Comprehensive Imaging Characterization of Colorectal Liver Metastases
Authors: Maclean, D., Tsakok, M., Gleeson, F., Breen, D.J., Goldin, R., Primrose, J., Harris, A. and Franklin, J.
Journal: Frontiers in Oncology
Volume: 11
eISSN: 2234-943X
DOI: 10.3389/fonc.2021.730854
Abstract:Colorectal liver metastases (CRLM) have heterogenous histopathological and immunohistochemical phenotypes, which are associated with variable responses to treatment and outcomes. However, this information is usually only available after resection, and therefore of limited value in treatment planning. Improved techniques for in vivo disease assessment, which can characterise the variable tumour biology, would support further personalization of management strategies. Advanced imaging of CRLM including multiparametric MRI and functional imaging techniques have the potential to provide clinically-actionable phenotypic characterisation. This includes assessment of the tumour-liver interface, internal tumour components and treatment response. Advanced analysis techniques, including radiomics and machine learning now have a growing role in assessment of imaging, providing high-dimensional imaging feature extraction which can be linked to clinical relevant tumour phenotypes, such as a the Consensus Molecular Subtypes (CMS). In this review, we outline how imaging techniques could reproducibly characterize the histopathological features of CRLM, with several matched imaging and histology examples to illustrate these features, and discuss the oncological relevance of these features. Finally, we discuss the future challenges and opportunities of CRLM imaging, with a focus on the potential value of advanced analytics including radiomics and artificial intelligence, to help inform future research in this rapidly moving field.
https://eprints.bournemouth.ac.uk/36470/
Source: Scopus
Comprehensive Imaging Characterization of Colorectal Liver Metastases.
Authors: Maclean, D., Tsakok, M., Gleeson, F., Breen, D.J., Goldin, R., Primrose, J., Harris, A. and Franklin, J.
Journal: Front Oncol
Volume: 11
Pages: 730854
ISSN: 2234-943X
DOI: 10.3389/fonc.2021.730854
Abstract:Colorectal liver metastases (CRLM) have heterogenous histopathological and immunohistochemical phenotypes, which are associated with variable responses to treatment and outcomes. However, this information is usually only available after resection, and therefore of limited value in treatment planning. Improved techniques for in vivo disease assessment, which can characterise the variable tumour biology, would support further personalization of management strategies. Advanced imaging of CRLM including multiparametric MRI and functional imaging techniques have the potential to provide clinically-actionable phenotypic characterisation. This includes assessment of the tumour-liver interface, internal tumour components and treatment response. Advanced analysis techniques, including radiomics and machine learning now have a growing role in assessment of imaging, providing high-dimensional imaging feature extraction which can be linked to clinical relevant tumour phenotypes, such as a the Consensus Molecular Subtypes (CMS). In this review, we outline how imaging techniques could reproducibly characterize the histopathological features of CRLM, with several matched imaging and histology examples to illustrate these features, and discuss the oncological relevance of these features. Finally, we discuss the future challenges and opportunities of CRLM imaging, with a focus on the potential value of advanced analytics including radiomics and artificial intelligence, to help inform future research in this rapidly moving field.
https://eprints.bournemouth.ac.uk/36470/
Source: PubMed
Comprehensive Imaging Characterization of Colorectal Liver Metastases
Authors: Maclean, D., Tsakok, M., Gleeson, F., Breen, D.J., Goldin, R., Primrose, J., Harris, A. and Franklin, J.
Journal: FRONTIERS IN ONCOLOGY
Volume: 11
ISSN: 2234-943X
DOI: 10.3389/fonc.2021.730854
https://eprints.bournemouth.ac.uk/36470/
Source: Web of Science (Lite)
Comprehensive Imaging Characterization of Colorectal Liver Metastases.
Authors: Maclean, D., Tsakok, M., Gleeson, F., Breen, D.J., Goldin, R., Primrose, J., Harris, A. and Franklin, J.
Journal: Frontiers in oncology
Volume: 11
Pages: 730854
eISSN: 2234-943X
ISSN: 2234-943X
DOI: 10.3389/fonc.2021.730854
Abstract:Colorectal liver metastases (CRLM) have heterogenous histopathological and immunohistochemical phenotypes, which are associated with variable responses to treatment and outcomes. However, this information is usually only available after resection, and therefore of limited value in treatment planning. Improved techniques for in vivo disease assessment, which can characterise the variable tumour biology, would support further personalization of management strategies. Advanced imaging of CRLM including multiparametric MRI and functional imaging techniques have the potential to provide clinically-actionable phenotypic characterisation. This includes assessment of the tumour-liver interface, internal tumour components and treatment response. Advanced analysis techniques, including radiomics and machine learning now have a growing role in assessment of imaging, providing high-dimensional imaging feature extraction which can be linked to clinical relevant tumour phenotypes, such as a the Consensus Molecular Subtypes (CMS). In this review, we outline how imaging techniques could reproducibly characterize the histopathological features of CRLM, with several matched imaging and histology examples to illustrate these features, and discuss the oncological relevance of these features. Finally, we discuss the future challenges and opportunities of CRLM imaging, with a focus on the potential value of advanced analytics including radiomics and artificial intelligence, to help inform future research in this rapidly moving field.
https://eprints.bournemouth.ac.uk/36470/
Source: Europe PubMed Central
Comprehensive Imaging Characterization of Colorectal Liver Metastases
Authors: Maclean, D., Tsakok, M., Gleeson, F., Breen, D.J., Goldin, R., Primrose, J., Harris, A. and Franklin, J.
Journal: Frontiers in Oncology
Volume: 11
ISSN: 2234-943X
Abstract:Colorectal liver metastases (CRLM) have heterogenous histopathological and immunohistochemical phenotypes, which are associated with variable responses to treatment and outcomes. However, this information is usually only available after resection, and therefore of limited value in treatment planning. Improved techniques for in vivo disease assessment, which can characterise the variable tumour biology, would support further personalization of management strategies. Advanced imaging of CRLM including multiparametric MRI and functional imaging techniques have the potential to provide clinically-actionable phenotypic characterisation. This includes assessment of the tumour-liver interface, internal tumour components and treatment response. Advanced analysis techniques, including radiomics and machine learning now have a growing role in assessment of imaging, providing high-dimensional imaging feature extraction which can be linked to clinical relevant tumour phenotypes, such as a the Consensus Molecular Subtypes (CMS). In this review, we outline how imaging techniques could reproducibly characterize the histopathological features of CRLM, with several matched imaging and histology examples to illustrate these features, and discuss the oncological relevance of these features. Finally, we discuss the future challenges and opportunities of CRLM imaging, with a focus on the potential value of advanced analytics including radiomics and artificial intelligence, to help inform future research in this rapidly moving field.
https://eprints.bournemouth.ac.uk/36470/
Source: BURO EPrints