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Dose-dependent volume loss in subcortical deep grey matter structures after cranial radiotherapy

BACKGROUND AND PURPOSE: The relation between radiotherapy (RT) dose to the brain and morphological changes in healthy tissue has seen recent increased interest. There already is evidence for changes in the cerebral cortex and white matter, as well as selected subcortical grey matter (GM) structures....

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Autores principales: Nagtegaal, Steven H.J., David, Szabolcs, Philippens, Marielle E.P., Snijders, Tom J., Leemans, Alexander, Verhoeff, Joost J.C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691672/
https://www.ncbi.nlm.nih.gov/pubmed/33294645
http://dx.doi.org/10.1016/j.ctro.2020.11.005
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author Nagtegaal, Steven H.J.
David, Szabolcs
Philippens, Marielle E.P.
Snijders, Tom J.
Leemans, Alexander
Verhoeff, Joost J.C.
author_facet Nagtegaal, Steven H.J.
David, Szabolcs
Philippens, Marielle E.P.
Snijders, Tom J.
Leemans, Alexander
Verhoeff, Joost J.C.
author_sort Nagtegaal, Steven H.J.
collection PubMed
description BACKGROUND AND PURPOSE: The relation between radiotherapy (RT) dose to the brain and morphological changes in healthy tissue has seen recent increased interest. There already is evidence for changes in the cerebral cortex and white matter, as well as selected subcortical grey matter (GM) structures. We studied this relation in all deep GM structures, to help understand the aetiology of post-RT neurocognitive symptoms. MATERIALS AND METHODS: We selected 31 patients treated with RT for grade II-IV glioma. Pre-RT and 1 year post-RT 3D T1-weighted MRIs were automatically segmented, and the changes in volume of the following structures were assessed: amygdala, nucleus accumbens, caudate nucleus, hippocampus, globus pallidus, putamen, and thalamus. The volumetric changes were related to the mean RT dose received by each structure. Hippocampal volumes were entered into a population-based nomogram to estimate hippocampal age. RESULTS: A significant relation between RT dose and volume loss was seen in all examined structures, except the caudate nucleus. The volume loss rates ranged from 0.16 to 1.37%/Gy, corresponding to 4.9–41.2% per 30 Gy. Hippocampal age, as derived from the nomogram, was seen to increase by a median of 11 years. CONCLUSION: Almost all subcortical GM structures are susceptible to radiation-induced volume loss, with higher volume loss being observed with increasing dose. Volume loss of these structures is associated with neurological deterioration, including cognitive decline, in neurodegenerative diseases. To support a causal relationship between radiation-induced deep GM loss and neurocognitive functioning in glioma patients, future studies are needed that directly correlate volumetrics to clinical outcomes.
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spelling pubmed-76916722020-12-07 Dose-dependent volume loss in subcortical deep grey matter structures after cranial radiotherapy Nagtegaal, Steven H.J. David, Szabolcs Philippens, Marielle E.P. Snijders, Tom J. Leemans, Alexander Verhoeff, Joost J.C. Clin Transl Radiat Oncol Article BACKGROUND AND PURPOSE: The relation between radiotherapy (RT) dose to the brain and morphological changes in healthy tissue has seen recent increased interest. There already is evidence for changes in the cerebral cortex and white matter, as well as selected subcortical grey matter (GM) structures. We studied this relation in all deep GM structures, to help understand the aetiology of post-RT neurocognitive symptoms. MATERIALS AND METHODS: We selected 31 patients treated with RT for grade II-IV glioma. Pre-RT and 1 year post-RT 3D T1-weighted MRIs were automatically segmented, and the changes in volume of the following structures were assessed: amygdala, nucleus accumbens, caudate nucleus, hippocampus, globus pallidus, putamen, and thalamus. The volumetric changes were related to the mean RT dose received by each structure. Hippocampal volumes were entered into a population-based nomogram to estimate hippocampal age. RESULTS: A significant relation between RT dose and volume loss was seen in all examined structures, except the caudate nucleus. The volume loss rates ranged from 0.16 to 1.37%/Gy, corresponding to 4.9–41.2% per 30 Gy. Hippocampal age, as derived from the nomogram, was seen to increase by a median of 11 years. CONCLUSION: Almost all subcortical GM structures are susceptible to radiation-induced volume loss, with higher volume loss being observed with increasing dose. Volume loss of these structures is associated with neurological deterioration, including cognitive decline, in neurodegenerative diseases. To support a causal relationship between radiation-induced deep GM loss and neurocognitive functioning in glioma patients, future studies are needed that directly correlate volumetrics to clinical outcomes. Elsevier 2020-11-15 /pmc/articles/PMC7691672/ /pubmed/33294645 http://dx.doi.org/10.1016/j.ctro.2020.11.005 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Nagtegaal, Steven H.J.
David, Szabolcs
Philippens, Marielle E.P.
Snijders, Tom J.
Leemans, Alexander
Verhoeff, Joost J.C.
Dose-dependent volume loss in subcortical deep grey matter structures after cranial radiotherapy
title Dose-dependent volume loss in subcortical deep grey matter structures after cranial radiotherapy
title_full Dose-dependent volume loss in subcortical deep grey matter structures after cranial radiotherapy
title_fullStr Dose-dependent volume loss in subcortical deep grey matter structures after cranial radiotherapy
title_full_unstemmed Dose-dependent volume loss in subcortical deep grey matter structures after cranial radiotherapy
title_short Dose-dependent volume loss in subcortical deep grey matter structures after cranial radiotherapy
title_sort dose-dependent volume loss in subcortical deep grey matter structures after cranial radiotherapy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691672/
https://www.ncbi.nlm.nih.gov/pubmed/33294645
http://dx.doi.org/10.1016/j.ctro.2020.11.005
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