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Abstract #2654

Glioblastoma growth and invasion kinetics correlate with MRI ADC metrics

Pamela R Jackson1, Andrea Hawkins-Daarud1, Joshua Jacobs2, Timothy Ung3, Hani Malone3, Joo Kim4, Olya Stringfield5, Lauren DeGirolamo1, Emilio Benbassat6, Anthony Rosenberg6, Joseph Crisman6, Robert Gatenby4, Savannah Partridge7, Peter Canoll3, and Kristin Swanson1

1Neurological Surgery, Mayo Clinic, Scottsdale, AZ, United States, 2Mayo Clinic, Rochester, MN, United States, 3Pathology, Columbia University, New York City, NY, United States, 4Diagnostic Imaging and Interventional Radiology, H. Lee Moffitt Cancer Center, Tampa, FL, United States, 5Cancer Imaging and Metabolism, H. Lee Moffitt Cancer Center, Tampa, FL, United States, 6Chicago, IL, United States, 7Radiology, Seattle Cancer Care Alliance, Seattle, WA, United States

We hypothesize that tumors with different invasiveness indices (D/ρ), as predicted by the Proliferation-Invasion (PI) mathematical model, will exhibit differences in ADC. Segmented tumor volumes were determined on T1Gd and FLAIR MRIs for six GBM patients. The ROIs were used to mask registered ADC maps and parameterize the PI model for calculating D/ρ. Lower quartile ADC values within the FLAIR and FLAIR penumbra ROIs were positively correlated with D/ρ (p=0.041 and p=0.026, respectively). ADC skewness within the T1Gd ROI negatively correlated with D/ρ (p=0.021). Understanding the relationship between D/ρ and ADC could be important for targeting brain tumor therapies.

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