Journal article

Spatial and quantitative mapping of glycolysis and hypoxia in glioblastoma as a predictor of radiotherapy response and sites of relapse

Antoine Leimgruber, Kevin Hickson, Sze Ting Lee, Hui K Gan, Lawrence M Cher, John Sachinidis, Graeme J O'Keefe, Andrew M Scott

European Journal of Nuclear Medicine and Molecular Imaging | SPRINGER | Published : 2020

Abstract

INTRODUCTION: Tumor hypoxia is a centerpiece of disease progression mechanisms such as neoangiogenesis or aggressive hypoxia-resistant malignant cells selection that impacts on radiotherapy strategies. Early identification of regions at risk for recurrence and prognostic-based classification of patients is a necessity to devise tailored therapeutic strategies. We developed an image-based algorithm to spatially map areas of aerobic and anaerobic glycolysis (Glyoxia). METHODS: 18F-FDG and 18F-FMISO PET studies were used in the algorithm to produce DICOM-co-registered representations and maximum intensity projections combined with quantitative analysis of hypoxic volume (HV), hypoxic glycolytic..

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