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A systematic review on the use of quantitative imaging to detect cancer therapy adverse effects in normal-appearing brain tissue

Cancer therapy for both central nervous system (CNS) and non-CNS tumors has been previously associated with transient and long-term cognitive deterioration, commonly referred to as ‘chemo fog’. This therapy-related damage to otherwise normal-appearing brain tissue is reported using post-mortem neuro...

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Autores principales: Petr, Jan, Hogeboom, Louise, Nikulin, Pavel, Wiegers, Evita, Schroyen, Gwen, Kallehauge, Jesper, Chmelík, Marek, Clement, Patricia, Nechifor, Ruben E., Fodor, Liviu-Andrei, De Witt Hamer, Philip C., Barkhof, Frederik, Pernet, Cyril, Lequin, Maarten, Deprez, Sabine, Jančálek, Radim, Mutsaerts, Henk J. M. M., Pizzini, Francesca B., Emblem, Kyrre E., Keil, Vera C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8901489/
https://www.ncbi.nlm.nih.gov/pubmed/34919195
http://dx.doi.org/10.1007/s10334-021-00985-2
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author Petr, Jan
Hogeboom, Louise
Nikulin, Pavel
Wiegers, Evita
Schroyen, Gwen
Kallehauge, Jesper
Chmelík, Marek
Clement, Patricia
Nechifor, Ruben E.
Fodor, Liviu-Andrei
De Witt Hamer, Philip C.
Barkhof, Frederik
Pernet, Cyril
Lequin, Maarten
Deprez, Sabine
Jančálek, Radim
Mutsaerts, Henk J. M. M.
Pizzini, Francesca B.
Emblem, Kyrre E.
Keil, Vera C.
author_facet Petr, Jan
Hogeboom, Louise
Nikulin, Pavel
Wiegers, Evita
Schroyen, Gwen
Kallehauge, Jesper
Chmelík, Marek
Clement, Patricia
Nechifor, Ruben E.
Fodor, Liviu-Andrei
De Witt Hamer, Philip C.
Barkhof, Frederik
Pernet, Cyril
Lequin, Maarten
Deprez, Sabine
Jančálek, Radim
Mutsaerts, Henk J. M. M.
Pizzini, Francesca B.
Emblem, Kyrre E.
Keil, Vera C.
author_sort Petr, Jan
collection PubMed
description Cancer therapy for both central nervous system (CNS) and non-CNS tumors has been previously associated with transient and long-term cognitive deterioration, commonly referred to as ‘chemo fog’. This therapy-related damage to otherwise normal-appearing brain tissue is reported using post-mortem neuropathological analysis. Although the literature on monitoring therapy effects on structural magnetic resonance imaging (MRI) is well established, such macroscopic structural changes appear relatively late and irreversible. Early quantitative MRI biomarkers of therapy-induced damage would potentially permit taking these treatment side effects into account, paving the way towards a more personalized treatment planning. This systematic review (PROSPERO number 224196) provides an overview of quantitative tomographic imaging methods, potentially identifying the adverse side effects of cancer therapy in normal-appearing brain tissue. Seventy studies were obtained from the MEDLINE and Web of Science databases. Studies reporting changes in normal-appearing brain tissue using MRI, PET, or SPECT quantitative biomarkers, related to radio-, chemo-, immuno-, or hormone therapy for any kind of solid, cystic, or liquid tumor were included. The main findings of the reviewed studies were summarized, providing also the risk of bias of each study assessed using a modified QUADAS-2 tool. For each imaging method, this review provides the methodological background, and the benefits and shortcomings of each method from the imaging perspective. Finally, a set of recommendations is proposed to support future research. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10334-021-00985-2.
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spelling pubmed-89014892022-03-15 A systematic review on the use of quantitative imaging to detect cancer therapy adverse effects in normal-appearing brain tissue Petr, Jan Hogeboom, Louise Nikulin, Pavel Wiegers, Evita Schroyen, Gwen Kallehauge, Jesper Chmelík, Marek Clement, Patricia Nechifor, Ruben E. Fodor, Liviu-Andrei De Witt Hamer, Philip C. Barkhof, Frederik Pernet, Cyril Lequin, Maarten Deprez, Sabine Jančálek, Radim Mutsaerts, Henk J. M. M. Pizzini, Francesca B. Emblem, Kyrre E. Keil, Vera C. MAGMA Review Cancer therapy for both central nervous system (CNS) and non-CNS tumors has been previously associated with transient and long-term cognitive deterioration, commonly referred to as ‘chemo fog’. This therapy-related damage to otherwise normal-appearing brain tissue is reported using post-mortem neuropathological analysis. Although the literature on monitoring therapy effects on structural magnetic resonance imaging (MRI) is well established, such macroscopic structural changes appear relatively late and irreversible. Early quantitative MRI biomarkers of therapy-induced damage would potentially permit taking these treatment side effects into account, paving the way towards a more personalized treatment planning. This systematic review (PROSPERO number 224196) provides an overview of quantitative tomographic imaging methods, potentially identifying the adverse side effects of cancer therapy in normal-appearing brain tissue. Seventy studies were obtained from the MEDLINE and Web of Science databases. Studies reporting changes in normal-appearing brain tissue using MRI, PET, or SPECT quantitative biomarkers, related to radio-, chemo-, immuno-, or hormone therapy for any kind of solid, cystic, or liquid tumor were included. The main findings of the reviewed studies were summarized, providing also the risk of bias of each study assessed using a modified QUADAS-2 tool. For each imaging method, this review provides the methodological background, and the benefits and shortcomings of each method from the imaging perspective. Finally, a set of recommendations is proposed to support future research. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10334-021-00985-2. Springer International Publishing 2021-12-17 2022 /pmc/articles/PMC8901489/ /pubmed/34919195 http://dx.doi.org/10.1007/s10334-021-00985-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review
Petr, Jan
Hogeboom, Louise
Nikulin, Pavel
Wiegers, Evita
Schroyen, Gwen
Kallehauge, Jesper
Chmelík, Marek
Clement, Patricia
Nechifor, Ruben E.
Fodor, Liviu-Andrei
De Witt Hamer, Philip C.
Barkhof, Frederik
Pernet, Cyril
Lequin, Maarten
Deprez, Sabine
Jančálek, Radim
Mutsaerts, Henk J. M. M.
Pizzini, Francesca B.
Emblem, Kyrre E.
Keil, Vera C.
A systematic review on the use of quantitative imaging to detect cancer therapy adverse effects in normal-appearing brain tissue
title A systematic review on the use of quantitative imaging to detect cancer therapy adverse effects in normal-appearing brain tissue
title_full A systematic review on the use of quantitative imaging to detect cancer therapy adverse effects in normal-appearing brain tissue
title_fullStr A systematic review on the use of quantitative imaging to detect cancer therapy adverse effects in normal-appearing brain tissue
title_full_unstemmed A systematic review on the use of quantitative imaging to detect cancer therapy adverse effects in normal-appearing brain tissue
title_short A systematic review on the use of quantitative imaging to detect cancer therapy adverse effects in normal-appearing brain tissue
title_sort systematic review on the use of quantitative imaging to detect cancer therapy adverse effects in normal-appearing brain tissue
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8901489/
https://www.ncbi.nlm.nih.gov/pubmed/34919195
http://dx.doi.org/10.1007/s10334-021-00985-2
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