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Abstract #0376

Imaging tumor habitats with PET-MRI HYPERDIrect maps to decode the spatial heterogeneity of malignant gliomas

Gianluca Nocera1,2,3, Nicolo Pecco1,2, Pasquale Anthony Della Rosa2, Paola Scifo4, Marcella Callea5, Ilaria Neri4, Federico Fallanca4, Maria Picchio1,4, Filippo Gagliardi3, Pietro Mortini1,3, Andrea Falini1,2, Michele Bailo3, and Antonella Castellano1,2
1Università Vita-Salute San Raffaele, Milano, Italy, 2Neuroradiology Unit and CERMAC, IRCCS Ospedale San Raffaele, Milano, Italy, 3Department of Neurosurgery and Gamma Knife Radiosurgery, IRCCS Ospedale San Raffaele, Milan, Italy, 4Department of Nuclear Medicine, IRCCS Ospedale San Raffaele, Milan, Italy, 5Pathology Unit, IRCCS Ospedale San Raffaele, Milan, Italy

Synopsis

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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Keywords