Dunet, V; Maeder, P; Nicod-Lalonde, M; Lhermitte, B; Pollo, Claudio; Bloch, J; Stupp, R; Meuli, R; Prior, J O (2014). Combination of MRI and dynamic FET PET for initial glioma grading. Nuklearmedizin / Nuclear medicine, 53(4), pp. 155-161. Schattauer 10.3413/Nukmed-0650-14-03
Full text not available from this repository.AIM
MRI and PET with 18F-fluoro-ethyl-tyrosine (FET) have been increasingly used to evaluate patients with gliomas. Our purpose was to assess the additive value of MR spectroscopy (MRS), diffusion imaging and dynamic FET-PET for glioma grading.
PATIENTS, METHODS
38 patients (42 ± 15 aged, F/M: 0.46) with untreated histologically proven brain gliomas were included. All underwent conventional MRI, MRS, diffusion sequences, and FET-PET within 3±4 weeks. Performances of tumour FET time-activity-curve, early-to-middle SUVmax ratio, choline / creatine ratio and ADC histogram distribution pattern for gliomas grading were assessed, as compared to histology. Combination of these parameters and respective odds were also evaluated.
RESULTS
Tumour time-activity-curve reached the best accuracy (67%) when taken alone to distinguish between low and high-grade gliomas, followed by ADC histogram analysis (65%). Combination of time-activity-curve and ADC histogram analysis improved the sensitivity from 67% to 86% and the specificity from 63-67% to 100% (p < 0.008). On multivariate logistic regression analysis, negative slope of the tumour FET time-activity-curve however remains the best predictor of high-grade glioma (odds 7.6, SE 6.8, p = 0.022).
CONCLUSION
Combination of dynamic FET-PET and diffusion MRI reached good performance for gliomas grading. The use of FET-PET/MR may be highly relevant in the initial assessment of primary brain tumours.
Item Type: |
Journal Article (Original Article) |
|---|---|
Division/Institute: |
04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Neurosurgery |
UniBE Contributor: |
Pollo, Claudio |
Subjects: |
600 Technology > 610 Medicine & health |
ISSN: |
0029-5566 |
Publisher: |
Schattauer |
Language: |
English |
Submitter: |
Nicole Söll |
Date Deposited: |
16 Mar 2015 10:46 |
Last Modified: |
05 Dec 2022 14:42 |
Publisher DOI: |
10.3413/Nukmed-0650-14-03 |
PubMed ID: |
24737132 |
Uncontrolled Keywords: |
18F-fluoro-ethyl-tyrosine, ADC histogram, MRI glioma grading |
URI: |
https://boris.unibe.ch/id/eprint/64545 |
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