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. Author manuscript; available in PMC: 2013 Mar 1.
Published in final edited form as: Ultrasound Med Biol. 2012 Mar;38(3):492–503. doi: 10.1016/j.ultrasmedbio.2011.12.007

Figure 9.

Figure 9

Fitted parameters of the TIC data using the one-compartment pharmacokinetic model. The parameters were determined using least-squares regression. (A) C0 is proportional to the signal amplitude. No significant difference was measured across microbubble samples (P = 0.23 for ELA-control vs. ELA-RGD, P = 0.57 for ELA-control vs. BLA-control and P = 0.85 for BLA-RGD vs. BLA-control). (B) k1 is a measure of the influx rate of the microbubbles into the kidney. No significant difference was measured across the samples (P = 0.95 for ELA-control vs. ELA-RGD, P = 0.75 for ELA-control vs. BLA-control and P = 0.69 for BLA-RGD vs. BLA-control). (C) k2 is a measure of the decay rate of the microbubble signal. ELA-RGD showed significantly more rapid contrast elimination when compared to BLA-RGD (P < 0.05), ELA-control (P < 0.001) or BLA-control (P < 0.001).