Hauptseite > Publikationsdatenbank > Two Decades of Brain Tumour Imaging with O-(2-[18F]fluoroethyl)-L-tyrosine PET: The Forschungszentrum Jülich Experience > print |
001 | 908587 | ||
005 | 20230123110631.0 | ||
024 | 7 | _ | |a 10.3390/cancers14143336 |2 doi |
024 | 7 | _ | |a 2128/31518 |2 Handle |
024 | 7 | _ | |a 35884396 |2 pmid |
024 | 7 | _ | |a WOS:000831654800001 |2 WOS |
037 | _ | _ | |a FZJ-2022-02703 |
082 | _ | _ | |a 610 |
100 | 1 | _ | |a Heinzel, Alexander |0 P:(DE-Juel1)132315 |b 0 |u fzj |
245 | _ | _ | |a Two Decades of Brain Tumour Imaging with O-(2-[18F]fluoroethyl)-L-tyrosine PET: The Forschungszentrum Jülich Experience |
260 | _ | _ | |a Basel |c 2022 |b MDPI |
336 | 7 | _ | |a article |2 DRIVER |
336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1658488808_6966 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a ARTICLE |2 BibTeX |
336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
520 | _ | _ | |a PET using radiolabelled amino acids has become an essential tool for diagnosing brain tumours in addition to MRI. O-(2-[18F]fluoroethyl)-L-tyrosine (FET) is one of the most successful tracers in the field. We analysed our database of 6534 FET PET examinations regarding the diagnostic needs and preferences of the referring physicians for FET PET in the clinical decision-making process. The demand for FET PET increased considerably in the last decade, especially for differentiating tumour progress from treatment-related changes in gliomas. Accordingly, referring physicians rated the diagnostics of recurrent glioma and recurrent brain metastases as the most relevant indication for FET PET. The analysis and survey results confirm the high relevance of FET PET in the clinical diagnosis of brain tumours and support the need for approval for routine use. |
536 | _ | _ | |a 5253 - Neuroimaging (POF4-525) |0 G:(DE-HGF)POF4-5253 |c POF4-525 |f POF IV |x 0 |
588 | _ | _ | |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de |
700 | 1 | _ | |a Dedic, Daniela |0 P:(DE-HGF)0 |b 1 |
700 | 1 | _ | |a Galldiks, Norbert |0 P:(DE-Juel1)143792 |b 2 |u fzj |
700 | 1 | _ | |a Lohmann, Philipp |0 P:(DE-Juel1)145110 |b 3 |
700 | 1 | _ | |a Stoffels, Gabriele |0 P:(DE-Juel1)131627 |b 4 |u fzj |
700 | 1 | _ | |a Filss, Christian P. |0 P:(DE-Juel1)141877 |b 5 |u fzj |
700 | 1 | _ | |a Kocher, Martin |0 P:(DE-Juel1)173675 |b 6 |u fzj |
700 | 1 | _ | |a Migliorini, Filippo |0 0000-0001-7220-1221 |b 7 |
700 | 1 | _ | |a Dillen, Kim N. H. |0 P:(DE-Juel1)136676 |b 8 |
700 | 1 | _ | |a Geisler, Stefanie |0 P:(DE-Juel1)131773 |b 9 |
700 | 1 | _ | |a Stegmayr, Carina |0 P:(DE-Juel1)156479 |b 10 |u fzj |
700 | 1 | _ | |a Willuweit, Antje |0 P:(DE-Juel1)144347 |b 11 |
700 | 1 | _ | |a Sabel, Michael |0 P:(DE-Juel1)165921 |b 12 |
700 | 1 | _ | |a Rapp, Marion |0 P:(DE-HGF)0 |b 13 |
700 | 1 | _ | |a Eble, Michael J. |0 P:(DE-HGF)0 |b 14 |
700 | 1 | _ | |a Piroth, Marc |0 P:(DE-HGF)0 |b 15 |
700 | 1 | _ | |a Clusmann, Hans |0 P:(DE-HGF)0 |b 16 |
700 | 1 | _ | |a Delev, Daniel |0 P:(DE-HGF)0 |b 17 |
700 | 1 | _ | |a Bauer, Elena K. |0 P:(DE-HGF)0 |b 18 |
700 | 1 | _ | |a Ceccon, Garry |0 P:(DE-HGF)0 |b 19 |
700 | 1 | _ | |a Dunkl, Veronika |0 P:(DE-Juel1)156211 |b 20 |
700 | 1 | _ | |a Rosen, Jurij |0 P:(DE-HGF)0 |b 21 |
700 | 1 | _ | |a Tscherpel, Caroline |b 22 |
700 | 1 | _ | |a Werner, Jan-Michael |0 0000-0001-7147-4594 |b 23 |
700 | 1 | _ | |a Ruge, Maximilian I. |0 P:(DE-HGF)0 |b 24 |
700 | 1 | _ | |a Goldbrunner, Roland |0 P:(DE-HGF)0 |b 25 |
700 | 1 | _ | |a Hampl, Jürgen |0 P:(DE-HGF)0 |b 26 |
700 | 1 | _ | |a Weiss Lucas, Carolin |0 P:(DE-HGF)0 |b 27 |
700 | 1 | _ | |a Herrlinger, Ulrich |0 P:(DE-HGF)0 |b 28 |
700 | 1 | _ | |a Maurer, Gabriele D. |0 P:(DE-HGF)0 |b 29 |
700 | 1 | _ | |a Steinbach, Joachim P. |0 P:(DE-HGF)0 |b 30 |
700 | 1 | _ | |a Mauler, Jörg |0 P:(DE-Juel1)144215 |b 31 |
700 | 1 | _ | |a Worthoff, Wieland A. |0 P:(DE-Juel1)156200 |b 32 |
700 | 1 | _ | |a Neumaier, Bernd N. |0 P:(DE-Juel1)166419 |b 33 |
700 | 1 | _ | |a Lerche, Christoph |0 P:(DE-Juel1)164254 |b 34 |
700 | 1 | _ | |a Fink, Gereon Rudolf |0 P:(DE-Juel1)131720 |b 35 |u fzj |
700 | 1 | _ | |a Shah, N. J. |0 P:(DE-Juel1)131794 |b 36 |u fzj |
700 | 1 | _ | |a Mottaghy, Felix M. |0 P:(DE-Juel1)132318 |b 37 |u fzj |
700 | 1 | _ | |a Langen, Karl-Josef |0 P:(DE-Juel1)131777 |b 38 |e Corresponding author |
773 | _ | _ | |a 10.3390/cancers14143336 |g Vol. 14, no. 14, p. 3336 - |0 PERI:(DE-600)2527080-1 |n 14 |p 3336 - |t Cancers |v 14 |y 2022 |x 2072-6694 |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/908587/files/cancers-14-03336-v2.pdf |y OpenAccess |
909 | C | O | |o oai:juser.fz-juelich.de:908587 |p openaire |p open_access |p VDB |p driver |p dnbdelivery |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)132315 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 2 |6 P:(DE-Juel1)143792 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 3 |6 P:(DE-Juel1)145110 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 4 |6 P:(DE-Juel1)131627 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 5 |6 P:(DE-Juel1)141877 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 6 |6 P:(DE-Juel1)173675 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 9 |6 P:(DE-Juel1)131773 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 10 |6 P:(DE-Juel1)156479 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 11 |6 P:(DE-Juel1)144347 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 31 |6 P:(DE-Juel1)144215 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 32 |6 P:(DE-Juel1)156200 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 33 |6 P:(DE-Juel1)166419 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 34 |6 P:(DE-Juel1)164254 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 35 |6 P:(DE-Juel1)131720 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 36 |6 P:(DE-Juel1)131794 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 37 |6 P:(DE-Juel1)132318 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 38 |6 P:(DE-Juel1)131777 |
913 | 1 | _ | |a DE-HGF |b Key Technologies |l Natural, Artificial and Cognitive Information Processing |1 G:(DE-HGF)POF4-520 |0 G:(DE-HGF)POF4-525 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Decoding Brain Organization and Dysfunction |9 G:(DE-HGF)POF4-5253 |x 0 |
914 | 1 | _ | |y 2022 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2021-05-04 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1190 |2 StatID |b Biological Abstracts |d 2021-05-04 |
915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2021-05-04 |
915 | _ | _ | |a Fees |0 StatID:(DE-HGF)0700 |2 StatID |d 2021-05-04 |
915 | _ | _ | |a Creative Commons Attribution CC BY 4.0 |0 LIC:(DE-HGF)CCBY4 |2 HGFVOC |
915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
915 | _ | _ | |a Article Processing Charges |0 StatID:(DE-HGF)0561 |2 StatID |d 2021-05-04 |
915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b CANCERS : 2021 |d 2022-11-30 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2022-11-30 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2022-11-30 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0501 |2 StatID |b DOAJ Seal |d 2022-01-24T07:56:58Z |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0500 |2 StatID |b DOAJ |d 2022-01-24T07:56:58Z |
915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b DOAJ : Blind peer review |d 2022-01-24T07:56:58Z |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0600 |2 StatID |b Ebsco Academic Search |d 2022-11-30 |
915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b ASC |d 2022-11-30 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2022-11-30 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2022-11-30 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |d 2022-11-30 |
915 | _ | _ | |a IF >= 5 |0 StatID:(DE-HGF)9905 |2 StatID |b CANCERS : 2021 |d 2022-11-30 |
920 | 1 | _ | |0 I:(DE-Juel1)INM-4-20090406 |k INM-4 |l Physik der Medizinischen Bildgebung |x 0 |
920 | 1 | _ | |0 I:(DE-Juel1)INM-11-20170113 |k INM-11 |l Jara-Institut Quantum Information |x 1 |
920 | 1 | _ | |0 I:(DE-Juel1)VDB1046 |k JARA-BRAIN |l Jülich-Aachen Research Alliance - Translational Brain Medicine |x 2 |
920 | 1 | _ | |0 I:(DE-Juel1)INM-3-20090406 |k INM-3 |l Kognitive Neurowissenschaften |x 3 |
920 | 1 | _ | |0 I:(DE-Juel1)INM-5-20090406 |k INM-5 |l Nuklearchemie |x 4 |
980 | _ | _ | |a journal |
980 | _ | _ | |a VDB |
980 | _ | _ | |a UNRESTRICTED |
980 | _ | _ | |a I:(DE-Juel1)INM-4-20090406 |
980 | _ | _ | |a I:(DE-Juel1)INM-11-20170113 |
980 | _ | _ | |a I:(DE-Juel1)VDB1046 |
980 | _ | _ | |a I:(DE-Juel1)INM-3-20090406 |
980 | _ | _ | |a I:(DE-Juel1)INM-5-20090406 |
980 | 1 | _ | |a FullTexts |
Library | Collection | CLSMajor | CLSMinor | Language | Author |
---|