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Am J Nucl Med Mol Imaging 2012;2(4):448-457
Original Article
18F-Deoxyglucose (FDG) kinetics evaluated by a non-compartment model based
on a linear regression function using a computer based simulation: correlation
with the parameters of the two-tissue compartment model
Ludwig G Strauss, Leyun Pan, Caixia Cheng, Antonia Dimitrakopoulou-Strauss
Medical PET Group-Biological Imaging, CCU Nuclear Medicine, German Cancer Research Center, Heidelberg, Germany
Received June 13, 2012; Accepted July 16, 2012; Epub October 15, 2012; Published October 30, 2012
Abstract: Parametric imaging with a linear regression function of the tracer activity curve fit is a non-compartmental method, which
can be used for the evaluation of dynamic PET (dPET) studies. However, the dependency of the slope of the regression function fit on
the 18F-Deoxyglucose (FDG) 2-tissue compartment parameters (vb, k1-k4) is not known yet. This study is focused on the impact of
the 2-tissue compartment parameters on the slope of the curve. A data base of 1760 dynamic PET FDG studies with the
corresponding 2-tissue compartment model parameter solutions were available and used to calculate synthetic time-activity data
based on the 2-tissue compartment model. The input curve was calculated from the median values of the input curves of the 1760
dynamic data sets. Then, sequentially each of the five parameters (vb, k1-k4) of the 2-tissue compartment model was varied from 0.1
to 0.9 and tracer activity curves were calculated (60000 curves/parameter). A linear regression function was fitted to these curves. The
comparison of the slope values of the regression function with the corresponding compartment data revealed a primary dependency
on k3, which is associated with the intracellular phosphorylation of FDG. The squared correlation coefficient was high with
r2=0.9716, which refers to 97 % explained variance of the data. k2 and vb had only a minor impact, while k1 and k4 had no impact on
the slope values. The results demonstrate, that k3 has a major impact on the slope values calculated by the linear regression
function. (ajnmmi1206004).
Keywords: FDG, non-compartment model, parametric imaging
Address all correspondence to:
Dr. Ludwig G Strauss, Dr. Leyun Pan, Dr. Caixia Cheng, Dr. Antonia Dimitrakopoulou-Strauss
Medical PET Group-Biological Imaging (E060-1), CCU Nuclear Medicine
German Cancer Research Center, Im Neuenheimer Feld 280
D-69120 Heidelberg, Germany.
Ludwig G Strauss, Phone: +49-6221-42-2500; Fax: +49-6221-42-2476; E-mail: lgs@ads-lgs.de
Leyun Pan, E-mail: l.pan@dkfz.de
Caixia Cheng, E-mail: c.cheng@dkfz.de
Antonia Dimitrakopoulou-Strauss, E-mail: ads@ads-lgs.de
Original Article
18F-Deoxyglucose (FDG) kinetics evaluated by a non-compartment model based
on a linear regression function using a computer based simulation: correlation
with the parameters of the two-tissue compartment model
Ludwig G Strauss, Leyun Pan, Caixia Cheng, Antonia Dimitrakopoulou-Strauss
Medical PET Group-Biological Imaging, CCU Nuclear Medicine, German Cancer Research Center, Heidelberg, Germany
Received June 13, 2012; Accepted July 16, 2012; Epub October 15, 2012; Published October 30, 2012
Abstract: Parametric imaging with a linear regression function of the tracer activity curve fit is a non-compartmental method, which
can be used for the evaluation of dynamic PET (dPET) studies. However, the dependency of the slope of the regression function fit on
the 18F-Deoxyglucose (FDG) 2-tissue compartment parameters (vb, k1-k4) is not known yet. This study is focused on the impact of
the 2-tissue compartment parameters on the slope of the curve. A data base of 1760 dynamic PET FDG studies with the
corresponding 2-tissue compartment model parameter solutions were available and used to calculate synthetic time-activity data
based on the 2-tissue compartment model. The input curve was calculated from the median values of the input curves of the 1760
dynamic data sets. Then, sequentially each of the five parameters (vb, k1-k4) of the 2-tissue compartment model was varied from 0.1
to 0.9 and tracer activity curves were calculated (60000 curves/parameter). A linear regression function was fitted to these curves. The
comparison of the slope values of the regression function with the corresponding compartment data revealed a primary dependency
on k3, which is associated with the intracellular phosphorylation of FDG. The squared correlation coefficient was high with
r2=0.9716, which refers to 97 % explained variance of the data. k2 and vb had only a minor impact, while k1 and k4 had no impact on
the slope values. The results demonstrate, that k3 has a major impact on the slope values calculated by the linear regression
function. (ajnmmi1206004).
Keywords: FDG, non-compartment model, parametric imaging
Address all correspondence to:
Dr. Ludwig G Strauss, Dr. Leyun Pan, Dr. Caixia Cheng, Dr. Antonia Dimitrakopoulou-Strauss
Medical PET Group-Biological Imaging (E060-1), CCU Nuclear Medicine
German Cancer Research Center, Im Neuenheimer Feld 280
D-69120 Heidelberg, Germany.
Ludwig G Strauss, Phone: +49-6221-42-2500; Fax: +49-6221-42-2476; E-mail: lgs@ads-lgs.de
Leyun Pan, E-mail: l.pan@dkfz.de
Caixia Cheng, E-mail: c.cheng@dkfz.de
Antonia Dimitrakopoulou-Strauss, E-mail: ads@ads-lgs.de
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