Universität zu Köln

Lohmann, Philipp ORCID: 0000-0002-5360-046X, Lerche, Christoph ORCID: 0000-0003-2749-2108, Bauer, Elena K., Steger, Jan, Stoffels, Gabriele ORCID: 0000-0001-7114-1941, Blau, Tobias, Dunkl, Veronika, Kocher, Martin, Viswanathan, Shivakumar ORCID: 0000-0002-7513-3778, Filss, Christian P., Stegmayr, Carina ORCID: 0000-0003-4191-8734, Ruge, Maximillian, I, Neumaier, Bernd, Shah, Nadim J., Fink, Gereon R. ORCID: 0000-0002-8230-1856, Langen, Karl-Josef ORCID: 0000-0003-1101-5075 and Galldiks, Norbert ORCID: 0000-0002-2485-1796 (2018). Predicting IDH genotype in gliomas using FET PET radiomics. Sci Rep, 8. LONDON: NATURE PUBLISHING GROUP. ISSN 2045-2322

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Abstract

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-[F-18]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.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Lohmann, Philipp UNSPECIFIED orcid.org/0000-0002-5360-046X UNSPECIFIED Lerche, Christoph UNSPECIFIED orcid.org/0000-0003-2749-2108 UNSPECIFIED Bauer, Elena K. UNSPECIFIED UNSPECIFIED UNSPECIFIED Steger, Jan UNSPECIFIED UNSPECIFIED UNSPECIFIED Stoffels, Gabriele UNSPECIFIED orcid.org/0000-0001-7114-1941 UNSPECIFIED Blau, Tobias UNSPECIFIED UNSPECIFIED UNSPECIFIED Dunkl, Veronika UNSPECIFIED UNSPECIFIED UNSPECIFIED Kocher, Martin UNSPECIFIED UNSPECIFIED UNSPECIFIED Viswanathan, Shivakumar UNSPECIFIED orcid.org/0000-0002-7513-3778 UNSPECIFIED Filss, Christian P. UNSPECIFIED UNSPECIFIED UNSPECIFIED Stegmayr, Carina UNSPECIFIED orcid.org/0000-0003-4191-8734 UNSPECIFIED Ruge, Maximillian, I UNSPECIFIED UNSPECIFIED UNSPECIFIED Neumaier, Bernd UNSPECIFIED UNSPECIFIED UNSPECIFIED Shah, Nadim J. UNSPECIFIED UNSPECIFIED UNSPECIFIED Fink, Gereon R. UNSPECIFIED orcid.org/0000-0002-8230-1856 UNSPECIFIED Langen, Karl-Josef UNSPECIFIED orcid.org/0000-0003-1101-5075 UNSPECIFIED Galldiks, Norbert UNSPECIFIED orcid.org/0000-0002-2485-1796 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-173114
DOI:	10.1038/s41598-018-31806-7
Journal or Publication Title:	Sci Rep
Volume:	8
Date:	2018
Publisher:	NATURE PUBLISHING GROUP
Place of Publication:	LONDON
ISSN:	2045-2322
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language TEXTURAL FEATURES; MUTATION STATUS; GRADE; SURVIVAL; TUMORS; CLASSIFICATION; HETEROGENEITY; PROCARBAZINE; VINCRISTINE; CARCINOMA Multiple languages Multidisciplinary Sciences Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/17311