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dc.contributor.authorNieder, Carsten
dc.contributor.authorMehta, Minesh P.
dc.contributor.authorGuckenberger, Matthias
dc.contributor.authorGaspar, Laurie E.
dc.contributor.authorRusthoven, Chad G.
dc.contributor.authorSahgal, Arjun
dc.contributor.authorGrosu, Anca L.
dc.contributor.authorDe Ruysscher, Dirk
dc.date.accessioned2022-03-30T10:58:49Z
dc.date.available2022-03-30T10:58:49Z
dc.date.issued2021-03-04
dc.description.abstractSurvival prediction models may serve as decision-support tools for clinicians who have to assign the right treatment to each patient, in a manner whereby harmful over- or undertreatment is avoided as much as possible. Current models differ regarding their components, the overall number of components and the weighting of individual components. Some of the components are easy to assess, such as age or primary tumor type. Others carry the risk of inter-assessor inconsistency and time-dependent variation. The present publication focuses on issues related to assessment of extracranial metastases and potential surrogates, e.g. blood biomarkers. It identifies areas of controversy and provides recommendations for future research projects, which may contribute to prognostic models with improved accuracy.en_US
dc.identifier.citationNieder, Mehta, Guckenberger, Gaspar, Rusthoven, Sahgal, Grosu, De Ruysscher. Assessment of extracranial metastatic disease in patients with brain metastases: How much effort is needed in the context of evolving survival prediction models?. Radiotherapy and Oncology. 2021;159:17-20en_US
dc.identifier.cristinIDFRIDAID 1903333
dc.identifier.doi10.1016/j.radonc.2021.02.038
dc.identifier.issn0167-8140
dc.identifier.issn1879-0887
dc.identifier.urihttps://hdl.handle.net/10037/24650
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.journalRadiotherapy and Oncology
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2021 The Author(s)en_US
dc.titleAssessment of extracranial metastatic disease in patients with brain metastases: How much effort is needed in the context of evolving survival prediction models?en_US
dc.type.versionacceptedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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