Combination of MRI and dynamic FET PET for initial glioma grading.
Details
Serval ID
serval:BIB_A33E43683C02
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Combination of MRI and dynamic FET PET for initial glioma grading.
Journal
Nuklearmedizin. Nuclear medicine
ISSN
0029-5566 (Print)
ISSN-L
0029-5566
Publication state
Published
Issued date
06/08/2014
Peer-reviewed
Oui
Volume
53
Number
4
Pages
155-161
Language
english
Notes
Publication types: Comparative Study ; Journal Article ; Research Support, Non-U.S. Gov't
Abstract
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.
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.
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).
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.
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.
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).
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.
Keywords
Adult, Brain Neoplasms/pathology, Female, Glioma/pathology, Humans, Image Enhancement/methods, Magnetic Resonance Imaging/methods, Male, Multimodal Imaging/methods, Neoplasm Grading, Observer Variation, Positron-Emission Tomography/methods, Radiopharmaceuticals, Reproducibility of Results, Sensitivity and Specificity, Tyrosine/analogs & derivatives, 18F-fluoro-ethyl-tyrosine, ADC histogram, MRI, glioma, grading
Pubmed
Web of science
Create date
19/09/2014 18:59
Last modification date
20/08/2019 16:08
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