Abstract
INTRODUCTION: Dietary conditions may affect liver [(18)F]FDG kinetics due to arterial and portal vein (PV) input. The purpose of this study was to evaluate kinetic models of [(18)F]FDG metabolism under a wide range of dietary interventions taking into account variations in arterial (HA) and portal vein (PV) input. METHODS: The study consisted of three groups of rats maintained under different diet interventions: 12 h fasted, 24 h fasted and those fed with high fructose diet. [(15)O]H₂O PET imaging was used to characterize liver flow contribution from HA and PV to the liver's dual input function (DIF). [(18)F]FDG PET imaging was used to characterize liver metabolism. Differences in [(18)F]FDG kinetics in HA, PV and liver under different diet interventions were investigated. An arterial to PV Transfer Function (TF) was optimized in all three dietary states to noninvasively estimate PV activity. Finally, two compartment 3-parameter (2C3P), two compartment 4-parameter (2C4P), two compartment 5-parameter (2C5P), and three compartment 5-parameter (3C5P) models were evaluated and compared to describe the kinetics of [(18)F]FDG in the liver across diet interventions. Sensitivity of the compartmental models to ratios of HA to PV flow fractions was further investigated. RESULTS: Differences were found in HA and PV [(18)F]FDG kinetics across 12h fasted, 24h fasted and high fructose fed diet interventions. A two exponential TF model was able to estimate portal activity in all the three diet interventions. Statistical analysis suggests that a 2C3P model configuration was adequate to describe the kinetics of [(18)F]FDG in the liver under wide ranging dietary interventions. The net influx of [(18)F]FDG was lowest in the 12h fasted group, followed by 24 h fasted group, and high fructose diet. CONCLUSIONS: A TF was optimized to non-invasively estimate PV time activity curve in different dietary states. Several kinetic models were assessed and a 2C3P model was sufficient to describe [(18)F]FDG liver kinetics despite differences in HA and PV kinetics across wide ranging dietary interventions. The observations have broader implications for the quantification of liver metabolism in metabolic disorders and cancer, among others.