Modeling \(^{18}F-FDG\) Kinetics during Acute Lung Injury: Experimental Data and Estimation Errors

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Modeling \(^{18}F-FDG\) Kinetics during Acute Lung Injury: Experimental Data and Estimation Errors

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Title: Modeling \(^{18}F-FDG\) Kinetics during Acute Lung Injury: Experimental Data and Estimation Errors
Author: Dittrich, A. Susanne; Winkler, Tilo; Wellman, Tyler James; de Prost, Nicolas; Musch, Guido; Harris, Robert Scott; Vidal Melo, Marcos Francisco

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Citation: Dittrich, A. Susanne, Tilo Winkler, Tyler Wellman, Nicolas de Prost, Guido Musch, R. Scott Harris, and Marcos F. Vidal Melo. 2012. Modeling \(^{18}F-FDG\) kinetics during acute lung injury: experimental data and estimation errors. PLoS ONE 7(10): e47588.
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Abstract: Background: There is increasing interest in Positron Emission Tomography (PET) of 2-deoxy-2-[18F]flouro-D-glucose (\(^{18}F-FDG\)) to evaluate pulmonary inflammation during acute lung injury (ALI). We assessed the effect of extra-vascular lung water on estimates of \(^{18}F-FDG\)-kinetics parameters in experimental and simulated data using the Patlak and Sokoloff methods, and our recently proposed four-compartment model. Methodology/Principal Findings Eleven sheep underwent unilateral lung lavage and 4 h mechanical ventilation. Five sheep received intravenous endotoxin (10 ng/kg/min). Dynamic \(^{18}F-FDG\) PET was performed at the end of the 4 h period. \(^{18}F-FDG\) net uptake rate (Ki), phosphorylation rate (k3), and volume of distribution (Fe) were estimated in three isogravitational regions for each method. Simulations of normal and ALI \(^{18}F-FDG\)-kinetics were conducted to study the dependence of estimated parameters on the transport rate constants to (k5) and from (k6) the extra-vascular extra-cellular compartment. The four-compartment model described 85.7% of the studied \(^{18}F-FDG\)-kinetics better than the Sokoloff model. Relative to the four-compartment model the Sokoloff model exhibited a consistent positive bias in Ki (3.32 [1.30–5.65] 10−4/min, p<0.001) and showed inaccurate estimates of the parameters composing Ki (k3 and Fe), even when Ki was similar for those methods. In simulations, errors in estimates of Ki due to the extra-vascular extra-cellular compartment depended on both k5 and k5/k6, with errors for the Patlak and Sokoloff methods of 0.02 [−0.01–0.18] and 0.40 [0.18–0.60] 10−3/min for normal lungs and of −0.47 [−0.89–0.72] and 2.35 [0.85–3.68] 10−3/min in ALI. Conclusions/Significance: \(^{18}F-FDG\) accumulation in lung extra-vascular fluid, which is commonly increased during lung injury, can result in substantial estimation errors using the traditional Patlak and Sokoloff methods. These errors depend on the extra-vascular extra-cellular compartment volume and its transport rates with other compartments. The four-compartment model provides more accurate quantification of \(^{18}F-FDG\)-kinetics than those methods in the presence of increased extra-vascular fluid.
Published Version: doi:10.1371/journal.pone.0047588
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