dc.contributor.author | deSouza, NM | |
dc.contributor.author | Tempany, CM | |
dc.date.accessioned | 2020-06-11T12:18:09Z | |
dc.date.issued | 2019-02-01 | |
dc.identifier.citation | International journal of cancer, 2019, 144 (3), pp. 422 - 430 | |
dc.identifier.issn | 0020-7136 | |
dc.identifier.uri | https://repository.icr.ac.uk/handle/internal/3721 | |
dc.identifier.eissn | 1097-0215 | |
dc.identifier.doi | 10.1002/ijc.31793 | |
dc.description.abstract | Recognition 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.format | Print-Electronic | |
dc.format.extent | 422 - 430 | |
dc.language | eng | |
dc.language.iso | eng | |
dc.publisher | WILEY | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0 | |
dc.subject | Humans | |
dc.subject | Neoplasms | |
dc.subject | Neoplasm Metastasis | |
dc.subject | Diagnostic Imaging | |
dc.subject | Aged, 80 and over | |
dc.subject | Male | |
dc.subject | Whole Body Imaging | |
dc.title | A risk-based approach to identifying oligometastatic disease on imaging. | |
dc.type | Journal Article | |
dcterms.dateAccepted | 2018-07-31 | |
rioxxterms.versionofrecord | 10.1002/ijc.31793 | |
rioxxterms.licenseref.uri | https://creativecommons.org/licenses/by/4.0 | |
rioxxterms.licenseref.startdate | 2019-02 | |
rioxxterms.type | Journal Article/Review | |
dc.relation.isPartOf | International journal of cancer | |
pubs.issue | 3 | |
pubs.notes | Not 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-status | Published | |
pubs.volume | 144 | |
pubs.embargo.terms | Not known | |
icr.researchteam | Magnetic Resonance | |
dc.contributor.icrauthor | deSouza, Nandita | |