Franklin, J.M., Sharma, R.A., Harris, A.L. and Gleeson, F.V., 2016. Imaging oligometastatic cancer before local treatment. Lancet Oncology, 17 (9), E406-E414.
Full text available as:
|
PDF
Franklin_Imaging_oligometastatic_cancer.pdf - Accepted Version Available under License Creative Commons Attribution Non-commercial. 255kB | |
Copyright to original material in this document is with the original owner(s). Access to this content through BURO is granted on condition that you use it only for research, scholarly or other non-commercial purposes. If you wish to use it for any other purposes, you must contact BU via BURO@bournemouth.ac.uk. Any third party copyright material in this document remains the property of its respective owner(s). BU grants no licence for further use of that third party material. |
DOI: 10.1016/S1470-2045(16)30277-7
Abstract
The term oligometastases is in common clinical use, but remains poorly defined. As novel treatment strategies widen the therapeutic window for patients defined as having oligometastatic cancer, improved biomarkers to reliably define patients who benefit from these treatments are needed. Multimodal imaging should be optimized to comprehensively assess the metastatic sites, disease burden and response to neoadjuvant treatment in each disease setting. These features will likely remain important prognostic biomarkers, and are critical in planning multidisciplinary treatment. There are opportunities to extract additional phenotypic information from conventional imaging, while novel imaging techniques can also image specific aspects of tumour biology. Imaging can both characterise and localise the phenotypic heterogeneity of multiple tumour sites. Novel approaches to existing imaging datasets, and correlation with tumour biology, will be important in realizing the potential of imaging to guide treatment in the oligometastatic setting. This article discusses the current status and future directions of imaging in patients with extracranial oligometastases.
Item Type: | Article |
---|---|
ISSN: | 1470-2045 |
Group: | Faculty of Health & Social Sciences |
ID Code: | 34606 |
Deposited By: | Symplectic RT2 |
Deposited On: | 05 Oct 2020 09:15 |
Last Modified: | 14 Mar 2022 14:24 |
Downloads
Downloads per month over past year
Repository Staff Only - |