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Radiogenomics and Radiomics in Liver Cancers
Radiogenomics is a computational discipline that identifies correlations between cross-sectional imaging features and tissue-based molecular data. These imaging phenotypic correlations can then potentially be used to longitudinally and non-invasively predict a tumor’s molecular profile. A different,...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6468592/ https://www.ncbi.nlm.nih.gov/pubmed/30591628 http://dx.doi.org/10.3390/diagnostics9010004 |
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author | Saini, Aman Breen, Ilana Pershad, Yash Naidu, Sailendra Knuttinen, M. Grace Alzubaidi, Sadeer Sheth, Rahul Albadawi, Hassan Kuo, Malia Oklu, Rahmi |
author_facet | Saini, Aman Breen, Ilana Pershad, Yash Naidu, Sailendra Knuttinen, M. Grace Alzubaidi, Sadeer Sheth, Rahul Albadawi, Hassan Kuo, Malia Oklu, Rahmi |
author_sort | Saini, Aman |
collection | PubMed |
description | Radiogenomics is a computational discipline that identifies correlations between cross-sectional imaging features and tissue-based molecular data. These imaging phenotypic correlations can then potentially be used to longitudinally and non-invasively predict a tumor’s molecular profile. A different, but related field termed radiomics examines the extraction of quantitative data from imaging data and the subsequent combination of these data with clinical information in an attempt to provide prognostic information and guide clinical decision making. Together, these fields represent the evolution of biomedical imaging from a descriptive, qualitative specialty to a predictive, quantitative discipline. It is anticipated that radiomics and radiogenomics will not only identify pathologic processes, but also unveil their underlying pathophysiological mechanisms through clinical imaging alone. Here, we review recent studies on radiogenomics and radiomics in liver cancers, including hepatocellular carcinoma, intrahepatic cholangiocarcinoma, and metastases to the liver. |
format | Online Article Text |
id | pubmed-6468592 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-64685922019-04-19 Radiogenomics and Radiomics in Liver Cancers Saini, Aman Breen, Ilana Pershad, Yash Naidu, Sailendra Knuttinen, M. Grace Alzubaidi, Sadeer Sheth, Rahul Albadawi, Hassan Kuo, Malia Oklu, Rahmi Diagnostics (Basel) Review Radiogenomics is a computational discipline that identifies correlations between cross-sectional imaging features and tissue-based molecular data. These imaging phenotypic correlations can then potentially be used to longitudinally and non-invasively predict a tumor’s molecular profile. A different, but related field termed radiomics examines the extraction of quantitative data from imaging data and the subsequent combination of these data with clinical information in an attempt to provide prognostic information and guide clinical decision making. Together, these fields represent the evolution of biomedical imaging from a descriptive, qualitative specialty to a predictive, quantitative discipline. It is anticipated that radiomics and radiogenomics will not only identify pathologic processes, but also unveil their underlying pathophysiological mechanisms through clinical imaging alone. Here, we review recent studies on radiogenomics and radiomics in liver cancers, including hepatocellular carcinoma, intrahepatic cholangiocarcinoma, and metastases to the liver. MDPI 2018-12-27 /pmc/articles/PMC6468592/ /pubmed/30591628 http://dx.doi.org/10.3390/diagnostics9010004 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Saini, Aman Breen, Ilana Pershad, Yash Naidu, Sailendra Knuttinen, M. Grace Alzubaidi, Sadeer Sheth, Rahul Albadawi, Hassan Kuo, Malia Oklu, Rahmi Radiogenomics and Radiomics in Liver Cancers |
title | Radiogenomics and Radiomics in Liver Cancers |
title_full | Radiogenomics and Radiomics in Liver Cancers |
title_fullStr | Radiogenomics and Radiomics in Liver Cancers |
title_full_unstemmed | Radiogenomics and Radiomics in Liver Cancers |
title_short | Radiogenomics and Radiomics in Liver Cancers |
title_sort | radiogenomics and radiomics in liver cancers |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6468592/ https://www.ncbi.nlm.nih.gov/pubmed/30591628 http://dx.doi.org/10.3390/diagnostics9010004 |
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