparison.Eight different tissues including white matter,gray matter,and whole brain were chosen as reference tissues for evaluation.Regardless of the reference region used,the slopes in the linear regression between oPatlak and rPatlak were closer to unity than the regression slopes between oPatlak and SUVR.The intercepts for the former were also closer to 0 than those for the latter case.The squared correlation coefficients were close to 1.0 for both cases.This showed that the results of rPatlak were in good agreement with those of oPatlak,however,SUVR exhibited more deviation.The simulation study also showed that the relative variance and bias for rPatlak were less than those for SUVR.The images obtained with rPatlak were very similar to those obtained with oPatlak,while there were differences in the relative spatial distribution between the images of SUVR and oPatlak.This study validates that the rPatlak method is better than the SUVR method and Local cerebral metabolic rate of glucose （LCMRGlc） is an important index for the description of neural function. Dynamic 18F-fluoro-2-deoxy-D-glucose （FDG） positron emission tomography （PET） has been used for quantitative imaging of LCMRGlc in humans, but is seldom used routinely because of the difficulty in obtaining the input function noninvasively. A reference tis- sue-based Patlak plot model （rPatlak） was proposed to generate parametric images of LCMRGlc in a quantitative dynamic FDG-PET study without requiring blood sampling. Dynamic emission scans （4x0.5, 4x2 and 10x5 min） were acquired simulta- neously with an IV bolus injection of 155 MBq of FDG. Arterial blood samples were collected during the scans via a catheter placed in the radial artery. Simulation data were also generated using the same scan sequence. The last ten scan data sets were used in a graphical analysis using the Patlak plot. The ratio of LCMRGlc estimated from the original Patlak （oPatlak, using plas- ma input） was used as the gold standard, and the standardized uptake value ratio （SUVR） was also calculated for comparison. Eight different tissues including white matter, gray matter, and whole brain were chosen as reference tissues for evaluation. Re- gardless of the reference region used, the slopes in the linear regression between oPatlak and rPatlak were closer to unity than the regression slopes between oPatlak and SUVR. The intercepts for the former were also closer to 0 than those for the latter case. The squared correlation coefficients were close to 1.0 for both cases. This showed that the results of rPatlak were in good agree- ment with those of oPatlak, however, SUVR exhibited more deviation. The simulation study also showed that the relative vari- ance and bias for rPatlak were less than those for SUVR. The images obtained with rPatlak were very similar to those obtained with oPatlak, while there were differences in the relative spatial distribution between the images of SUVR and oPatlak. This study v

关 键 词：D-葡萄糖 分布图像 脑组织 代谢率 正电子发射断层扫描 参数化 情节 输入功能 

分 类 号：TP311.11[自动化与计算机技术—计算机软件与理论] TS235.9[自动化与计算机技术—计算机科学与技术]