001     303245
005     20250803021926.0
024 7 _ |a 10.1093/noajnl/vdaf152
|2 doi
024 7 _ |a pmid:40735273
|2 pmid
024 7 _ |a pmc:PMC12305537
|2 pmc
024 7 _ |a altmetric:179355396
|2 altmetric
037 _ _ |a DKFZ-2025-01591
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Furtner, Julia
|b 0
245 _ _ |a Prognostic value of 1D, 2D, and volumetric tumor size increases in recurrent WHO grade 2 and 3 meningiomas: Radiological post-hoc analysis of the EORTC-BTG-1320 trial.
260 _ _ |a Oxford
|c 2025
|b Oxford University Press
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 1753965525_19398
|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 Although the differential prognostic value of 1D, 2D, and volumetric meningioma size assessment has been reported, RANO meningioma criteria rely on bidimensional measurements.In this post-hoc analysis of the EORTC-BTG 1320 trial, contrast-enhancing CNS WHO grade 2 and 3 meningiomas were assessed using 1D, 2D, and volumetric measurements. Different cutoff values for lesion size increase were compared 6 months after the start of antineoplastic treatment using Cox proportional hazards models to evaluate their association with overall survival (OS). Optimal cutoff values were identified using two criteria: maximal hazard ratio (HR) for death with statistical significance for median OS and the cutoff that maximized mean specificity and sensitivity for predicting 1-year OS.Among 57 evaluable patients, unidimensional 5 mm and 10 mm tumor size increase yielded the maximal HRs (HR = 3.41, 95% Confidence Interval (CI) 1.56-7.45, P < .01 and HR = 3.22, 95% CI 1.58-6.58, P < .01, respectively) for OS. A 6 mm tumor size increase maximized mean specificity and sensitivity (HR = 2.91, 95% CI 1.43-5.93, P < .01) for predicting 1-year OS. For tumor volume assessments, a 30% increase was associated with the maximal HR (HR = 3.69, 95% CI 1.64-8.31, P < .01) for OS whereas a 40% increase maximized the mean specificity and sensitivity (HR = 3.66, 95% CI 1.75-7.654, P < .01). Bidimensional measurements showed no significant OS association.Unidimensional tumor measurements and tumor volume assessments show a stronger association with overall survival than bidimensional measurements in recurrent non-benign meningiomas. Integration of these methods into response assessment criteria for meningiomas should be considered.
536 _ _ |a 312 - Funktionelle und strukturelle Genomforschung (POF4-312)
|0 G:(DE-HGF)POF4-312
|c POF4-312
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de
650 _ 7 |a MRI
|2 Other
650 _ 7 |a meningioma
|2 Other
650 _ 7 |a progression
|2 Other
650 _ 7 |a survival
|2 Other
700 1 _ |a Berchtold, Luzia
|b 1
700 1 _ |a Le Rhun, Emilie
|0 0000-0002-9408-3278
|b 2
700 1 _ |a Silvani, Antonio
|b 3
700 1 _ |a Rudà, Roberta
|b 4
700 1 _ |a Lombardi, Giuseppe
|0 0000-0003-1316-2132
|b 5
700 1 _ |a Sepúlveda-Sánchez, Juan Manuel
|b 6
700 1 _ |a Brandal, Petter
|0 0000-0003-0259-495X
|b 7
700 1 _ |a Bendszus, Martin
|b 8
700 1 _ |a Golfinopoulos, Vassilis
|b 9
700 1 _ |a Gorlia, Thierry
|b 10
700 1 _ |a Sahm, Felix
|0 P:(DE-He78)a1f4b408b9155beb2a8f7cba4d04fe88
|b 11
|u dkfz
700 1 _ |a Wick, Wolfgang
|0 P:(DE-He78)92e9783ca7025f36ce14e12cd348d2ee
|b 12
|u dkfz
700 1 _ |a Minniti, Giuseppe
|b 13
700 1 _ |a Weller, Michael
|0 0000-0002-1748-174X
|b 14
700 1 _ |a König, Franz
|b 15
700 1 _ |a Preusser, Matthias
|0 0000-0003-3541-2315
|b 16
773 _ _ |a 10.1093/noajnl/vdaf152
|g Vol. 7, no. 1, p. vdaf152
|0 PERI:(DE-600)3009682-0
|n 1
|p vdaf152
|t Neuro-oncology advances
|v 7
|y 2025
|x 2632-2498
909 C O |o oai:inrepo02.dkfz.de:303245
|p VDB
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 11
|6 P:(DE-He78)a1f4b408b9155beb2a8f7cba4d04fe88
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 12
|6 P:(DE-He78)92e9783ca7025f36ce14e12cd348d2ee
913 1 _ |a DE-HGF
|b Gesundheit
|l Krebsforschung
|1 G:(DE-HGF)POF4-310
|0 G:(DE-HGF)POF4-312
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Funktionelle und strukturelle Genomforschung
|x 0
914 1 _ |y 2025
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b NEURO-ONCOL ADV : 2022
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2024-04-03T10:37:56Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2024-04-03T10:37:56Z
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Anonymous peer review
|d 2024-04-03T10:37:56Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2024-12-18
915 _ _ |a WoS
|0 StatID:(DE-HGF)0112
|2 StatID
|b Emerging Sources Citation Index
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2024-12-18
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
|d 2024-12-18
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|d 2024-12-18
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2024-12-18
920 1 _ |0 I:(DE-He78)B300-20160331
|k B300
|l KKE Neuropathologie
|x 0
920 1 _ |0 I:(DE-He78)B320-20160331
|k B320
|l KKE Neuroonkologie
|x 1
920 1 _ |0 I:(DE-He78)HD01-20160331
|k HD01
|l DKTK HD zentral
|x 2
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)B300-20160331
980 _ _ |a I:(DE-He78)B320-20160331
980 _ _ |a I:(DE-He78)HD01-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21