001     282578
005     20251218103443.0
024 7 _ |a 10.1186/s40644-025-00959-w
|2 doi
024 7 _ |a pmid:41275261
|2 pmid
024 7 _ |a pmc:PMC12670812
|2 pmc
024 7 _ |a 1470-7330
|2 ISSN
024 7 _ |a 1740-5025
|2 ISSN
037 _ _ |a DZNE-2025-01338
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Winkelmann, Michael
|b 0
245 _ _ |a Predictive value of maximum tumor dissemination (Dmax) in lymphoma patients treated with CD19-specific CAR T-Cells.
260 _ _ |a London
|c 2025
|b BioMed Central
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 1764937691_11989
|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 CD19-specific chimeric antigen receptor T-cell therapy (CART) has emerged as effective treatment for relapsed or refractory (r/r) lymphoma. The maximum distance (Dmax) of lymphoma lesions holds potential as prognostic imaging biomarker in lymphoma treated with conventional therapies, but evidence in the context of CART remains scarce and further studies are needed to clarify its clinical relevance. We evaluated Dmax at baseline imaging as a potential prognostic tool for assessment of metabolic and overall response, progression-free survival (PFS) and overall survival (OS).Consecutive r/r lymphoma patients with (PET/)CT imaging at baseline (BL) before lymphodepletion and subsequent CAR T-cell transfusion were included. Dmax was measured in cm at BL. Patients were divided by tertiles into three equal sized groups according to Dmax. Ann Arbor stages were calculated at baseline and the sum of product diameters (SPD) was used to represent tumor burden (TB). Overall response according to Lugano criteria and the Deauville score were determined at day 90 PET/CT imaging.Thirty-nine patients met the inclusion criteria. Median Dmax was 40.0 cm (IQR: 16.4-70.3 cm) at BL. Median TB decreased from BL with 4,095 mm2 to 770 mm2 at FU imaging. Median TB at BL was significantly higher in the Dmax intermediate and high group compared to the Dmax low group (p = 0.005) with 7,222 mm2 (IQR: 3,355-11,941 mm2), 4,649 mm2 (IQR: 2,376-10,406 mm2) and 1,739 mm2 (IQR: 715-7,402 mm2), respectively. Dmax intermediate and high group showed significantly higher Ann Arbor stages (p < 0.001). The survival analysis revealed a significantly (p = 0.030) shorter PFS in the Dmax high group compared to the other patients (91 vs. 364 days), but no relevant differences in OS (p = 0.151).Patients with high Dmax showed a shorter PFS, but no significant differences in OS. Dmax is a useful parameter for characterizing tumor dissemination, which could also be incorporated into scores due to its interval scale.
536 _ _ |a 352 - Disease Mechanisms (POF4-352)
|0 G:(DE-HGF)POF4-352
|c POF4-352
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: pub.dzne.de
650 _ 7 |a 18F-FDG PET/CT
|2 Other
650 _ 7 |a Ann-Arbor, Deauville-Score
|2 Other
650 _ 7 |a CAR t-cell therapy
|2 Other
650 _ 7 |a Dissemination features
|2 Other
650 _ 7 |a Dmax, Dmaxbulk
|2 Other
650 _ 7 |a Lugano criteria
|2 Other
650 _ 7 |a Lymphoma
|2 Other
650 _ 7 |a Antigens, CD19
|2 NLM Chemicals
650 _ 7 |a Receptors, Chimeric Antigen
|2 NLM Chemicals
650 _ 2 |a Humans
|2 MeSH
650 _ 2 |a Male
|2 MeSH
650 _ 2 |a Female
|2 MeSH
650 _ 2 |a Middle Aged
|2 MeSH
650 _ 2 |a Immunotherapy, Adoptive: methods
|2 MeSH
650 _ 2 |a Positron Emission Tomography Computed Tomography: methods
|2 MeSH
650 _ 2 |a Aged
|2 MeSH
650 _ 2 |a Antigens, CD19: immunology
|2 MeSH
650 _ 2 |a Adult
|2 MeSH
650 _ 2 |a Lymphoma: therapy
|2 MeSH
650 _ 2 |a Lymphoma: pathology
|2 MeSH
650 _ 2 |a Lymphoma: diagnostic imaging
|2 MeSH
650 _ 2 |a Lymphoma: immunology
|2 MeSH
650 _ 2 |a Prognosis
|2 MeSH
650 _ 2 |a Receptors, Chimeric Antigen: immunology
|2 MeSH
650 _ 2 |a Tumor Burden
|2 MeSH
650 _ 2 |a Aged, 80 and over
|2 MeSH
650 _ 2 |a Retrospective Studies
|2 MeSH
650 _ 2 |a Predictive Value of Tests
|2 MeSH
700 1 _ |a Achhammer, Philipp
|b 1
700 1 _ |a Blumenberg, Viktoria
|b 2
700 1 _ |a Rejeski, Kai
|b 3
700 1 _ |a Bücklein, Veit L
|b 4
700 1 _ |a Schmidt, Christian
|b 5
700 1 _ |a Sheikh, Gabriel T
|b 6
700 1 _ |a Brendel, Matthias
|0 P:(DE-2719)9001539
|b 7
|u dzne
700 1 _ |a Ricke, Jens
|b 8
700 1 _ |a von Bergwelt-Baildon, Michael
|b 9
700 1 _ |a Subklewe, Marion
|b 10
700 1 _ |a Kunz, Wolfgang G
|b 11
773 _ _ |a 10.1186/s40644-025-00959-w
|g Vol. 25, no. 1, p. 135
|0 PERI:(DE-600)2104862-9
|n 1
|p 135
|t Cancer imaging
|v 25
|y 2025
|x 1470-7330
856 4 _ |y OpenAccess
|u https://pub.dzne.de/record/282578/files/DZNE-2025-01338.pdf
856 4 _ |y OpenAccess
|x pdfa
|u https://pub.dzne.de/record/282578/files/DZNE-2025-01338.pdf?subformat=pdfa
909 C O |o oai:pub.dzne.de:282578
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 7
|6 P:(DE-2719)9001539
913 1 _ |a DE-HGF
|b Gesundheit
|l Neurodegenerative Diseases
|1 G:(DE-HGF)POF4-350
|0 G:(DE-HGF)POF4-352
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Disease Mechanisms
|x 0
914 1 _ |y 2025
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2025-01-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2025-01-02
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2024-04-10T15:36:04Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2024-04-10T15:36:04Z
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2025-01-02
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2025-01-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2025-01-02
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Peer review
|d 2024-04-10T15:36:04Z
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|d 2025-01-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2025-01-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1110
|2 StatID
|b Current Contents - Clinical Medicine
|d 2025-01-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2025-01-02
920 1 _ |0 I:(DE-2719)1110007
|k AG Haass
|l Molecular Neurodegeneration
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-2719)1110007
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21