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Abstract #0986

Integration of Diffusion Weighted Magnetic Resonance Imaging Data Into a Simple Mathematical Model of Tumor Growth

Nkiruka C. Atuegwu1, Daniel C. Colvin1, Mary E. Loveless1,2, Lei Xu3, John C. Gore1,4, Thomas E. Yankeelov1,4

1Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States; 2Biomedical Engineering, Vanderbilt University, Nashville, TN, United States; 3Biostatistics, Vanderbilt University, Nashville, TN, United States; 4Radiology, Vanderbilt University, Nashville, TN, United States


Sequential diffusion weighted MRI (DW-MRI) data of 13 Fischer rats implanted with 9L tumors were incorporated into a mathematical model of tumor growth and treatment response. 8 rats were treated with the chemotherapy drug BCNU and 5 rats were tumor bearing controls. DW-MRI data at early time points were used to extract the proliferation rates of each tumor and was then used to calculate the number of cells at a later time point. The calculated and experimentally estimated number of cells were then compared.

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