A review of radiomics and genomics applications in cancers: the way towards precision medicine

The application of radiogenomics in oncology has great prospects in precision medicine. Radiogenomics combines large volumes of radiomic features from medical digital images, genetic data from high-throughput sequencing, and clinical-epidemiological data into mathematical modelling. The amalgamation...

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Detalles Bibliográficos
Autores principales: Li, Simin, Zhou, Baosen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9801589/
https://www.ncbi.nlm.nih.gov/pubmed/36585716
http://dx.doi.org/10.1186/s13014-022-02192-2
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author Li, Simin
Zhou, Baosen
author_facet Li, Simin
Zhou, Baosen
author_sort Li, Simin
collection PubMed
description The application of radiogenomics in oncology has great prospects in precision medicine. Radiogenomics combines large volumes of radiomic features from medical digital images, genetic data from high-throughput sequencing, and clinical-epidemiological data into mathematical modelling. The amalgamation of radiomics and genomics provides an approach to better study the molecular mechanism of tumour pathogenesis, as well as new evidence-supporting strategies to identify the characteristics of cancer patients, make clinical decisions by predicting prognosis, and improve the development of individualized treatment guidance. In this review, we summarized recent research on radiogenomics applications in solid cancers and presented the challenges impeding the adoption of radiomics in clinical practice. More standard guidelines are required to normalize radiomics into reproducible and convincible analyses and develop it as a mature field.
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spelling pubmed-98015892022-12-31 A review of radiomics and genomics applications in cancers: the way towards precision medicine Li, Simin Zhou, Baosen Radiat Oncol Review The application of radiogenomics in oncology has great prospects in precision medicine. Radiogenomics combines large volumes of radiomic features from medical digital images, genetic data from high-throughput sequencing, and clinical-epidemiological data into mathematical modelling. The amalgamation of radiomics and genomics provides an approach to better study the molecular mechanism of tumour pathogenesis, as well as new evidence-supporting strategies to identify the characteristics of cancer patients, make clinical decisions by predicting prognosis, and improve the development of individualized treatment guidance. In this review, we summarized recent research on radiogenomics applications in solid cancers and presented the challenges impeding the adoption of radiomics in clinical practice. More standard guidelines are required to normalize radiomics into reproducible and convincible analyses and develop it as a mature field. BioMed Central 2022-12-30 /pmc/articles/PMC9801589/ /pubmed/36585716 http://dx.doi.org/10.1186/s13014-022-02192-2 Text en © The Author(s) 2022 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
Li, Simin
Zhou, Baosen
A review of radiomics and genomics applications in cancers: the way towards precision medicine
title A review of radiomics and genomics applications in cancers: the way towards precision medicine
title_full A review of radiomics and genomics applications in cancers: the way towards precision medicine
title_fullStr A review of radiomics and genomics applications in cancers: the way towards precision medicine
title_full_unstemmed A review of radiomics and genomics applications in cancers: the way towards precision medicine
title_short A review of radiomics and genomics applications in cancers: the way towards precision medicine
title_sort review of radiomics and genomics applications in cancers: the way towards precision medicine
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9801589/
https://www.ncbi.nlm.nih.gov/pubmed/36585716
http://dx.doi.org/10.1186/s13014-022-02192-2
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