This title appears in the Scientific Report :
2018
Please use the identifier:
http://dx.doi.org/10.1038/s41598-018-31806-7 in citations.
Please use the identifier: http://hdl.handle.net/2128/19671 in citations.
Predicting IDH genotype in gliomas using FET PET radiomics
Predicting IDH genotype in gliomas using FET PET radiomics
Mutations in the isocitrate dehydrogenase (IDH mut) gene have gained paramount importance for the prognosis of glioma patients. To date, reliable techniques for a preoperative evaluation of IDH genotype remain scarce. Therefore, we investigated the potential of O-(2-[18F]fluoroethyl)-L-tyrosine (FET...
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Personal Name(s): | Lohmann, Philipp (Corresponding author) |
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Lerche, Christoph / Bauer, Elena K. / Steger, Jan / Stoffels, Gabriele / Blau, Tobias / Dunkl, Veronika / Kocher, Martin / Viswanathan, Shivakumar / Filss, Christian / Stegmayr, Carina / Ruge, Maximillian I. / Neumaier, Bernd / Shah, Nadim J. / Fink, Gereon R. / Langen, Karl-Josef / Galldiks, Norbert | |
Contributing Institute: |
Nuklearchemie; INM-5 Physik der Medizinischen Bildgebung; INM-4 Kognitive Neurowissenschaften; INM-3 |
Published in: | Scientific reports, 8 (2018) 1, S. 13328 |
Imprint: |
London
Nature Publishing Group
2018
|
DOI: |
10.1038/s41598-018-31806-7 |
PubMed ID: |
30190592 |
Document Type: |
Journal Article |
Research Program: |
(Dys-)function and Plasticity |
Link: |
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Publikationsportal JuSER |
Please use the identifier: http://hdl.handle.net/2128/19671 in citations.
Mutations in the isocitrate dehydrogenase (IDH mut) gene have gained paramount importance for the prognosis of glioma patients. To date, reliable techniques for a preoperative evaluation of IDH genotype remain scarce. Therefore, we investigated the potential of O-(2-[18F]fluoroethyl)-L-tyrosine (FET) PET radiomics using textural features combined with static and dynamic parameters of FET uptake for noninvasive prediction of IDH genotype. Prior to surgery, 84 patients with newly diagnosed and untreated gliomas underwent FET PET using a standard scanner (15 of 56 patients with IDH mut) or a dedicated high-resolution hybrid PET/MR scanner (11 of 28 patients with IDH mut). Static, dynamic and textural parameters of FET uptake in the tumor area were evaluated. Diagnostic accuracy of the parameters was evaluated using the neuropathological result as reference. Additionally, FET PET and textural parameters were combined to further increase the diagnostic accuracy. The resulting models were validated using cross-validation. Independent of scanner type, the combination of standard PET parameters with textural features increased significantly diagnostic accuracy. The highest diagnostic accuracy of 93% for prediction of IDH genotype was achieved with the hybrid PET/MR scanner. Our findings suggest that the combination of conventional FET PET parameters with textural features provides important diagnostic information for the non-invasive prediction of the IDH genotype. |