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Leakage decrease detected by dynamic susceptibility-weighted contrast-enhanced perfusion MRI predicts survival in recurrent glioblastoma treated with bevacizumab

dc.contributor.authorHilario Barrio, Amaya
dc.contributor.authorSepulveda, J.M.
dc.contributor.authorHernández Laín, Aurelio
dc.contributor.authorSalvador Álvarez, Elena
dc.contributor.authorKoren, L.
dc.contributor.authorManneh, R.
dc.contributor.authorRuano, Y.
dc.contributor.authorPérez Núñez, Ángel
dc.contributor.authorLagares Gómez-Abascal, Alfonso
dc.contributor.authorRamos González, Ana
dc.date.accessioned2025-01-29T07:53:50Z
dc.date.available2025-01-29T07:53:50Z
dc.date.issued2017-01
dc.description.abstractBackground and purpose: In glioblastoma, tumor progression appears to be triggered by expression of VEGF, a regulator of blood vessel permeability. Bevacizumab is a monoclonal antibody that inhibits angiogenesis by clearing circulating VEGF, resulting in a decline in the contrast-enhancing tumor, which does not always correlate with treatment response. Our objectives were: (1) to evaluate whether changes in DSC perfusion MRI-derived leakage could predict survival in recurrent glioblastoma, and (2) to estimate whether leakage at baseline was related to treatment outcome. Materials and methods: We retrospectively analyzed DSC perfusion MRI in 24 recurrent glioblastomas treated with bevacizumab as second line chemotherapy. Leakage at baseline and changes in maximum leakage between baseline and the first follow-up after treatment were selected for quantitative analysis. Survival univariate analysis was made constructing survival curves using Kaplan-Meier method and comparing subgroups by log rank probability test. Results: Leakage reduction at 8 weeks after initiation of bevacizumab treatment had a significant influence on overall survival (OS) and progression-free survival (PFS). Median OS and PFS were 2.4 and 2.8 months longer for patients with leakage reduction at the first follow-up. Higher leakage at baseline was associated with leakage reduction after treatment. Odds ratio of treatment response was 9 for patients with maximum leakage at baseline >5. Conclusions: Leakage decrease may predict OS and PFS in recurrent glioblastomas treated with bevacizumab. Leakage reduction postulates as a potential biomarker for treatment response evaluation. Leakage at baseline seems to predict response to treatment, but was not independently associated with survival.
dc.description.departmentDepto. de Radiología, Rehabilitación y Fisioterapia
dc.description.facultyFac. de Medicina
dc.description.refereedTRUE
dc.description.sponsorshipInstituto de Salud Carlos III
dc.description.sponsorshipMinisterio de Economía y Competitividad (España)
dc.description.statuspub
dc.identifier.citationHilario A, Sepulveda JM, Hernandez-Lain A, Salvador E, Koren L, Manneh R, Ruano Y, Perez-Nuñez A, Lagares A, Ramos A. Leakage decrease detected by dynamic susceptibility-weighted contrast-enhanced perfusion MRI predicts survival in recurrent glioblastoma treated with bevacizumab. Clin Transl Oncol. 2017 Jan;19(1):51-57
dc.identifier.doi10.1007/s12094-016-1502-4
dc.identifier.essn1699-048X
dc.identifier.issn1699-3055
dc.identifier.officialurlhttps://doi.org/10.1007/s12094-016-1502-4
dc.identifier.pmid27026567
dc.identifier.relatedurlhttps://link.springer.com/article/10.1007/s12094-016-1502-4#citeas
dc.identifier.urihttps://hdl.handle.net/20.500.14352/116736
dc.issue.number1
dc.journal.titleClinical and Translational Oncology
dc.language.isoeng
dc.page.final57
dc.page.initial51
dc.publisherSpringer Nature
dc.relation.projectIDFIS-PI 13/01258
dc.rights.accessRightsrestricted access
dc.subject.cdu616-073.7
dc.subject.keywordglioma
dc.subject.keywordRM
dc.subject.keywordBevacizumab
dc.subject.ucmDiagnóstico por imagen y medicina nuclear
dc.subject.unesco3201.11 Radiología
dc.titleLeakage decrease detected by dynamic susceptibility-weighted contrast-enhanced perfusion MRI predicts survival in recurrent glioblastoma treated with bevacizumab
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number19
dspace.entity.typePublication
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relation.isAuthorOfPublication.latestForDiscovery15d90d79-5a00-4b7d-8e13-3186e61c249b

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