Feasibility of multi-parametric PET and MRI for prediction of tumour recurrence in patients with glioblastoma.

Multi-parametric imaging before radiotherapy is feasible and significant differences in imaging parameters between recurring and non-recurring voxels were observed. Combining parameters in a logistic regression model enabled patient-specific maps of recurrence probability, where F-FET proved to be most important. This strategy could enable risk-adapted radiotherapy planning.