Gavin Hanson1, Prateek Prasanna1, Jay Patel1, Anant Madabhushi1, and Pallavi Tiwari1
Glioblastoma Multiforme (GBM) is very aggressive form of primary brain tumor, and a key part of GBM
pathogenesis is the mass effect of the tumor within the ridge container of the
brain vault. Mass effect is strongly associated with mortality in patients with
GBM. In this work, we seek to quantify the extent of mass effect throughout the brain
volume as manifested on MRI to predict patient survival in GBM patients. We
use a MRI-driven tensor based morphometry approach, combined with
statistical mapping to allow the identification of regions where the
deformation associated with mass effect is correlated with overall survival
after diagnosis.
