Show simple item record

dc.contributor.authorHunt, A
dc.contributor.authorHansen, VN
dc.contributor.authorOelfke, U
dc.contributor.authorNill, S
dc.contributor.authorHafeez, S
dc.date.accessioned2018-09-25T10:24:17Z
dc.date.issued2018-11-01
dc.identifier.citationClinical oncology (Royal College of Radiologists (Great Britain)), 2018, 30 (11), pp. 711 - 719
dc.identifier.issn0936-6555
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/2853
dc.identifier.eissn1433-2981
dc.identifier.doi10.1016/j.clon.2018.08.001
dc.description.abstractAdaptive radiotherapy (ART) strategies systematically monitor variations in target and neighbouring structures to inform treatment-plan modification during radiotherapy. This is necessary because a single plan designed before treatment is insufficient to capture the actual dose delivered to the target and adjacent critical structures during the course of radiotherapy. Magnetic resonance imaging (MRI) provides superior soft-tissue image contrast over current standard X-ray-based technologies without additional radiation exposure. With integrated MRI and radiotherapy platforms permitting motion monitoring during treatment delivery, it is possible that adaption can be informed by real-time anatomical imaging. This allows greater treatment accuracy in terms of dose delivered to target with smaller, individualised treatment margins. The use of functional MRI sequences would permit ART to be informed by imaging biomarkers, so allowing both personalised geometric and biological adaption. In this review, we discuss ART solutions enabled by MRI guidance and its potential gains for our patients across tumour types.
dc.formatPrint-Electronic
dc.format.extent711 - 719
dc.languageeng
dc.language.isoeng
dc.publisherELSEVIER SCIENCE LONDON
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.subjectHumans
dc.subjectMagnetic Resonance Imaging
dc.subjectRadiotherapy, Computer-Assisted
dc.subjectRadiotherapy Planning, Computer-Assisted
dc.subjectRadiotherapy, Image-Guided
dc.titleAdaptive Radiotherapy Enabled by MRI Guidance.
dc.typeJournal Article
dcterms.dateAccepted2018-08-20
rioxxterms.versionofrecord10.1016/j.clon.2018.08.001
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0
rioxxterms.licenseref.startdate2018-11
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfClinical oncology (Royal College of Radiologists (Great Britain))
pubs.issue11
pubs.notesNo embargo
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Clinical Academic Radiotherapy (Huddart)
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Radiotherapy Physics Modelling
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Clinical Academic Radiotherapy (Huddart)
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Radiotherapy Physics Modelling
pubs.publication-statusPublished
pubs.volume30
pubs.embargo.termsNo embargo
icr.researchteamClinical Academic Radiotherapy (Huddart)
icr.researchteamRadiotherapy Physics Modelling
dc.contributor.icrauthorHunt, Arabella
dc.contributor.icrauthorNill, Simeon
dc.contributor.icrauthorHafeez, Shaista


Files in this item

Thumbnail

This item appears in the following collection(s)

Show simple item record

https://creativecommons.org/licenses/by/4.0
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by/4.0