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Advanced MRI Protocols to Discriminate Glioma From Treatment Effects: State of the Art and Future Directions
In the follow-up treatment of high-grade gliomas (HGGs), differentiating true tumor progression from treatment-related effects, such as pseudoprogression and radiation necrosis, presents an ongoing clinical challenge. Conventional MRI with and without intravenous contrast serves as the clinical benc...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10365126/ https://www.ncbi.nlm.nih.gov/pubmed/37492687 http://dx.doi.org/10.3389/fradi.2022.809373 |
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author | Malik, Dania G. Rath, Tanya J. Urcuyo Acevedo, Javier C. Canoll, Peter D. Swanson, Kristin R. Boxerman, Jerrold L. Quarles, C. Chad Schmainda, Kathleen M. Burns, Terry C. Hu, Leland S. |
author_facet | Malik, Dania G. Rath, Tanya J. Urcuyo Acevedo, Javier C. Canoll, Peter D. Swanson, Kristin R. Boxerman, Jerrold L. Quarles, C. Chad Schmainda, Kathleen M. Burns, Terry C. Hu, Leland S. |
author_sort | Malik, Dania G. |
collection | PubMed |
description | In the follow-up treatment of high-grade gliomas (HGGs), differentiating true tumor progression from treatment-related effects, such as pseudoprogression and radiation necrosis, presents an ongoing clinical challenge. Conventional MRI with and without intravenous contrast serves as the clinical benchmark for the posttreatment surveillance imaging of HGG. However, many advanced imaging techniques have shown promise in helping better delineate the findings in indeterminate scenarios, as posttreatment effects can often mimic true tumor progression on conventional imaging. These challenges are further confounded by the histologic admixture that can commonly occur between tumor growth and treatment-related effects within the posttreatment bed. This review discusses the current practices in the surveillance imaging of HGG and the role of advanced imaging techniques, including perfusion MRI and metabolic MRI. |
format | Online Article Text |
id | pubmed-10365126 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103651262023-07-25 Advanced MRI Protocols to Discriminate Glioma From Treatment Effects: State of the Art and Future Directions Malik, Dania G. Rath, Tanya J. Urcuyo Acevedo, Javier C. Canoll, Peter D. Swanson, Kristin R. Boxerman, Jerrold L. Quarles, C. Chad Schmainda, Kathleen M. Burns, Terry C. Hu, Leland S. Front Radiol Radiology In the follow-up treatment of high-grade gliomas (HGGs), differentiating true tumor progression from treatment-related effects, such as pseudoprogression and radiation necrosis, presents an ongoing clinical challenge. Conventional MRI with and without intravenous contrast serves as the clinical benchmark for the posttreatment surveillance imaging of HGG. However, many advanced imaging techniques have shown promise in helping better delineate the findings in indeterminate scenarios, as posttreatment effects can often mimic true tumor progression on conventional imaging. These challenges are further confounded by the histologic admixture that can commonly occur between tumor growth and treatment-related effects within the posttreatment bed. This review discusses the current practices in the surveillance imaging of HGG and the role of advanced imaging techniques, including perfusion MRI and metabolic MRI. Frontiers Media S.A. 2022-04-15 /pmc/articles/PMC10365126/ /pubmed/37492687 http://dx.doi.org/10.3389/fradi.2022.809373 Text en Copyright © 2022 Malik, Rath, Urcuyo Acevedo, Canoll, Swanson, Boxerman, Quarles, Schmainda, Burns and Hu. https://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 | Radiology Malik, Dania G. Rath, Tanya J. Urcuyo Acevedo, Javier C. Canoll, Peter D. Swanson, Kristin R. Boxerman, Jerrold L. Quarles, C. Chad Schmainda, Kathleen M. Burns, Terry C. Hu, Leland S. Advanced MRI Protocols to Discriminate Glioma From Treatment Effects: State of the Art and Future Directions |
title | Advanced MRI Protocols to Discriminate Glioma From Treatment Effects: State of the Art and Future Directions |
title_full | Advanced MRI Protocols to Discriminate Glioma From Treatment Effects: State of the Art and Future Directions |
title_fullStr | Advanced MRI Protocols to Discriminate Glioma From Treatment Effects: State of the Art and Future Directions |
title_full_unstemmed | Advanced MRI Protocols to Discriminate Glioma From Treatment Effects: State of the Art and Future Directions |
title_short | Advanced MRI Protocols to Discriminate Glioma From Treatment Effects: State of the Art and Future Directions |
title_sort | advanced mri protocols to discriminate glioma from treatment effects: state of the art and future directions |
topic | Radiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10365126/ https://www.ncbi.nlm.nih.gov/pubmed/37492687 http://dx.doi.org/10.3389/fradi.2022.809373 |
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