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dc.contributor.authorGurney-Champion, Oliver J.
dc.contributor.authorMahmood, Faisal
dc.contributor.authorvan Schie, Marcel
dc.contributor.authorJulian, Robert
dc.contributor.authorGeorge, Ben
dc.contributor.authorPhilippens, Marielle E.P.
dc.contributor.authorvan der Heide, Uulke A.
dc.contributor.authorThorwarth, Daniela
dc.contributor.authorRedalen, Kathrine
dc.date.accessioned2021-02-09T14:25:14Z
dc.date.available2021-02-09T14:25:14Z
dc.date.created2020-04-22T19:56:08Z
dc.date.issued2020
dc.identifier.citationRadiotherapy and Oncology. 2020, 146 66-75.en_US
dc.identifier.issn0167-8140
dc.identifier.urihttps://hdl.handle.net/11250/2726970
dc.description.abstractQuantitative imaging biomarkers show great potential for use in radiotherapy. Quantitative images based on microscopic tissue properties and tissue function can be used to improve contouring of the radiotherapy targets. Furthermore, quantitative imaging biomarkers might be used to predict treatment response for several treatment regimens and hence be used as a tool for treatment stratification, either to determine which treatment modality is most promising or to determine patient-specific radiation dose. Finally, patient-specific radiation doses can be further tailored to a tissue/voxel specific radiation dose when quantitative imaging is used for dose painting. In this review, published standards, guidelines and recommendations on quantitative imaging assessment using CT, PET and MRI are discussed. Furthermore, critical issues regarding the use of quantitative imaging for radiation oncology purposes and resultant pending research topics are identified.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleQuantitative imaging for radiotherapy purposesen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber66-75en_US
dc.source.volume146en_US
dc.source.journalRadiotherapy and Oncologyen_US
dc.identifier.doi10.1016/j.radonc.2020.01.026
dc.identifier.cristin1807585
dc.description.localcodeThis is an open access article distributed under the terms of the Creative Commons CC-BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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