000892369 001__ 892369 000892369 005__ 20210623133425.0 000892369 0247_ $$2doi$$a10.3390/cancers13092093 000892369 0247_ $$2Handle$$a2128/27732 000892369 0247_ $$2altmetric$$aaltmetric:104996874 000892369 0247_ $$2pmid$$a33926002 000892369 0247_ $$2WOS$$aWOS:000649887700001 000892369 037__ $$aFZJ-2021-02030 000892369 082__ $$a610 000892369 1001_ $$00000-0002-9566-8438$$aHolzgreve, Adrien$$b0$$eCorresponding author 000892369 245__ $$aUse of PET Imaging in Neuro-Oncological Surgery 000892369 260__ $$aBasel$$bMDPI$$c2021 000892369 3367_ $$2DataCite$$aOutput Types/Book Review 000892369 3367_ $$0PUB:(DE-HGF)36$$2PUB:(DE-HGF)$$aReview$$breview$$mreview$$s1620220291_3796 000892369 3367_ $$2ORCID$$aBOOK_REVIEW 000892369 3367_ $$2DRIVER$$areview 000892369 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$mjournal 000892369 3367_ $$2BibTeX$$aARTICLE 000892369 3367_ $$00$$2EndNote$$aJournal Article 000892369 520__ $$aThis review provides an overview of current applications and perspectives of PET imaging in neuro-oncological surgery. The past and future of PET imaging in the management of patients with glioma and brain metastases are elucidated with an emphasis on amino acid tracers, such as O-(2-[18F]fluoroethyl)-L-tyrosine (18F-FET). The thematic scope includes surgical resection planning, prognostication, non-invasive prediction of molecular tumor characteristics, depiction of intratumoral heterogeneity, response assessment, differentiation between tumor progression and treatment-related changes, and emerging new tracers. Furthermore, the role of PET using specific somatostatin receptor ligands for the management of patients with meningioma is discussed. Further advances in neuro-oncological imaging can be expected from promising new techniques, such as hybrid PET/MR scanners and the implementation of artificial intelligence methods, such as radiomics. 000892369 536__ $$0G:(DE-HGF)POF4-525$$a525 - Decoding Brain Organization and Dysfunction (POF4-525)$$cPOF4-525$$fPOF IV$$x0 000892369 588__ $$aDataset connected to CrossRef, Journals: juser.fz-juelich.de 000892369 7001_ $$0P:(DE-HGF)0$$aAlbert, Nathalie L.$$b1 000892369 7001_ $$0P:(DE-Juel1)143792$$aGalldiks, Norbert$$b2 000892369 7001_ $$0P:(DE-HGF)0$$aSuchorska, Bogdana$$b3$$eCorresponding author 000892369 773__ $$0PERI:(DE-600)2527080-1$$a10.3390/cancers13092093$$gVol. 13, no. 9, p. 2093 -$$n9$$p2093 -$$tCancers$$v13$$x2072-6694$$y2021 000892369 8564_ $$uhttps://juser.fz-juelich.de/record/892369/files/Holzgreve_2021_Cancers_Use%20of%20PET%20imaging%20in....pdf$$yOpenAccess 000892369 909CO $$ooai:juser.fz-juelich.de:892369$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire 000892369 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)143792$$aForschungszentrum Jülich$$b2$$kFZJ 000892369 9130_ $$0G:(DE-HGF)POF3-572$$1G:(DE-HGF)POF3-570$$2G:(DE-HGF)POF3-500$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lDecoding the Human Brain$$v(Dys-)function and Plasticity$$x0 000892369 9131_ $$0G:(DE-HGF)POF4-525$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vDecoding Brain Organization and Dysfunction$$x0 000892369 9141_ $$y2021 000892369 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2020-09-11 000892369 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2020-09-11 000892369 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews$$d2020-09-11 000892369 915__ $$0StatID:(DE-HGF)1190$$2StatID$$aDBCoverage$$bBiological Abstracts$$d2020-09-11 000892369 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2020-09-11 000892369 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bCANCERS : 2018$$d2020-09-11 000892369 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2020-09-11 000892369 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2020-09-11 000892369 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2020-09-11 000892369 915__ $$0StatID:(DE-HGF)0700$$2StatID$$aFees$$d2020-09-11 000892369 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2020-09-11 000892369 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0 000892369 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess 000892369 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2020-09-11 000892369 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$d2020-09-11 000892369 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bCANCERS : 2018$$d2020-09-11 000892369 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2020-09-11 000892369 915__ $$0StatID:(DE-HGF)0320$$2StatID$$aDBCoverage$$bPubMed Central$$d2020-09-11 000892369 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2020-09-11 000892369 920__ $$lyes 000892369 9201_ $$0I:(DE-Juel1)INM-3-20090406$$kINM-3$$lKognitive Neurowissenschaften$$x0 000892369 980__ $$areview 000892369 980__ $$aVDB 000892369 980__ $$aUNRESTRICTED 000892369 980__ $$ajournal 000892369 980__ $$aI:(DE-Juel1)INM-3-20090406 000892369 9801_ $$aFullTexts