Rationale and objectives-Dynamic positron-emission tomography (PET) imaging of the radiotracer 2-deoxy-2-[18F]fluoro-D-glucose ( 18 F-FDG) is increasingly used to assess metabolic activity of lung inflammatory cells. To analyze the kinetics of 18 F-FDG in brain and tumor tissues the 'Sokoloff' model has been typically used. In the lungs, however, a high blood-to-parenchymal volume ratio and 18 F-FDG distribution in edematous injured tissue could require a modified model to properly describe 18 F-FDG kinetics.Material and Methods-We developed and validated a new model of lung 18 F-FDG kinetics that includes an extravascular/non-cellular compartment in addition to blood and 18 F-FDG precursor pools for phosphorylation. Parameters obtained from this model were compared with those obtained using the Sokoloff model. We analyzed dynamic PET data from 15 sheep with smoke or ventilatorinduced lung injury.Results-In the majority of injured lungs, the new model provided better fit to the data than the Sokoloff model. Rate of pulmonary 18 F-FDG net uptake and distribution volume in the precursor pool for phosphorylation correlated between the two models (R 2 = 0.98, 0.78), but were overestimated with the Sokoloff model by 17% (p < 0.05) and 16% (p < 0.0005) as compared to the new one. The range of the extravascular/non-cellular 18 F-FDG distribution volumes was up to 13% and 49% of lung tissue volume in smoke and ventilator-induced lung injury, respectively.
Conclusion-The lung-specific model predicted 18 F-FDG kinetics during acute lung injury more accurately than the Sokoloff model and may provide new insights in the pathophysiology of lung injury.