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Non-invasive prediction of IDH-wildtype genotype in gliomas using dynamic 18 F-FET PET.
- Source :
-
European journal of nuclear medicine and molecular imaging [Eur J Nucl Med Mol Imaging] 2019 Nov; Vol. 46 (12), pp. 2581-2589. Date of Electronic Publication: 2019 Aug 13. - Publication Year :
- 2019
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Abstract
- Purpose: According to the updated WHO classification of gliomas with its emphasis on molecular parameters, tumours with an IDH-wildtype status have a dismal prognosis. To ensure timely adjustment of treatment, demand for non-invasive prediction methods is high. <superscript>18</superscript> F-FET PET has been shown to be an important diagnostic tool for glioma management. The aim of this study was to assess the value of dynamic <superscript>18</superscript> F-FET PET for the non-invasive prediction of the IDH-mutation status.<br />Methods: Newly diagnosed WHO grade II-IV glioma patients with MRI and dynamic <superscript>18</superscript> F-FET PET were included. The <superscript>18</superscript> F-FET PET parameters mean and maximal tumour-to-background ratio (TBR <subscript>mean</subscript> , TBR <subscript>max</subscript> ) and minimal time-to-peak (TTP <subscript>min</subscript> ) were evaluated. The diagnostic power for the prediction of the IDH genotype (positive/negative predictive value) was tested in the overall study group and in the subgroup of non-contrast enhancing gliomas.<br />Results: Three hundred forty-one patients were evaluated. Molecular analyses revealed 178 IDH-mutant and 163 IDH-wildtype tumours. Overall, 270/341 gliomas were classified as <superscript>18</superscript> F-FET-positive (TBR <subscript>max</subscript> > 1.6), 90.2% of the IDH-wildtype and 69.1% of IDH-mutant gliomas. Median TBR <subscript>max</subscript> was significantly higher in IDH-wildtype compared with IDH-mutant gliomas (2.9 vs. 2.3, p < 0.001); however, ROC-analyses revealed no reliable cutoff due to a high overlap (range 1.0-7.1 vs. 1.1-7.9). Dynamic analysis revealed a significantly shorter TTP <subscript>min</subscript> in IDH-wildtype gliomas; using TTP <subscript>min</subscript> ≤ 12.5 min as indicator for IDH-wildtype gliomas, a positive predictive value of 87% was reached (negative predictive value 72%, AUC = 0.796, p ≤ 0.001). A total of 161/341 gliomas did not show contrast enhancement on MRI; even within this subgroup, TTP <subscript>min</subscript> ≤ 12.5 min remained a good predictor of IDH-wildtype glioma (positive predictive value 83%, negative predictive value 90%; AUC = 0.868, p < 0.001).<br />Conclusion: A short TTP <subscript>min</subscript> in dynamic <superscript>18</superscript> F-FET PET serves as good predictor of highly aggressive IDH-wildtype status in gliomas. In particular, a high diagnostic power was observed in the subgroup of non-contrast enhancing gliomas, which helps to identify patients with worse prognosis.
- Subjects :
- Brain Neoplasms diagnostic imaging
Brain Neoplasms genetics
Brain Neoplasms metabolism
Brain Neoplasms pathology
Female
Glioma genetics
Glioma pathology
Humans
Male
Middle Aged
Neoplasm Grading
Neoplasm Invasiveness
Genotype
Glioma diagnostic imaging
Glioma metabolism
Isocitrate Dehydrogenase genetics
Mutation
Positron-Emission Tomography
Tyrosine analogs & derivatives
Subjects
Details
- Language :
- English
- ISSN :
- 1619-7089
- Volume :
- 46
- Issue :
- 12
- Database :
- MEDLINE
- Journal :
- European journal of nuclear medicine and molecular imaging
- Publication Type :
- Academic Journal
- Accession number :
- 31410540
- Full Text :
- https://doi.org/10.1007/s00259-019-04477-3