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dc.contributor.authordeSouza, NM
dc.contributor.authorTempany, CM
dc.date.accessioned2020-06-11T12:18:09Z
dc.date.issued2019-02-01
dc.identifier.citationInternational journal of cancer, 2019, 144 (3), pp. 422 - 430
dc.identifier.issn0020-7136
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/3721
dc.identifier.eissn1097-0215
dc.identifier.doi10.1002/ijc.31793
dc.description.abstractRecognition of <3 metastases in <2 organs, particularly in cancers with a known predisposition to oligometastatic disease (OMD) (colorectal, prostate, renal, sarcoma and lung), offers the opportunity to focally treat the lesions identified and confers a survival advantage. The reliability with which OMD is identified depends on the sensitivity of the imaging technique used for detection and may be predicted from phenotypic and genetic factors of the primary tumour, which determine metastatic risk. Whole-body or organ-specific imaging to identify oligometastases requires optimization to achieve maximal sensitivity. Metastatic lesions at multiple locations may require a variety of imaging modalities for best visualisation because the optimal image contrast is determined by tumour biology. Newer imaging techniques used for this purpose require validation. Additionally, rationalisation of imaging strategies is needed, particularly with regard to timing of imaging and follow-up studies. This article reviews the current evidence for the use of imaging for recognising OMD and proposes a risk-based roadmap for identifying patients with true OMD, or at risk of metastatic disease likely to be OM.
dc.formatPrint-Electronic
dc.format.extent422 - 430
dc.languageeng
dc.language.isoeng
dc.publisherWILEY
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.subjectHumans
dc.subjectNeoplasms
dc.subjectNeoplasm Metastasis
dc.subjectDiagnostic Imaging
dc.subjectAged, 80 and over
dc.subjectMale
dc.subjectWhole Body Imaging
dc.titleA risk-based approach to identifying oligometastatic disease on imaging.
dc.typeJournal Article
dcterms.dateAccepted2018-07-31
rioxxterms.versionofrecord10.1002/ijc.31793
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0
rioxxterms.licenseref.startdate2019-02
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfInternational journal of cancer
pubs.issue3
pubs.notesNot known
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/Magnetic Resonance
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/Magnetic Resonance
pubs.publication-statusPublished
pubs.volume144
pubs.embargo.termsNot known
icr.researchteamMagnetic Resonance
dc.contributor.icrauthordeSouza, Nandita


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