Journal Article

FZJ-2013-05433

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Comparison of $^{18}$F-FET PET and perfusion weighted MR imaging: a PET-MR imaging hybrid study in patients with brain tumors.

Filss, C. (Corresponding author)FZJ* ; Galldiks, N.FZJ* ; Stoffels, G.FZJ* ; Sabel, M. ; Wittsack, H. J. ; Turowski, B. ; Antoch, G. ; Zhang, K.FZJ* ; Fink, G. R.FZJ* ; Coenen, H. H.FZJ* ; Shah, N. J.FZJ* ; Herzog, H.FZJ* ; Langen, K.-J.FZJ*

2014
SNM Reston, Va.

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Please use a persistent id in citations: doi:10.2967/jnumed.113.129007

Abstract: PET using O-(2-$^{18}$F-fluoroethyl)-L-tyrosine ($^{18}$F-FET) provides important diagnostic information in addition to that from conventional MR imaging on tumor extent and activity of cerebral gliomas. Recent studies suggest that perfusion-weighted MR imaging (PWI), especially maps of regional cerebral blood volume (rCBV), may provide similar diagnostic information. In this study, we directly compared $^{18}$F-FET PET and PWI in patients with brain tumors. Methods: Fifty-six patients with gliomas were investigated using static $^{18}$F-FET PET and PWI. For comparison, 8 patients with meningiomas were included.We generated a set of tumor and reference volumes of interest (VOIs) based on morphologic MR imaging and transferred these VOIs to the corresponding $^{18}$F-FET PET scans and PWI maps. From these VOIs, tumor-to-brain ratios (TBR) were calculated, and normalized histograms were generated for $^{18}$F-FET PET and rCBV maps. Furthermore, in rCBV maps and in $^{18}$F-FET PET scans, tumor volumes, their spatial congruence, and the distance between the local hot spots were assessed. Results: For patients with glioma, TBR was significantly higher in $^{18}$F-FET PET than in rCBV maps (TBR, 2.28 ± 0.99 vs. 1.62 ± 1.13; P < 0.001). Histogram analysis of the VOIs revealed that $^{18}$F-FET scans could clearly separate tumor from background. In contrast, deriving this information from rCBV maps was difficult. Tumor volumes were significantly larger in $^{18}$F-FET PET than in rCBV maps (tumor volume, 24.3 ± 26.5 mL vs. 8.9 ± 13.9 mL; P < 0.001). Accordingly, spatial overlap of both imaging parameters was poor (congruence, 11.0%), and mean distance between the local hot spots was 25.4 ± 16.1 mm. In meningioma patients, TBR was higher in rCBV maps than in $^{18}$F-FET PET (TBR, 5.33 ± 2.63 vs. 2.37 ± 0.32; P < 0.001) whereas tumor volumes were comparable. Conclusion: In patients with cerebral glioma, tumor imaging with $^{18}$F-FET PET and rCBV yields different information. $^{18}$F-FET PET shows considerably higher TBRs and larger tumor volumes than rCBV maps. The spatial congruence of both parameters is poor. The locations of the local hot spots differ considerably. Taken together, our data show that metabolically active tumor tissue of gliomas as depicted by amino acid PET is not reflected by rCBV as measured with PWI.

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Contributing Institute(s):

1. Kognitive Neurowissenschaften (INM-3)
2. Physik der Medizinischen Bildgebung (INM-4)
3. Nuklearchemie (INM-5)
4. JARA-BRAIN (JARA-BRAIN)

Research Program(s):

1. 333 - Pathophysiological Mechanisms of Neurological and Psychiatric Diseases (POF2-333) (POF2-333)
2. 332 - Imaging the Living Brain (POF2-332) (POF2-332)
3. 89573 - Neuroimaging (POF2-89573) (POF2-89573)

Appears in the scientific report 2014

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Database coverage:
; BIOSIS Previews ; Current Contents - Clinical Medicine ; Current Contents - Life Sciences ; JCR ; NCBI Molecular Biology Database ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection

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