Abstract
Purpose
This study assessed the pharmacokinetics of the hypoxia PET tracer, [18F]fluoroazomycin arabinoside ([18F]FAZA), in pancreatic cancer (PCa) patients and determined the optimal kinetic parameters to distinguish cancerous from normal pancreatic tissue.
Method
Twenty patients with pancreatic ductal adenocarcinoma underwent dynamic [ 18 F]FAZA scans. The tissue time activity curve (TAC) was analyzed using graphical methods to determine reversibility of tracer binding and with standard compartment (S2TC) model and flow modified two tissue compartment (F2TC) model, developed to incorporate transit time of tracer through the blood vessel, to estimate the kinetic parameters. The optimal parameter set to distinguish hypoxic tumors from normal tissues was determined using logistic regression.
Results
Both graphical and kinetic model analysis indicated that tracer was reversibly bound. According to the Akaike Information Criteria, the F2TC model fitted the tumor TAC better than the S2TC model. Total distribution volume, V T , estimated by the F2TC model for both tumor and normal pancreatic tissue was not significant but that estimated by the S2TC model was significantly different from Logan graphical analysis. The extravascular distribution volume ( DV ) and tracer dissociation rate constant ( k 4 ) can classify hypoxic PCa from normal tissue with sensitivity of 95% and negative predictive value of 89% (P<0.01).
Conclusions
Kinetic analysis of dynamic [ 18 F]FAZA PET can distinguish PCa from normal tissue with high sensitivity. The reversibility of [ 18 F]FAZA binding in hypoxic cells could be due to glutathionylation of the nitroreductase reduced products and their subsequent efflux from same cells via the ATP mediated multidrug resistant protein (MRP-1) efflux pump.