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Colorectal liver metastases patients prognostic assessment: prospects and limits of radiomics and radiogenomics
In this narrative review, we reported un up-to-date on the role of radiomics to assess prognostic features, which can impact on the liver metastases patient treatment choice. In the liver metastases patients, the possibility to assess mutational status (RAS or MSI), the tumor growth pattern and the...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10018963/ https://www.ncbi.nlm.nih.gov/pubmed/36927442 http://dx.doi.org/10.1186/s13027-023-00495-x |
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author | Granata, Vincenza Fusco, Roberta Setola, Sergio Venanzio Galdiero, Roberta Maggialetti, Nicola Patrone, Renato Ottaiano, Alessandro Nasti, Guglielmo Silvestro, Lucrezia Cassata, Antonio Grassi, Francesca Avallone, Antonio Izzo, Francesco Petrillo, Antonella |
author_facet | Granata, Vincenza Fusco, Roberta Setola, Sergio Venanzio Galdiero, Roberta Maggialetti, Nicola Patrone, Renato Ottaiano, Alessandro Nasti, Guglielmo Silvestro, Lucrezia Cassata, Antonio Grassi, Francesca Avallone, Antonio Izzo, Francesco Petrillo, Antonella |
author_sort | Granata, Vincenza |
collection | PubMed |
description | In this narrative review, we reported un up-to-date on the role of radiomics to assess prognostic features, which can impact on the liver metastases patient treatment choice. In the liver metastases patients, the possibility to assess mutational status (RAS or MSI), the tumor growth pattern and the histological subtype (NOS or mucinous) allows a better treatment selection to avoid unnecessary therapies. However, today, the detection of these features require an invasive approach. Recently, radiomics analysis application has improved rapidly, with a consequent growing interest in the oncological field. Radiomics analysis allows the textural characteristics assessment, which are correlated to biological data. This approach is captivating since it should allow to extract biological data from the radiological images, without invasive approach, so that to reduce costs and time, avoiding any risk for the patients. Several studies showed the ability of Radiomics to identify mutational status, tumor growth pattern and histological type in colorectal liver metastases. Although, radiomics analysis in a non-invasive and repeatable way, however features as the poor standardization and generalization of clinical studies results limit the translation of this analysis into clinical practice. Clear limits are data-quality control, reproducibility, repeatability, generalizability of results, and issues related to model overfitting. |
format | Online Article Text |
id | pubmed-10018963 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-100189632023-03-17 Colorectal liver metastases patients prognostic assessment: prospects and limits of radiomics and radiogenomics Granata, Vincenza Fusco, Roberta Setola, Sergio Venanzio Galdiero, Roberta Maggialetti, Nicola Patrone, Renato Ottaiano, Alessandro Nasti, Guglielmo Silvestro, Lucrezia Cassata, Antonio Grassi, Francesca Avallone, Antonio Izzo, Francesco Petrillo, Antonella Infect Agent Cancer Review In this narrative review, we reported un up-to-date on the role of radiomics to assess prognostic features, which can impact on the liver metastases patient treatment choice. In the liver metastases patients, the possibility to assess mutational status (RAS or MSI), the tumor growth pattern and the histological subtype (NOS or mucinous) allows a better treatment selection to avoid unnecessary therapies. However, today, the detection of these features require an invasive approach. Recently, radiomics analysis application has improved rapidly, with a consequent growing interest in the oncological field. Radiomics analysis allows the textural characteristics assessment, which are correlated to biological data. This approach is captivating since it should allow to extract biological data from the radiological images, without invasive approach, so that to reduce costs and time, avoiding any risk for the patients. Several studies showed the ability of Radiomics to identify mutational status, tumor growth pattern and histological type in colorectal liver metastases. Although, radiomics analysis in a non-invasive and repeatable way, however features as the poor standardization and generalization of clinical studies results limit the translation of this analysis into clinical practice. Clear limits are data-quality control, reproducibility, repeatability, generalizability of results, and issues related to model overfitting. BioMed Central 2023-03-16 /pmc/articles/PMC10018963/ /pubmed/36927442 http://dx.doi.org/10.1186/s13027-023-00495-x Text en © The Author(s) 2023, corrected publication 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Review Granata, Vincenza Fusco, Roberta Setola, Sergio Venanzio Galdiero, Roberta Maggialetti, Nicola Patrone, Renato Ottaiano, Alessandro Nasti, Guglielmo Silvestro, Lucrezia Cassata, Antonio Grassi, Francesca Avallone, Antonio Izzo, Francesco Petrillo, Antonella Colorectal liver metastases patients prognostic assessment: prospects and limits of radiomics and radiogenomics |
title | Colorectal liver metastases patients prognostic assessment: prospects and limits of radiomics and radiogenomics |
title_full | Colorectal liver metastases patients prognostic assessment: prospects and limits of radiomics and radiogenomics |
title_fullStr | Colorectal liver metastases patients prognostic assessment: prospects and limits of radiomics and radiogenomics |
title_full_unstemmed | Colorectal liver metastases patients prognostic assessment: prospects and limits of radiomics and radiogenomics |
title_short | Colorectal liver metastases patients prognostic assessment: prospects and limits of radiomics and radiogenomics |
title_sort | colorectal liver metastases patients prognostic assessment: prospects and limits of radiomics and radiogenomics |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10018963/ https://www.ncbi.nlm.nih.gov/pubmed/36927442 http://dx.doi.org/10.1186/s13027-023-00495-x |
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