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Radiomics/Radiogenomics in Lung Cancer: Basic Principles and Initial Clinical Results

SIMPLE SUMMARY: Radiogenomics is a promising new approach in cancer assessment, providing an evaluation of the molecular basis of imaging phenotypes after establishing associations between radiological features and molecular features at the genomic–transcriptomic–proteomic level. This review focuses...

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Autores principales: Anagnostopoulos, Athanasios K., Gaitanis, Anastasios, Gkiozos, Ioannis, Athanasiadis, Emmanouil I., Chatziioannou, Sofia N., Syrigos, Konstantinos N., Thanos, Dimitris, Chatziioannou, Achilles N., Papanikolaou, Nikolaos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8997041/
https://www.ncbi.nlm.nih.gov/pubmed/35406429
http://dx.doi.org/10.3390/cancers14071657
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author Anagnostopoulos, Athanasios K.
Gaitanis, Anastasios
Gkiozos, Ioannis
Athanasiadis, Emmanouil I.
Chatziioannou, Sofia N.
Syrigos, Konstantinos N.
Thanos, Dimitris
Chatziioannou, Achilles N.
Papanikolaou, Nikolaos
author_facet Anagnostopoulos, Athanasios K.
Gaitanis, Anastasios
Gkiozos, Ioannis
Athanasiadis, Emmanouil I.
Chatziioannou, Sofia N.
Syrigos, Konstantinos N.
Thanos, Dimitris
Chatziioannou, Achilles N.
Papanikolaou, Nikolaos
author_sort Anagnostopoulos, Athanasios K.
collection PubMed
description SIMPLE SUMMARY: Radiogenomics is a promising new approach in cancer assessment, providing an evaluation of the molecular basis of imaging phenotypes after establishing associations between radiological features and molecular features at the genomic–transcriptomic–proteomic level. This review focuses on describing key aspects of radiogenomics while discussing limitations of translatability to the clinic and possible solutions to these challenges, providing the clinician with an up-to-date handbook on how to use this new tool. ABSTRACT: Lung cancer is the leading cause of cancer-related deaths worldwide, and elucidation of its complicated pathobiology has been traditionally targeted by studies incorporating genomic as well other high-throughput approaches. Recently, a collection of methods used for cancer imaging, supplemented by quantitative aspects leading towards imaging biomarker assessment termed “radiomics”, has introduced a novel dimension in cancer research. Integration of genomics and radiomics approaches, where identifying the biological basis of imaging phenotypes is feasible due to the establishment of associations between molecular features at the genomic–transcriptomic–proteomic level and radiological features, has recently emerged termed radiogenomics. This review article aims to briefly describe the main aspects of radiogenomics, while discussing its basic limitations related to lung cancer clinical applications for clinicians, researchers and patients.
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spelling pubmed-89970412022-04-12 Radiomics/Radiogenomics in Lung Cancer: Basic Principles and Initial Clinical Results Anagnostopoulos, Athanasios K. Gaitanis, Anastasios Gkiozos, Ioannis Athanasiadis, Emmanouil I. Chatziioannou, Sofia N. Syrigos, Konstantinos N. Thanos, Dimitris Chatziioannou, Achilles N. Papanikolaou, Nikolaos Cancers (Basel) Review SIMPLE SUMMARY: Radiogenomics is a promising new approach in cancer assessment, providing an evaluation of the molecular basis of imaging phenotypes after establishing associations between radiological features and molecular features at the genomic–transcriptomic–proteomic level. This review focuses on describing key aspects of radiogenomics while discussing limitations of translatability to the clinic and possible solutions to these challenges, providing the clinician with an up-to-date handbook on how to use this new tool. ABSTRACT: Lung cancer is the leading cause of cancer-related deaths worldwide, and elucidation of its complicated pathobiology has been traditionally targeted by studies incorporating genomic as well other high-throughput approaches. Recently, a collection of methods used for cancer imaging, supplemented by quantitative aspects leading towards imaging biomarker assessment termed “radiomics”, has introduced a novel dimension in cancer research. Integration of genomics and radiomics approaches, where identifying the biological basis of imaging phenotypes is feasible due to the establishment of associations between molecular features at the genomic–transcriptomic–proteomic level and radiological features, has recently emerged termed radiogenomics. This review article aims to briefly describe the main aspects of radiogenomics, while discussing its basic limitations related to lung cancer clinical applications for clinicians, researchers and patients. MDPI 2022-03-25 /pmc/articles/PMC8997041/ /pubmed/35406429 http://dx.doi.org/10.3390/cancers14071657 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Anagnostopoulos, Athanasios K.
Gaitanis, Anastasios
Gkiozos, Ioannis
Athanasiadis, Emmanouil I.
Chatziioannou, Sofia N.
Syrigos, Konstantinos N.
Thanos, Dimitris
Chatziioannou, Achilles N.
Papanikolaou, Nikolaos
Radiomics/Radiogenomics in Lung Cancer: Basic Principles and Initial Clinical Results
title Radiomics/Radiogenomics in Lung Cancer: Basic Principles and Initial Clinical Results
title_full Radiomics/Radiogenomics in Lung Cancer: Basic Principles and Initial Clinical Results
title_fullStr Radiomics/Radiogenomics in Lung Cancer: Basic Principles and Initial Clinical Results
title_full_unstemmed Radiomics/Radiogenomics in Lung Cancer: Basic Principles and Initial Clinical Results
title_short Radiomics/Radiogenomics in Lung Cancer: Basic Principles and Initial Clinical Results
title_sort radiomics/radiogenomics in lung cancer: basic principles and initial clinical results
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8997041/
https://www.ncbi.nlm.nih.gov/pubmed/35406429
http://dx.doi.org/10.3390/cancers14071657
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