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Medical physics challenges in clinical MR-guided radiotherapy
The integration of magnetic resonance imaging (MRI) for guidance in external beam radiotherapy has faced significant research and development efforts in recent years. The current availability of linear accelerators with an embedded MRI unit, providing volumetric imaging at excellent soft tissue cont...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7201982/ https://www.ncbi.nlm.nih.gov/pubmed/32370788 http://dx.doi.org/10.1186/s13014-020-01524-4 |
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author | Kurz, Christopher Buizza, Giulia Landry, Guillaume Kamp, Florian Rabe, Moritz Paganelli, Chiara Baroni, Guido Reiner, Michael Keall, Paul J. van den Berg, Cornelis A. T. Riboldi, Marco |
author_facet | Kurz, Christopher Buizza, Giulia Landry, Guillaume Kamp, Florian Rabe, Moritz Paganelli, Chiara Baroni, Guido Reiner, Michael Keall, Paul J. van den Berg, Cornelis A. T. Riboldi, Marco |
author_sort | Kurz, Christopher |
collection | PubMed |
description | The integration of magnetic resonance imaging (MRI) for guidance in external beam radiotherapy has faced significant research and development efforts in recent years. The current availability of linear accelerators with an embedded MRI unit, providing volumetric imaging at excellent soft tissue contrast, is expected to provide novel possibilities in the implementation of image-guided adaptive radiotherapy (IGART) protocols. This study reviews open medical physics issues in MR-guided radiotherapy (MRgRT) implementation, with a focus on current approaches and on the potential for innovation in IGART. Daily imaging in MRgRT provides the ability to visualize the static anatomy, to capture internal tumor motion and to extract quantitative image features for treatment verification and monitoring. Those capabilities enable the use of treatment adaptation, with potential benefits in terms of personalized medicine. The use of online MRI requires dedicated efforts to perform accurate dose measurements and calculations, due to the presence of magnetic fields. Likewise, MRgRT requires dedicated quality assurance (QA) protocols for safe clinical implementation. Reaction to anatomical changes in MRgRT, as visualized on daily images, demands for treatment adaptation concepts, with stringent requirements in terms of fast and accurate validation before the treatment fraction can be delivered. This entails specific challenges in terms of treatment workflow optimization, QA, and verification of the expected delivered dose while the patient is in treatment position. Those challenges require specialized medical physics developments towards the aim of fully exploiting MRI capabilities. Conversely, the use of MRgRT allows for higher confidence in tumor targeting and organs-at-risk (OAR) sparing. The systematic use of MRgRT brings the possibility of leveraging IGART methods for the optimization of tumor targeting and quantitative treatment verification. Although several challenges exist, the intrinsic benefits of MRgRT will provide a deeper understanding of dose delivery effects on an individual basis, with the potential for further treatment personalization. |
format | Online Article Text |
id | pubmed-7201982 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-72019822020-05-09 Medical physics challenges in clinical MR-guided radiotherapy Kurz, Christopher Buizza, Giulia Landry, Guillaume Kamp, Florian Rabe, Moritz Paganelli, Chiara Baroni, Guido Reiner, Michael Keall, Paul J. van den Berg, Cornelis A. T. Riboldi, Marco Radiat Oncol Review The integration of magnetic resonance imaging (MRI) for guidance in external beam radiotherapy has faced significant research and development efforts in recent years. The current availability of linear accelerators with an embedded MRI unit, providing volumetric imaging at excellent soft tissue contrast, is expected to provide novel possibilities in the implementation of image-guided adaptive radiotherapy (IGART) protocols. This study reviews open medical physics issues in MR-guided radiotherapy (MRgRT) implementation, with a focus on current approaches and on the potential for innovation in IGART. Daily imaging in MRgRT provides the ability to visualize the static anatomy, to capture internal tumor motion and to extract quantitative image features for treatment verification and monitoring. Those capabilities enable the use of treatment adaptation, with potential benefits in terms of personalized medicine. The use of online MRI requires dedicated efforts to perform accurate dose measurements and calculations, due to the presence of magnetic fields. Likewise, MRgRT requires dedicated quality assurance (QA) protocols for safe clinical implementation. Reaction to anatomical changes in MRgRT, as visualized on daily images, demands for treatment adaptation concepts, with stringent requirements in terms of fast and accurate validation before the treatment fraction can be delivered. This entails specific challenges in terms of treatment workflow optimization, QA, and verification of the expected delivered dose while the patient is in treatment position. Those challenges require specialized medical physics developments towards the aim of fully exploiting MRI capabilities. Conversely, the use of MRgRT allows for higher confidence in tumor targeting and organs-at-risk (OAR) sparing. The systematic use of MRgRT brings the possibility of leveraging IGART methods for the optimization of tumor targeting and quantitative treatment verification. Although several challenges exist, the intrinsic benefits of MRgRT will provide a deeper understanding of dose delivery effects on an individual basis, with the potential for further treatment personalization. BioMed Central 2020-05-05 /pmc/articles/PMC7201982/ /pubmed/32370788 http://dx.doi.org/10.1186/s13014-020-01524-4 Text en © The Author(s) 2020 Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Review Kurz, Christopher Buizza, Giulia Landry, Guillaume Kamp, Florian Rabe, Moritz Paganelli, Chiara Baroni, Guido Reiner, Michael Keall, Paul J. van den Berg, Cornelis A. T. Riboldi, Marco Medical physics challenges in clinical MR-guided radiotherapy |
title | Medical physics challenges in clinical MR-guided radiotherapy |
title_full | Medical physics challenges in clinical MR-guided radiotherapy |
title_fullStr | Medical physics challenges in clinical MR-guided radiotherapy |
title_full_unstemmed | Medical physics challenges in clinical MR-guided radiotherapy |
title_short | Medical physics challenges in clinical MR-guided radiotherapy |
title_sort | medical physics challenges in clinical mr-guided radiotherapy |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7201982/ https://www.ncbi.nlm.nih.gov/pubmed/32370788 http://dx.doi.org/10.1186/s13014-020-01524-4 |
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