Early static super(18)F-FET-PET scans have a higher accuracy for glioma grading than the standard 20-40 min scans

Current guidelines for glioma imaging by positron emission tomography (PET) using the amino acid analogue O-(2-[ super(18)F]fluoroethyl)- L-tyrosine ( super(18)F-FET) recommend image acquisition from 20-40 min post injection (p.i.). The maximal tumour-to-background evaluation (TBR sub(max)) obtained...

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Veröffentlicht in:European journal of nuclear medicine and molecular imaging 2016-06, Vol.43 (6), p.1105-1114
Hauptverfasser: Albert, Nathalie L, Winkelmann, Isabel, Suchorska, Bogdana, Wenter, Vera, Schmid-Tannwald, Christine, Mille, Erik, Todica, Andrei, Brendel, Matthias, Tonn, Jorg-Christian, Bartenstein, Peter, Fougere, Christian
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container_title European journal of nuclear medicine and molecular imaging
container_volume 43
creator Albert, Nathalie L
Winkelmann, Isabel
Suchorska, Bogdana
Wenter, Vera
Schmid-Tannwald, Christine
Mille, Erik
Todica, Andrei
Brendel, Matthias
Tonn, Jorg-Christian
Bartenstein, Peter
Fougere, Christian
description Current guidelines for glioma imaging by positron emission tomography (PET) using the amino acid analogue O-(2-[ super(18)F]fluoroethyl)- L-tyrosine ( super(18)F-FET) recommend image acquisition from 20-40 min post injection (p.i.). The maximal tumour-to-background evaluation (TBR sub(max)) 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 super(18)F-FET-PET. We investigated the accuracy of tumour grading using TBR sub(max) 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 super(18)F-FET-PET scans were retrospectively evaluated. TBR sub(max) 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. TBR sub(max) values and kinetic analysis were correlated with histological classification. ROC analyses were performed for each time frame and sensitivity, specificity, and accuracy were assessed. TBR sub(max) values in the earlier summation images were significantly better for tumour grading (P
doi_str_mv 10.1007/s00259-015-3276-2
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The maximal tumour-to-background evaluation (TBR sub(max)) 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 super(18)F-FET-PET. We investigated the accuracy of tumour grading using TBR sub(max) 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 super(18)F-FET-PET scans were retrospectively evaluated. TBR sub(max) 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. TBR sub(max) values and kinetic analysis were correlated with histological classification. ROC analyses were performed for each time frame and sensitivity, specificity, and accuracy were assessed. TBR sub(max) values in the earlier summation images were significantly better for tumour grading (P&lt;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 TBR sub(max) in the HGG (3.9 vs. 3.3; p&lt;0.001), while TBR sub(max) 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 TBR sub(max) 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 super(18)F-FET uptake of HGG in the initial phase. 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The maximal tumour-to-background evaluation (TBR sub(max)) 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 super(18)F-FET-PET. We investigated the accuracy of tumour grading using TBR sub(max) 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 super(18)F-FET-PET scans were retrospectively evaluated. TBR sub(max) 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. TBR sub(max) values and kinetic analysis were correlated with histological classification. ROC analyses were performed for each time frame and sensitivity, specificity, and accuracy were assessed. 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The maximal tumour-to-background evaluation (TBR sub(max)) 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 super(18)F-FET-PET. We investigated the accuracy of tumour grading using TBR sub(max) 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 super(18)F-FET-PET scans were retrospectively evaluated. TBR sub(max) 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. TBR sub(max) values and kinetic analysis were correlated with histological classification. ROC analyses were performed for each time frame and sensitivity, specificity, and accuracy were assessed. TBR sub(max) values in the earlier summation images were significantly better for tumour grading (P&lt;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 TBR sub(max) in the HGG (3.9 vs. 3.3; p&lt;0.001), while TBR sub(max) 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 TBR sub(max) 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 super(18)F-FET uptake of HGG in the initial phase. Therefore, when dynamic super(18)F-FET-PET cannot be performed, early TBR sub(max) assessment can be considered as an alternative for tumour grading.</abstract><doi>10.1007/s00259-015-3276-2</doi></addata></record>
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title Early static super(18)F-FET-PET scans have a higher accuracy for glioma grading than the standard 20-40 min scans
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