We aimed at investigating the methods based on coupling of of amino-acid metabolism (18F-DOPA-PET) measurements and cerebral blood flow (CBF) maps to evaluate the diagnostic performance of PET/MRI in glioma imaging. Tumor isocontour maps and T-maps were created using SPM and metabolic/perfusion abnormalities were evaluated with the asymmetry index z-score. SPM map analysis of significant-size clusters and semi-quantitative evaluation were performed and compared to gold standard diagnosis. Both the tumor isocontour maps and T-maps showed the highest specificity for ASL and sensitivity for 18F-DOPA analysis, allowing high diagnostic performance in differentiating between progression and radionecrosis particularly in high-grade treated gliomas.
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