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Abstract #2209

Logan Plot Estimates of Tracer Distribution Volume from Dynamic Contrast Enhanced MRI Data and Tumor Cellularity in a Rat Model of Cerebral Glioma at 7T

Madhava P. Aryal1, 2, Tavarekere N. Nagaraja2, Kelly A. Keenan2, Hassan Bagher-Ebadian2, Swayamprava Panda2, Stephen Brown2, James R. Ewing, 12

1Physics, Oakland University, Rochester, MI, United States; 2Henry Ford Hospital, Detroit, MI, United States

In this study, Logan plot graphical approach was applied to dynamic contrast enhanced MRI(DCE-MRI) data to estimate the distribution volume(VD) in a rat model of cerebral glioma. Test-retest VD values for 18 animal studies were quite stable. The test group mean of VD (7.94%) moved downward to (7.21%) in the retest group, but not significantly (p=0.21). The combined sample mean(standard deviation) of VD was; (7.582.33)%. Also, the estimated VD showed a strong correlation to corresponding Patlak plot estimate (r=0.93, p<0.001). The mean tumor cellularity count was 2441 850. Tumor cellularity and VD were highly correlated (r =0.76, p < 0.01). Thus, the Logan plot graphical approach can be a useful tool on DCE-MRI also for the diagnosis and evaluation of therapeutic response in tumors.