000908193 001__ 908193
000908193 005__ 20220621190116.0
000908193 0247_ $$2doi$$a10.1093/neuonc/nox168.650
000908193 0247_ $$2ISSN$$a1522-8517
000908193 0247_ $$2ISSN$$a1523-5866
000908193 037__ $$aFZJ-2022-02446
000908193 082__ $$a610
000908193 1001_ $$0P:(DE-Juel1)145110$$aLohmann, Philipp$$b0$$ufzj
000908193 245__ $$aNIMG-78. FIRST TIME CORRELATION OF FET PET, MRI AND POST-MORTEM WHOLE-BRAIN HISTOPATHOLOGY IN A PROGRESSIVE GLIOBLASTOMA
000908193 260__ $$c2017
000908193 3367_ $$2DataCite$$aText
000908193 3367_ $$0PUB:(DE-HGF)4$$2PUB:(DE-HGF)$$aCommunication$$bcomm$$mcomm$$s1655804473_31470
000908193 3367_ $$2BibTeX$$aMISC
000908193 3367_ $$2ORCID$$aOTHER
000908193 3367_ $$2DINI$$aOther
000908193 3367_ $$04$$2EndNote$$aPersonal Communication
000908193 520__ $$aBACKGROUND Amino acid PET using O-(2-[18F]fluoroethyl)-L-tyrosine (FET) provides important additional information on the extent of viable tumor tissue of glioblastoma compared with MRI. Especially after radiochemotherapy, progression of contrast enhancement in MRI can be equivocal and may represent either true tumor progression or treatment-related changes. We present the first case comparing post-mortem whole-brain histopathology in progressive glioblastoma with dynamic in vivo FET PET and MRI.METHODSA 61-year-old glioblastoma patient underwent initially partial resection and died eleven weeks after completion of chemoradiation with concurrent temozolomide. Three days before the patient died, a follow-up FET PET and MRI scan indicated local tumor progression within the irradiation field. An autopsy was performed at 48 h hours after death and the tumor bearing brain was preserved. After fixation in formalin and paraffin embedding, the brain tissue was cut into 3500 coronal sections (20 micrometers). Representative sections were stained using GFAP and cresyl violet. An experienced neuropathologist identified areas of neoplastic tissue, astrogliosis and necrosis. In vivo FET PET, MRI and histopathology were co-registered and compared by three experienced physicians.RESULTSIncreased FET uptake (tumor-to-brain ratio = 2.3) in the area of equivocal contrast enhancement on MRI correlated very well with vital tumor cells and showed tracer kinetics typical for malignant gliomas (early peak followed by constant descent). An area of reactive astrogliosis showed only moderate FET uptake (tumor-to-brain ratio = 1.5) and tracer kinetics usually observed in benign lesions (constantly increasing). Necrotic areas showed neither enhanced FET uptake nor contrast enhancement in MRI.CONCLUSIONSThis case report documents for the first time the correct imaging of a progressive glioblastoma by FET PET, thereby confirming findings from previous studies. FET PET significantly contributes to the correct identification of neoplastic tissue and, thus, to a better differentiation of tumor progression and treatment-related changes.
000908193 536__ $$0G:(DE-HGF)POF4-5253$$a5253 - Neuroimaging (POF4-525)$$cPOF4-525$$fPOF IV$$x0
000908193 588__ $$aDataset connected to CrossRef, Journals: juser.fz-juelich.de
000908193 7001_ $$0P:(DE-HGF)0$$aPiroth, Marc D$$b1
000908193 7001_ $$0P:(DE-HGF)0$$aSellhaus, Bernd$$b2
000908193 7001_ $$0P:(DE-Juel1)131773$$aGeisler, Stefanie$$b3$$ufzj
000908193 7001_ $$0P:(DE-Juel1)131782$$aOros-Peusquens, Ana-Maria$$b4$$ufzj
000908193 7001_ $$0P:(DE-Juel1)131660$$aMohlberg, Hartmut$$b5$$ufzj
000908193 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b6$$ufzj
000908193 7001_ $$0P:(DE-Juel1)131794$$aShah, Nadim J$$b7$$ufzj
000908193 7001_ $$0P:(DE-Juel1)143792$$aGalldiks, Norbert$$b8$$ufzj
000908193 7001_ $$0P:(DE-Juel1)131777$$aLangen, Karl-Josef$$b9$$ufzj
000908193 773__ $$0PERI:(DE-600)2094060-9$$a10.1093/neuonc/nox168.650$$gVol. 19, no. suppl_6, p. vi160 - vi160$$x1523-5866$$y2017
000908193 909CO $$ooai:juser.fz-juelich.de:908193$$pVDB
000908193 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)145110$$aForschungszentrum Jülich$$b0$$kFZJ
000908193 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131773$$aForschungszentrum Jülich$$b3$$kFZJ
000908193 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131782$$aForschungszentrum Jülich$$b4$$kFZJ
000908193 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131660$$aForschungszentrum Jülich$$b5$$kFZJ
000908193 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b6$$kFZJ
000908193 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131794$$aForschungszentrum Jülich$$b7$$kFZJ
000908193 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)143792$$aForschungszentrum Jülich$$b8$$kFZJ
000908193 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131777$$aForschungszentrum Jülich$$b9$$kFZJ
000908193 9131_ $$0G:(DE-HGF)POF4-525$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5253$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vDecoding Brain Organization and Dysfunction$$x0
000908193 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz$$d2021-02-03$$wger
000908193 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2021-02-03
000908193 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2021-02-03
000908193 915__ $$0StatID:(DE-HGF)0320$$2StatID$$aDBCoverage$$bPubMed Central$$d2021-02-03
000908193 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2021-02-03
000908193 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2021-02-03
000908193 915__ $$0StatID:(DE-HGF)1110$$2StatID$$aDBCoverage$$bCurrent Contents - Clinical Medicine$$d2021-02-03
000908193 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2021-02-03
000908193 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2021-02-03
000908193 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bNEURO-ONCOLOGY : 2019$$d2021-02-03
000908193 915__ $$0StatID:(DE-HGF)9910$$2StatID$$aIF >= 10$$bNEURO-ONCOLOGY : 2019$$d2021-02-03
000908193 9201_ $$0I:(DE-Juel1)INM-4-20090406$$kINM-4$$lPhysik der Medizinischen Bildgebung$$x0
000908193 9201_ $$0I:(DE-Juel1)INM-11-20170113$$kINM-11$$lJara-Institut Quantum Information$$x1
000908193 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x2
000908193 9201_ $$0I:(DE-Juel1)INM-3-20090406$$kINM-3$$lKognitive Neurowissenschaften$$x3
000908193 980__ $$acomm
000908193 980__ $$aVDB
000908193 980__ $$aI:(DE-Juel1)INM-4-20090406
000908193 980__ $$aI:(DE-Juel1)INM-11-20170113
000908193 980__ $$aI:(DE-Juel1)INM-1-20090406
000908193 980__ $$aI:(DE-Juel1)INM-3-20090406
000908193 980__ $$aUNRESTRICTED