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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