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Radiomics in lung cancer for oncologists

Radiomics has revolutionized the world of medical imaging. The aim of this review is to guide oncologists in radiomics and its applications in diagnosis, prediction of response and damage, prediction of survival, and prognosis in lung cancer. In this review, we analyzed published literature on PubMe...

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Detalles Bibliográficos
Autores principales: de la Pinta, Carolina, Barrios-Campo, Nuria, Sevillano, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Whioce Publishing Pte. Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7837741/
https://www.ncbi.nlm.nih.gov/pubmed/33521373
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author de la Pinta, Carolina
Barrios-Campo, Nuria
Sevillano, David
author_facet de la Pinta, Carolina
Barrios-Campo, Nuria
Sevillano, David
author_sort de la Pinta, Carolina
collection PubMed
description Radiomics has revolutionized the world of medical imaging. The aim of this review is to guide oncologists in radiomics and its applications in diagnosis, prediction of response and damage, prediction of survival, and prognosis in lung cancer. In this review, we analyzed published literature on PubMed and MEDLINE with papers published in the last 10 years. We included papers in English language with information about radiomics features and diagnostic, predictive, and prognosis of radiomics in lung cancer. All citations were evaluated for relevant content and validation. RELEVANCE FOR PATIENTS: The evolution of technology allows the development of computer algorithms that facilitate the diagnosis and evaluation of response after different oncological treatments and their non-invasive follow-up.
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spelling pubmed-78377412021-01-28 Radiomics in lung cancer for oncologists de la Pinta, Carolina Barrios-Campo, Nuria Sevillano, David J Clin Transl Res Special Issue Article Radiomics has revolutionized the world of medical imaging. The aim of this review is to guide oncologists in radiomics and its applications in diagnosis, prediction of response and damage, prediction of survival, and prognosis in lung cancer. In this review, we analyzed published literature on PubMed and MEDLINE with papers published in the last 10 years. We included papers in English language with information about radiomics features and diagnostic, predictive, and prognosis of radiomics in lung cancer. All citations were evaluated for relevant content and validation. RELEVANCE FOR PATIENTS: The evolution of technology allows the development of computer algorithms that facilitate the diagnosis and evaluation of response after different oncological treatments and their non-invasive follow-up. Whioce Publishing Pte. Ltd. 2020-09-02 /pmc/articles/PMC7837741/ /pubmed/33521373 Text en Copyright: © Whioce Publishing Pte. Ltd. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Special Issue Article
de la Pinta, Carolina
Barrios-Campo, Nuria
Sevillano, David
Radiomics in lung cancer for oncologists
title Radiomics in lung cancer for oncologists
title_full Radiomics in lung cancer for oncologists
title_fullStr Radiomics in lung cancer for oncologists
title_full_unstemmed Radiomics in lung cancer for oncologists
title_short Radiomics in lung cancer for oncologists
title_sort radiomics in lung cancer for oncologists
topic Special Issue Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7837741/
https://www.ncbi.nlm.nih.gov/pubmed/33521373
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