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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Whioce Publishing Pte. Ltd.
2020
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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. |
format | Online Article Text |
id | pubmed-7837741 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Whioce Publishing Pte. Ltd. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT delapintacarolina radiomicsinlungcancerforoncologists AT barrioscamponuria radiomicsinlungcancerforoncologists AT sevillanodavid radiomicsinlungcancerforoncologists |