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Liver Kinetics of Glucose Analogs Measured in Pigs by PET: Importance of Dual-Input Blood Sampling

PET-Center and Department of Medicine V, Aarhus University Hospital, and Institute for Experimental Clinical Research, Aarhus University, Aarhus, Denmark; and Department of Mathematics, University of Queensland, Brisbane, Australia

View larger version (20K): [in a new window]   FIGURE 1. Typical blood TACs (MG injection; pig 6) from HA, PV, and flow-weighted dual-input function. First 6 min are shown, when differences of shapes were most pronounced. After a few minutes, all three curves were similar. Lines are linear interpolations between data points.

View larger version (19K): [in a new window]   FIGURE 2. Typical tissue TACs after 500 MBq MG and 300 MBq FDG bolus injections (pig 6). Because different amounts of MG and FDG were administered, TACs are normalized (same peak height) for comparison. Lines are linear interpolations between data points.

View larger version (26K): [in a new window]   FIGURE 3. Sensitivity of model solution M'(t) to changes in FDG model parameters as function of time using dual-input function. Lines are linear interpolations. Model is most sensitive to K1, k2, and V0, which primarily affect model solution at early time points. All sensitivity functions in this figure have been normalized to emphasize shape. Positive sensitivity means that increase in parameter will increase model prediction.

View larger version (18K): [in a new window]   FIGURE 4. MG Gjedde–Patlak plots using either arterial input or dual input (pig 2). Straight-line fit using dual-input data is shown as black line; early data points are excluded. Parameter estimates are K = 0.0004 mL/min/mL and V = 0.81 mL/mL.

View larger version (19K): [in a new window]   FIGURE 5. FDG Gjedde–Patlak plots using either arterial input or dual input (pig 6). Straight-line fit using dual-input data is shown as black line; early data points are excluded. Parameter estimates are K = 0.0031 mL/min/mL and V = 0.92 mL/mL.