000888589 001__ 888589
000888589 005__ 20210623133418.0
000888589 0247_ $$2doi$$a10.1007/s11940-021-00664-6
000888589 0247_ $$2ISSN$$a1092-8480
000888589 0247_ $$2ISSN$$a1534-3138
000888589 0247_ $$2Handle$$a2128/27129
000888589 0247_ $$2WOS$$aWOS:000613714400001
000888589 0247_ $$2altmetric$$aaltmetric:100296470
000888589 037__ $$aFZJ-2020-05045
000888589 041__ $$aEnglish
000888589 082__ $$a610
000888589 1001_ $$0P:(DE-Juel1)143792$$aGalldiks, Norbert$$b0$$eCorresponding author$$ufzj
000888589 245__ $$aImaging of response to radiosurgery and immunotherapy in brain metastses: Quo vadis?
000888589 260__ $$aPhiladelphia, Pa.$$bCurrent Science Inc.$$c2021
000888589 3367_ $$2DRIVER$$aarticle
000888589 3367_ $$2DataCite$$aOutput Types/Journal article
000888589 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1612786000_15570
000888589 3367_ $$2BibTeX$$aARTICLE
000888589 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000888589 3367_ $$00$$2EndNote$$aJournal Article
000888589 520__ $$aPurpose of ReviewThis review presents an overview of how advanced imaging techniques may help to overcome shortcomings of anatomical MRI for response assessment in patients with brain metastases who are undergoing stereotactic radiosurgery, immunotherapy, or combinations thereof.Recent FindingsStudy results suggest that parameters derived from amino acid PET, diffusion- and perfusion-weighted MRI, MR spectroscopy, and newer MRI methods are particularly helpful for the evaluation of the response to radiosurgery or checkpoint inhibitor immunotherapy and provide valuable information for the differentiation of radiotherapy-induced changes such as radiation necrosis from brain metastases. The evaluation of these imaging modalities is also of great interest in the light of emerging high-throughput analysis methods such as radiomics, which allow the acquisition of additional data at a low cost.SummaryPreliminary results are promising and should be further evaluated. Shortcomings are different levels of PET and MRI standardization, the number of patients enrolled in studies, and the monocentric and retrospective character of most studies.
000888589 536__ $$0G:(DE-HGF)POF4-525$$a525 - Decoding Brain Organization and Dysfunction (POF4-525)$$cPOF4-525$$fPOF IV$$x0
000888589 588__ $$aDataset connected to CrossRef
000888589 7001_ $$0P:(DE-HGF)0$$aJan-Michael, Werner$$b1
000888589 7001_ $$0P:(DE-Juel1)145110$$aLohmann, Philipp$$b2$$ufzj
000888589 7001_ $$0P:(DE-Juel1)173675$$aKocher, Martin$$b3$$ufzj
000888589 7001_ $$0P:(DE-Juel1)131720$$aFink, Gereon Rudolf$$b4$$ufzj
000888589 7001_ $$0P:(DE-Juel1)131777$$aLangen, Karl-Josef$$b5$$ufzj
000888589 773__ $$0PERI:(DE-600)2076603-8$$a10.1007/s11940-021-00664-6$$gVol. 23, no. 3, p. 7$$n3$$p7$$tCurrent treatment options in neurology$$v23$$x1092-8480$$y2021
000888589 8564_ $$uhttps://juser.fz-juelich.de/record/888589/files/Galldiks_2020_Current%20Treatment%20Options%20in%20%20Neurology_Imaging%20of%20response%20to..._post%20print.pdf$$yOpenAccess
000888589 8564_ $$uhttps://juser.fz-juelich.de/record/888589/files/Galldiks_2021_Current_Treatment_Options_in_Neurology_Imaging%20of%20response%20to%20radiosurgery....pdf$$yOpenAccess
000888589 909CO $$ooai:juser.fz-juelich.de:888589$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
000888589 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)143792$$aForschungszentrum Jülich$$b0$$kFZJ
000888589 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)145110$$aForschungszentrum Jülich$$b2$$kFZJ
000888589 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)173675$$aForschungszentrum Jülich$$b3$$kFZJ
000888589 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131720$$aForschungszentrum Jülich$$b4$$kFZJ
000888589 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131777$$aForschungszentrum Jülich$$b5$$kFZJ
000888589 9130_ $$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$$x0
000888589 9131_ $$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$$x0
000888589 9141_ $$y2021
000888589 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2020-08-18
000888589 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2020-08-18
000888589 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
000888589 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bCURR TREAT OPTION NE : 2018$$d2020-08-18
000888589 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2020-08-18
000888589 915__ $$0StatID:(DE-HGF)3002$$2StatID$$aDEAL Springer$$d2020-08-18$$wger
000888589 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2020-08-18
000888589 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5$$d2020-08-18
000888589 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000888589 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2020-08-18
000888589 915__ $$0StatID:(DE-HGF)1110$$2StatID$$aDBCoverage$$bCurrent Contents - Clinical Medicine$$d2020-08-18
000888589 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2020-08-18
000888589 920__ $$lyes
000888589 9201_ $$0I:(DE-Juel1)INM-3-20090406$$kINM-3$$lKognitive Neurowissenschaften$$x0
000888589 9201_ $$0I:(DE-Juel1)INM-4-20090406$$kINM-4$$lPhysik der Medizinischen Bildgebung$$x1
000888589 980__ $$ajournal
000888589 980__ $$aVDB
000888589 980__ $$aUNRESTRICTED
000888589 980__ $$aI:(DE-Juel1)INM-3-20090406
000888589 980__ $$aI:(DE-Juel1)INM-4-20090406
000888589 9801_ $$aFullTexts