Keywords: Tumors (Pre-Treatment), Radiomics, Malignant gliomas, Habitat imaging
Motivation: Malignant gliomas are characterized by considerable intra-tumor heterogeneity directly related to treatment failure. Habitat imaging allows to visualize in vivo such heterogeneity.
Goal(s): Investigating a novel approach based on 3T PET/MRI acquisitions for assessing HYpoxia, PErfusion, DIffusion, and methionine-PET for tissue metabolism in malignant gliomas.
Approach: Quantitative data from PET/MRI are combined in a unique HYPERDIrect map to identify discrete radiomic clusters or `habitats', possibly reflecting diverse genetic and biological features, to be proven by image-guided tissue sampling.
Results: Preliminary analysis showed high habitat imaging reproducibility and a reliable correlation between the expected microenvironment of the different habitats and the actual histopathological characteristics.
Impact: The HYPERDIrect map may represent a tool for decoding pattern of glioma heterogeneity and a new biomarker for stratifying prognosis and selecting patients for personalized approaches.
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