Quantitative Magnetic Resonance Imaging for Biological Image-Guided Adaptive Radiotherapy

MRI-guided radiotherapy systems have the potential to bring two important concepts in modern radiotherapy together: adaptive radiotherapy and biological targeting. Based on frequent anatomical and functional imaging, monitoring the changes that occur in volume, shape as well as biological characteri...

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Autores principales: van Houdt, Petra J., Yang, Yingli, van der Heide, Uulke A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7878523/
https://www.ncbi.nlm.nih.gov/pubmed/33585242
http://dx.doi.org/10.3389/fonc.2020.615643
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author van Houdt, Petra J.
Yang, Yingli
van der Heide, Uulke A.
author_facet van Houdt, Petra J.
Yang, Yingli
van der Heide, Uulke A.
author_sort van Houdt, Petra J.
collection PubMed
description MRI-guided radiotherapy systems have the potential to bring two important concepts in modern radiotherapy together: adaptive radiotherapy and biological targeting. Based on frequent anatomical and functional imaging, monitoring the changes that occur in volume, shape as well as biological characteristics, a treatment plan can be updated regularly to accommodate the observed treatment response. For this purpose, quantitative imaging biomarkers need to be identified that show changes early during treatment and predict treatment outcome. This review provides an overview of the current evidence on quantitative MRI measurements during radiotherapy and their potential as an imaging biomarker on MRI-guided radiotherapy systems.
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spelling pubmed-78785232021-02-13 Quantitative Magnetic Resonance Imaging for Biological Image-Guided Adaptive Radiotherapy van Houdt, Petra J. Yang, Yingli van der Heide, Uulke A. Front Oncol Oncology MRI-guided radiotherapy systems have the potential to bring two important concepts in modern radiotherapy together: adaptive radiotherapy and biological targeting. Based on frequent anatomical and functional imaging, monitoring the changes that occur in volume, shape as well as biological characteristics, a treatment plan can be updated regularly to accommodate the observed treatment response. For this purpose, quantitative imaging biomarkers need to be identified that show changes early during treatment and predict treatment outcome. This review provides an overview of the current evidence on quantitative MRI measurements during radiotherapy and their potential as an imaging biomarker on MRI-guided radiotherapy systems. Frontiers Media S.A. 2021-01-29 /pmc/articles/PMC7878523/ /pubmed/33585242 http://dx.doi.org/10.3389/fonc.2020.615643 Text en Copyright © 2021 van Houdt, Yang and van der Heide 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). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
van Houdt, Petra J.
Yang, Yingli
van der Heide, Uulke A.
Quantitative Magnetic Resonance Imaging for Biological Image-Guided Adaptive Radiotherapy
title Quantitative Magnetic Resonance Imaging for Biological Image-Guided Adaptive Radiotherapy
title_full Quantitative Magnetic Resonance Imaging for Biological Image-Guided Adaptive Radiotherapy
title_fullStr Quantitative Magnetic Resonance Imaging for Biological Image-Guided Adaptive Radiotherapy
title_full_unstemmed Quantitative Magnetic Resonance Imaging for Biological Image-Guided Adaptive Radiotherapy
title_short Quantitative Magnetic Resonance Imaging for Biological Image-Guided Adaptive Radiotherapy
title_sort quantitative magnetic resonance imaging for biological image-guided adaptive radiotherapy
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7878523/
https://www.ncbi.nlm.nih.gov/pubmed/33585242
http://dx.doi.org/10.3389/fonc.2020.615643
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