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Conventional MRI plays a key role in the management of patients with high-grade glioma, but multiparametric MRI and PET tracers could provide further information to better characterize tumor metabolism and heterogeneity by identifying regions having a high risk of recurrence. In this study, we focused on proliferation, hypervascularization, and hypoxia, all factors considered indicative of poor prognosis. They were assessed by measuring uptake of 18 F-3'-deoxy-3'- 18 F-fluorothymidine ( 18 F-FLT), relative cerebral blood volume (rCBV) maps, and uptake of 18 F-fluoromisonidazole ( 18 F-FMISO), respectively. For each modality, the volumes and high-uptake subvolumes (hot spots) were semiautomatically segmented and compared with the contrast enhancement (CE) volume on T1-weighted gadolinium-enhanced (T1w-Gd) images, commonly used in the management of patients with glioblastoma. Methods: Dynamic susceptibility contrast-enhanced MRI (31 patients), 18 F-FLT PET (20 patients), or 18 F-FMISO PET (20 patients), for a total of 31 patients, was performed on preoperative glioblastoma patients. Volumes and hot spots were segmented on SUV maps for 18 F-FLT PET (using the fuzzy locally adaptive bayesian algorithm) and 18 F-FMISO PET (using a mean contralateral image + 3.3 SDs) and on rCBV maps (using a mean contralateral image + 1.96 SDs) for dynamic susceptibility contrast-enhanced MRI and overlaid on T1w-Gd images. For each modality, the percentages of the peripheral volumes and the peripheral hot spots outside the CE volume were calculated. Results: All tumors showed highly proliferated, hypervascularized, and hypoxic regions. The images also showed pronounced heterogeneity of both tracers regarding their uptake and rCBV maps, within each individual patient. Overlaid volumes on T1w-Gd images showed that some proliferative, hypervascularized, and hypoxic regions extended beyond the CE volume but with marked differences between patients. The ranges of peripheral volume outside the CE volume were 1.6%-155.5%, 1.5%-89.5%, and 3.1%-78.0% for 18 F-FLT, rCBV, and 18 F-FMISO, respectively. All patients had hyperproliferative hot spots outside the CE volume, whereas hypervascularized and hypoxic hot spots were detected mainly within the enhancing region. Conclusion: Spatial analysis of multiparametric maps with segmented volumes and hot spots provides valuable information to optimize the management and treatment of patients with glioblastoma., (© 2021 by the Society of Nuclear Medicine and Molecular Imaging.)

Glioblastoma multiforme (GBM) is the most common and aggressive primary brain tumor. This aggressiveness is in part attributed to the closely interrelated phenomena tumor hypoxia and angiogenesis, although few in vivo data exist in human brain tumors. This work aimed to study hypoxia and angiogenesis, in vivo and in situ, in patients admitted with GBM using multimodal imaging. Methods: Twenty-three GBM patients were assessed by 18 F-fluoromisonidazole ( 18 F-FMISO) PET and conventional and perfusion MRI before surgery. The level and location of hypoxia ( 18 F-FMISO uptake, evaluated by tumor-to-blood [T/B] ratio), vascularization (cerebral blood volume [CBV]), and vascular permeability (contrast enhancement after gadolinium injection) were analyzed. The spatial relationship between tumor hypoxia and angiogenesis was assessed by an overlap analysis of the volume of 18 F-FMISO uptake and the volumes of the high CBV regions and the contrast-enhancement regions. Results: A significant correlation was found between hypoxia and hypervascularization, especially for their maximum values (volume of maximal tumor hypoxia vs. relative CBV: r = 0.61, P = 0.002) and their volumes (hypoxia vs. hypervascularization: r = 0.91, P < 0.001). A large proportion of the high CBVs collocated with hypoxia (81.3%) and with contrast enhancement (46.5%). Conclusion: These results support the hypothesis of a tight association between hypoxia and angiogenesis. Our results suggest that there is insufficient tumor oxygenation in human GBM, despite increased tumor vascularization., (© 2017 by the Society of Nuclear Medicine and Molecular Imaging.)