A decade of radiomics research: are images really data or just patterns in the noise?

• Although radiomics is potentially a promising approach to analyze medical image data, many pitfalls need to be considered to avoid a reproducibility crisis. • There is a translation gap in radiomics research, with many studies being published but so far little to no translation into clinical pract...

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Detalles Bibliográficos
Autores principales: Pinto dos Santos, Daniel, Dietzel, Matthias, Baessler, Bettina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Editorial
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7755615/
https://www.ncbi.nlm.nih.gov/pubmed/32767103
http://dx.doi.org/10.1007/s00330-020-07108-w
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author Pinto dos Santos, Daniel
Dietzel, Matthias
Baessler, Bettina
author_facet Pinto dos Santos, Daniel
Dietzel, Matthias
Baessler, Bettina
author_sort Pinto dos Santos, Daniel
collection PubMed
description • Although radiomics is potentially a promising approach to analyze medical image data, many pitfalls need to be considered to avoid a reproducibility crisis. • There is a translation gap in radiomics research, with many studies being published but so far little to no translation into clinical practice. • Going forward, more studies with higher levels of evidence are needed, ideally also focusing on prospective studies with relevant clinical impact.
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spelling pubmed-77556152020-12-28 A decade of radiomics research: are images really data or just patterns in the noise? Pinto dos Santos, Daniel Dietzel, Matthias Baessler, Bettina Eur Radiol Editorial • Although radiomics is potentially a promising approach to analyze medical image data, many pitfalls need to be considered to avoid a reproducibility crisis. • There is a translation gap in radiomics research, with many studies being published but so far little to no translation into clinical practice. • Going forward, more studies with higher levels of evidence are needed, ideally also focusing on prospective studies with relevant clinical impact. Springer Berlin Heidelberg 2020-08-07 2021 /pmc/articles/PMC7755615/ /pubmed/32767103 http://dx.doi.org/10.1007/s00330-020-07108-w Text en © The Author(s) 2020 Open Access This 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/.
spellingShingle Editorial
Pinto dos Santos, Daniel
Dietzel, Matthias
Baessler, Bettina
A decade of radiomics research: are images really data or just patterns in the noise?
title A decade of radiomics research: are images really data or just patterns in the noise?
title_full A decade of radiomics research: are images really data or just patterns in the noise?
title_fullStr A decade of radiomics research: are images really data or just patterns in the noise?
title_full_unstemmed A decade of radiomics research: are images really data or just patterns in the noise?
title_short A decade of radiomics research: are images really data or just patterns in the noise?
title_sort decade of radiomics research: are images really data or just patterns in the noise?
topic Editorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7755615/
https://www.ncbi.nlm.nih.gov/pubmed/32767103
http://dx.doi.org/10.1007/s00330-020-07108-w
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