| Title |
Early static 18F-FET-PET scans have a higher accuracy for glioma grading than the standard 20–40 min scans
|
|---|---|
| Published in |
European Journal of Nuclear Medicine and Molecular Imaging, December 2015
|
| DOI | 10.1007/s00259-015-3276-2 |
| Pubmed ID | |
| Authors |
Nathalie L. Albert, Isabel Winkelmann, Bogdana Suchorska, Vera Wenter, Christine Schmid-Tannwald, Erik Mille, Andrei Todica, Matthias Brendel, Jörg-Christian Tonn, Peter Bartenstein, Christian la Fougère |
| Abstract |
Current guidelines for glioma imaging by positron emission tomography (PET) using the amino acid analogue O-(2-[(18)F]fluoroethyl)-L-tyrosine ((18)F-FET) recommend image acquisition from 20-40 min post injection (p.i.). The maximal tumour-to-background evaluation (TBRmax) obtained in these summation images does not enable reliable differentiation between low and high grade glioma (LGG and HGG), which, however, can be achieved by dynamic (18)F-FET-PET. We investigated the accuracy of tumour grading using TBRmax values at different earlier time points after tracer injection. Three hundred and fourteen patients with histologically proven primary diagnosis of glioma (131 LGG, 183 HGG) who had undergone 40-min dynamic (18)F-FET-PET scans were retrospectively evaluated. TBRmax was assessed in the standard 20-40 min summation images, as well as in summation images from 0-10 min, 5-15 min, 5-20 min, and 15-30 min p.i., and kinetic analysis was performed. TBRmax values and kinetic analysis were correlated with histological classification. ROC analyses were performed for each time frame and sensitivity, specificity, and accuracy were assessed. TBRmax values in the earlier summation images were significantly better for tumour grading (P < 0.001) when compared to standard 20-40 min scans, with best results for the early 5-15 min scan. This was due to higher TBRmax in the HGG (3.9 vs. 3.3; p < 0.001), while TBRmax remained nearly stable in the LGG (2.2 vs. 2.1). Overall, accuracy increased from 70 % in the 20-40 min analysis to 77 % in the 5-15 min images, but did not reach the accuracy of dynamic analysis (80 %). Early TBRmax assessment (5-15 min p.i.) is more accurate for the differentiation between LGG and HGG than the standard static scan (20-40 min p.i.) mainly caused by the characteristic high (18)F-FET uptake of HGG in the initial phase. Therefore, when dynamic (18)F-FET-PET cannot be performed, early TBRmax assessment can be considered as an alternative for tumour grading. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 25% |
| Other | 6 | 14% |
| Student > Ph. D. Student | 6 | 14% |
| Student > Master | 5 | 11% |
| Student > Doctoral Student | 3 | 7% |
| Other | 4 | 9% |
| Unknown | 9 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 45% |
| Physics and Astronomy | 3 | 7% |
| Psychology | 2 | 5% |
| Chemistry | 2 | 5% |
| Mathematics | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 12 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 December 2015.
All research outputs
#19,214,418
of 23,806,312 outputs
Outputs from European Journal of Nuclear Medicine and Molecular Imaging
#2,305
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Outputs of similar age
#286,635
of 394,196 outputs
Outputs of similar age from European Journal of Nuclear Medicine and Molecular Imaging
#44
of 59 outputs
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