Abstract #0193

DCE MRI-Based Computational Modeling of Interstitial Fluid Pressure and Velocity in Head and Neck Cancer: Initial Analysis

Eve LoCastro¹, Yonggang Lu², Ramesh Paudyal¹, Yousef Mazaheri^1,3, Vaios Hatzoglou³, Amaresha K. Shridhar¹, Alan Ho⁴, Nancy Lee⁵, Joseph Deasy¹, and Amita Shukla-Dave^1,3

¹Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, ²Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, ³Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States, ⁴Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States, ⁵Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, United States

We applied computational fluid modeling to head-and-neck cancer patients' DCE-MRI data using permeability maps from extended Tofts' model and tumor geometry from imaging. Interstitial fluid pressure (IFP) maps generated from computational fluid modeling depict heterogeneous distribution of elevated IFP and velocity in tumor tissue. We found significant correlation between tumor volume and IFP.

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