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A risk‐based approach to identifying oligometastatic disease on imaging
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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6492106/ https://www.ncbi.nlm.nih.gov/pubmed/30098215 http://dx.doi.org/10.1002/ijc.31793 |
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author | deSouza, Nandita M Tempany, Clare M |
author_facet | deSouza, Nandita M Tempany, Clare M |
author_sort | deSouza, Nandita M |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6492106 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-64921062019-05-01 A risk‐based approach to identifying oligometastatic disease on imaging deSouza, Nandita M Tempany, Clare M Int J Cancer Mini Review 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. John Wiley & Sons, Inc. 2018-10-09 2019-02-01 /pmc/articles/PMC6492106/ /pubmed/30098215 http://dx.doi.org/10.1002/ijc.31793 Text en © 2018 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Mini Review deSouza, Nandita M Tempany, Clare M A risk‐based approach to identifying oligometastatic disease on imaging |
title | A risk‐based approach to identifying oligometastatic disease on imaging |
title_full | A risk‐based approach to identifying oligometastatic disease on imaging |
title_fullStr | A risk‐based approach to identifying oligometastatic disease on imaging |
title_full_unstemmed | A risk‐based approach to identifying oligometastatic disease on imaging |
title_short | A risk‐based approach to identifying oligometastatic disease on imaging |
title_sort | risk‐based approach to identifying oligometastatic disease on imaging |
topic | Mini Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6492106/ https://www.ncbi.nlm.nih.gov/pubmed/30098215 http://dx.doi.org/10.1002/ijc.31793 |
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