001     1025208
005     20250203103227.0
024 7 _ |a 10.1093/neuonc/noad137.075
|2 doi
024 7 _ |a 1522-8517
|2 ISSN
024 7 _ |a 1523-5866
|2 ISSN
024 7 _ |a WOS:001300535600076
|2 WOS
037 _ _ |a FZJ-2024-02776
082 _ _ |a 610
100 1 _ |a Kocher, M.
|0 P:(DE-Juel1)173675
|b 0
|e Corresponding author
|u fzj
111 2 _ |a 18th Meeting of the European Association of Neuro-Oncology
|c Rotterdam
|d 2023-09-21 - 2023-09-24
|w Netherlands
245 _ _ |a P01.01.A THE IMPACT OF BRAIN LESIONS ON HEALTH-RELATED QUALITY OF LIFE IN PATIENTS WITH WHO CNS GRADE 3 OR 4 GLIOMA: A LESION-FUNCTION AND RESTING-STATE FMRI ANALYSIS
260 _ _ |c 2023
336 7 _ |a Abstract
|b abstract
|m abstract
|0 PUB:(DE-HGF)1
|s 1714564290_354
|2 PUB:(DE-HGF)
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a INPROCEEDINGS
|2 BibTeX
336 7 _ |a conferenceObject
|2 DRIVER
336 7 _ |a Output Types/Conference Abstract
|2 DataCite
336 7 _ |a OTHER
|2 ORCID
520 _ _ |a BACKGROUNDIn glioma patients, tumor development and multimodality therapy are associated with changes in health-related quality of life (HRQoL). It is largely unknown how different types and locations of tumor- and treatment-related brain lesions, as well as their relationship to white matter tracts and functional brain networks, affect HRQoL.MATERIAL AND METHODSIn 121 patients with pretreated gliomas of WHO CNS grades 3 or 4, structural MRI, O-(2-[18F]fluoroethyl)-L-tyrosine (FET) PET, resting-state functional MRI (rs-fMRI) and self-reported HRQoL questionnaires (EORTC QLQ-C30/BN20) were obtained. Resection cavities, T1-enhancing lesions, T2/FLAIR hyperintensities, and lesions with pathologically increased FET uptake were delineated. Effects of tumor lateralization, involvement of white matter tracts or resting-state network nodes by different types of lesions and within-network rs-fMRI connectivity were analyzed in terms of their interaction with HRQoL scores.RESULTSRight hemisphere gliomas were associated with significantly less favorable outcomes in physical, role, emotional and social functioning, compared with left-sided tumors. Most functional HRQoL scores correlated significantly with right-sided white-matter tracts involvement by T2/FLAIR hyperintensities and with loss of within-network functional connectivity of right-sided nodes. Tumors of the left hemisphere caused significantly more communication deficits.CONCLUSIONIn pretreated high-grade gliomas, right hemisphere lesions are associated with reduced HRQoL scores in most functional domains except communication ability, compared to tumors of the left hemisphere. These relationships are mainly observed for T2/FLAIR lesions involving structural and functional networks in the right hemisphere. The data suggest that sparing the right hemisphere from treatment-related tissue damage may improve HRQoL in glioma patients.
536 _ _ |a 5251 - Multilevel Brain Organization and Variability (POF4-525)
|0 G:(DE-HGF)POF4-5251
|c POF4-525
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de
700 1 _ |a Heinzel, A.
|0 P:(DE-Juel1)132315
|b 1
700 1 _ |a Mottaghy, F. M.
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Filss, C.
|0 P:(DE-Juel1)141877
|b 3
|u fzj
700 1 _ |a Stoffels, G.
|0 P:(DE-Juel1)131627
|b 4
|u fzj
700 1 _ |a Lohmann, P.
|0 P:(DE-Juel1)145110
|b 5
|u fzj
700 1 _ |a Friedrich, M.
|0 P:(DE-Juel1)184842
|b 6
|u fzj
700 1 _ |a Shah, N. J.
|0 P:(DE-Juel1)131794
|b 7
|u fzj
700 1 _ |a Caspers, S.
|0 P:(DE-Juel1)131675
|b 8
|u fzj
700 1 _ |a Weiss Lucas, C.
|0 P:(DE-HGF)0
|b 9
700 1 _ |a Ruge, M. I.
|0 P:(DE-HGF)0
|b 10
700 1 _ |a Galldiks, N.
|0 P:(DE-Juel1)143792
|b 11
|u fzj
700 1 _ |a Fink, G. R.
|0 P:(DE-Juel1)131720
|b 12
|u fzj
700 1 _ |a Langen, K.
|0 P:(DE-Juel1)131777
|b 13
|u fzj
773 _ _ |a 10.1093/neuonc/noad137.075
|0 PERI:(DE-600)2094060-9
|y 2023
|g Vol. 25, no. Supplement_2, p. ii25 - ii25
|x 1523-5866
909 C O |o oai:juser.fz-juelich.de:1025208
|p VDB
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)173675
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 3
|6 P:(DE-Juel1)141877
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)145110
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 6
|6 P:(DE-Juel1)184842
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 7
|6 P:(DE-Juel1)131794
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 8
|6 P:(DE-Juel1)131675
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 11
|6 P:(DE-Juel1)143792
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 12
|6 P:(DE-Juel1)131720
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 13
|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)POF4-5251
|x 0
914 1 _ |y 2024
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
|d 2023-10-24
|w ger
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b NEURO-ONCOLOGY : 2022
|d 2023-10-24
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2023-10-24
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2023-10-24
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0320
|2 StatID
|b PubMed Central
|d 2023-10-24
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2023-10-24
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2023-10-24
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2023-10-24
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2023-10-24
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1110
|2 StatID
|b Current Contents - Clinical Medicine
|d 2023-10-24
915 _ _ |a IF >= 15
|0 StatID:(DE-HGF)9915
|2 StatID
|b NEURO-ONCOLOGY : 2022
|d 2023-10-24
920 1 _ |0 I:(DE-Juel1)INM-1-20090406
|k INM-1
|l Strukturelle und funktionelle Organisation des Gehirns
|x 0
920 1 _ |0 I:(DE-Juel1)INM-4-20090406
|k INM-4
|l Physik der Medizinischen Bildgebung
|x 1
920 1 _ |0 I:(DE-Juel1)INM-3-20090406
|k INM-3
|l Kognitive Neurowissenschaften
|x 2
980 _ _ |a abstract
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)INM-1-20090406
980 _ _ |a I:(DE-Juel1)INM-4-20090406
980 _ _ |a I:(DE-Juel1)INM-3-20090406
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21