Abstract
Hypoxia plays an important role for the prognosis and therapy response of cancer. Thus, hypoxia imaging would be a valuable tool for pre-therapeutic assessment of tumor malignancy. However, there is no standard validated technique for clinical application available yet. Therefore, we performed a study in 12 patients with high-grade glioma, where we directly compared the two currently most promising techniques, namely the MR-based relative oxygen extraction fraction (MR-rOEF) and the PET hypoxia marker H-1-(3-[18F]-fluoro-2-hydroxypropyl)-2-nitroimidazole ([18F]-FMISO). MR-rOEF was determined from separate measurements of T2, T2* and relative cerebral blood volume (rCBV) employing a multi-parametric approach for quantification of the blood-oxygenation-level-dependent (BOLD) effect. With respect to [18F]-FMISO-PET, besides the commonly used late uptake between 120 and 130 min ([18F]-FMISO120–130 min), we also analyzed the hypoxia specific uptake rate [18F]-FMISO-k3, as obtained by pharmacokinetic modeling of dynamic uptake data. Since pharmacokinetic modeling of partially acquired dynamic [18F]-FMISO data was sensitive to a low signal-to-noise-ratio, analysis was restricted to high-uptake tumor regions. Individual spatial analyses of deoxygenation and hypoxia-related parameter maps revealed that high MR-rOEF values clustered in (edematous) peritumoral tissue, while areas with high [18F]-FMISO120–130 min concentrated in and around active tumor with disrupted blood–brain barrier, i.e. contrast enhancement in T1-weighted MRI. Volume-of-interest-based correlations between MR-rOEF and [18F]-FMISO120–130 min as well as [18F]-FMISO-k3, and voxel-wise analyses in individual patients, yielded limited correlations, supporting the notion that [18F]-FMISO uptake, even after 2 h, might still be influenced by perfusion while [18F]-FMISO-k3 was severely hampered by noise. According to these results, vascular deoxygenation, as measured by MR-rOEF, and severe tissue hypoxia, as measured by [18F]-FMISO, show a poor spatial correspondence. Overall, the two methods appear to rather provide complementary than redundant information about high-grade glioma biology.
| Original language | English |
|---|---|
| Article number | e3775 |
| Journal | NMR in Biomedicine |
| Volume | 30 |
| Issue number | 11 |
| DOIs | |
| State | Published - Nov 2017 |
Keywords
- MR-rOEF
- [F]-FMISO
- glioblastoma
- hypoxia
- pharmacokinetic modeling
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