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Role of MRI-based radiomics in locally advanced rectal cancer
Colorectal cancer is the third most common type of cancer, with high morbidity and mortality rates. In particular, locally advanced rectal cancer (LARC) is difficult to treat and has a high recurrence rate. Neoadjuvant chemoradiotherapy (NCRT) is one of the standard treatment programs of LARC. If th...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8717123/ https://www.ncbi.nlm.nih.gov/pubmed/34935061 http://dx.doi.org/10.3892/or.2021.8245 |
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author | Zhang, Siyu Yu, Mingrong Chen, Dan Li, Peidong Tang, Bin Li, Jie |
author_facet | Zhang, Siyu Yu, Mingrong Chen, Dan Li, Peidong Tang, Bin Li, Jie |
author_sort | Zhang, Siyu |
collection | PubMed |
description | Colorectal cancer is the third most common type of cancer, with high morbidity and mortality rates. In particular, locally advanced rectal cancer (LARC) is difficult to treat and has a high recurrence rate. Neoadjuvant chemoradiotherapy (NCRT) is one of the standard treatment programs of LARC. If the response to treatment and prognosis in patients with LARC can be predicted, it will guide clinical decision-making. Radiomics is characterized by the extraction of high-dimensional quantitative features from medical imaging data, followed by data analysis and model construction, which can be used for tumor diagnosis, staging, prediction of treatment response and prognosis. In recent years, a number of studies have assessed the role of radiomics in NCRT for LARC. MRI-based radiomics provides valuable data and is expected to become an imaging biomarker for predicting treatment response and prognosis. The potential of radiomics to guide personalized medicine is widely recognized; however, current limitations and challenges prevent its application to clinical decision-making. The present review summarizes the applications, limitations and prospects of MRI-based radiomics in LARC. |
format | Online Article Text |
id | pubmed-8717123 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-87171232022-01-03 Role of MRI-based radiomics in locally advanced rectal cancer Zhang, Siyu Yu, Mingrong Chen, Dan Li, Peidong Tang, Bin Li, Jie Oncol Rep Review Colorectal cancer is the third most common type of cancer, with high morbidity and mortality rates. In particular, locally advanced rectal cancer (LARC) is difficult to treat and has a high recurrence rate. Neoadjuvant chemoradiotherapy (NCRT) is one of the standard treatment programs of LARC. If the response to treatment and prognosis in patients with LARC can be predicted, it will guide clinical decision-making. Radiomics is characterized by the extraction of high-dimensional quantitative features from medical imaging data, followed by data analysis and model construction, which can be used for tumor diagnosis, staging, prediction of treatment response and prognosis. In recent years, a number of studies have assessed the role of radiomics in NCRT for LARC. MRI-based radiomics provides valuable data and is expected to become an imaging biomarker for predicting treatment response and prognosis. The potential of radiomics to guide personalized medicine is widely recognized; however, current limitations and challenges prevent its application to clinical decision-making. The present review summarizes the applications, limitations and prospects of MRI-based radiomics in LARC. D.A. Spandidos 2022-02 2021-12-21 /pmc/articles/PMC8717123/ /pubmed/34935061 http://dx.doi.org/10.3892/or.2021.8245 Text en Copyright: © Zhang et al. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Review Zhang, Siyu Yu, Mingrong Chen, Dan Li, Peidong Tang, Bin Li, Jie Role of MRI-based radiomics in locally advanced rectal cancer |
title | Role of MRI-based radiomics in locally advanced rectal cancer |
title_full | Role of MRI-based radiomics in locally advanced rectal cancer |
title_fullStr | Role of MRI-based radiomics in locally advanced rectal cancer |
title_full_unstemmed | Role of MRI-based radiomics in locally advanced rectal cancer |
title_short | Role of MRI-based radiomics in locally advanced rectal cancer |
title_sort | role of mri-based radiomics in locally advanced rectal cancer |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8717123/ https://www.ncbi.nlm.nih.gov/pubmed/34935061 http://dx.doi.org/10.3892/or.2021.8245 |
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