TABLE 1

11C-Metoclopramide Outcome Parameters Estimated in Rat Brain in Each Condition Using Logan Plot Analysis and 2-Tissue-Compartment Model

Logan plot2-tissue-compartment model
Conditionnfp (%)VT (mL⋅cm−3) using arterial input functionV’T (mL⋅cm−3) using image-derived input functionK1 (mL⋅cm−3⋅min−1)k2 (min−1)k3 (min−1)k4 (min−1)BPND
A512.0 ± 1.92.28 ± 0.322.46 ± 0.700.23 ± 0.110.35 ± 0.180.22 ± 0.120.09 ± 0.032.40 ± 0.78
B414.8 ± 5.77.80 ± 1.43*8.33 ± 0.91*1.02 ± 0.34*0.66 ± 0.200.34 ± 0.090.06 ± 0.025.44 ± 0.50*
C412.4 ± 3.02.04 ± 0.192.41 ± 0.290.36 ± 0.120.43 ± 0.100.22 ± 0.150.09 ± 0.032.21 ± 1.04
D516.7 ± 7.46.28 ± 0.48,7.13 ± 0.35,0.73 ± 0.110.20 ± 0.06,0.10 ± 0.060.07 ± 0.021.97 ± 0.40
  • * Statistical significance, P < 0.05 for conditions B and C compared with condition A.

  • Statistical significance, P < 0.05 for condition D compared with condition C.

  • Statistical significance, P < 0.05, and P < 0.01 for condition D compared with condition B.

  • Data are shown as mean ± SD in each condition, n is number of animals used in each group, and fP is percentage of free 11C-metoclopramide in plasma. Logan plot analysis was used to estimate total distribution volume using arterial input function (VT) or image-derived input function (V’T). 2-tissue-compartment model was used to estimate 11C-metoclopramide K1, k2, k3, k4, and BPND.