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Lesion-Function Analysis from Multimodal Imaging and Normative Brain Atlases for Prediction of Cognitive Deficits in Glioma Patients

SIMPLE SUMMARY: This prospective cross-sectional study utilized standard structural MR imaging and amino acid PET in conjunction with brain atlases of gray matter functional regions and white matter tracts, and elastic registration techniques to estimate the influence of the type and location of tre...

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Autores principales: Kocher, Martin, Jockwitz, Christiane, Lohmann, Philipp, Stoffels, Gabriele, Filss, Christian, Mottaghy, Felix M., Ruge, Maximilian I., Weiss Lucas, Carolin, Goldbrunner, Roland, Shah, Nadim J., Fink, Gereon R., Galldiks, Norbert, Langen, Karl-Josef, Caspers, Svenja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8156090/
https://www.ncbi.nlm.nih.gov/pubmed/34069074
http://dx.doi.org/10.3390/cancers13102373
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author Kocher, Martin
Jockwitz, Christiane
Lohmann, Philipp
Stoffels, Gabriele
Filss, Christian
Mottaghy, Felix M.
Ruge, Maximilian I.
Weiss Lucas, Carolin
Goldbrunner, Roland
Shah, Nadim J.
Fink, Gereon R.
Galldiks, Norbert
Langen, Karl-Josef
Caspers, Svenja
author_facet Kocher, Martin
Jockwitz, Christiane
Lohmann, Philipp
Stoffels, Gabriele
Filss, Christian
Mottaghy, Felix M.
Ruge, Maximilian I.
Weiss Lucas, Carolin
Goldbrunner, Roland
Shah, Nadim J.
Fink, Gereon R.
Galldiks, Norbert
Langen, Karl-Josef
Caspers, Svenja
author_sort Kocher, Martin
collection PubMed
description SIMPLE SUMMARY: This prospective cross-sectional study utilized standard structural MR imaging and amino acid PET in conjunction with brain atlases of gray matter functional regions and white matter tracts, and elastic registration techniques to estimate the influence of the type and location of treatment-related brain damage or recurrent tumors on cognitive functioning in a group of well-doing WHO Grade III/IV glioma patients at follow-up after treatment. The negative impact of T2/FLAIR hyperintensities, supposed to be mainly caused by radiotherapy, on cognitive performance far exceeded that of surgical brain defects or recurrent tumors. The affection of functional nodes and fiber tracts of the left hemisphere and especially of the left temporal lobe by T2/FLAIR hyperintensities was highly correlated with verbal episodic memory dysfunction. These observations imply that radiotherapy for gliomas of the left hemisphere should be individually tailored by means of publicly available brain atlases and registration techniques. ABSTRACT: Cognitive deficits are common in glioma patients following multimodality therapy, but the relative impact of different types and locations of treatment-related brain damage and recurrent tumors on cognition is not well understood. In 121 WHO Grade III/IV glioma patients, structural MRI, O-(2-[18F]fluoroethyl)-L-tyrosine FET-PET, and neuropsychological testing were performed at a median interval of 14 months (range, 1–214 months) after therapy initiation. Resection cavities, T1-enhancing lesions, T2/FLAIR hyperintensities, and FET-PET positive tumor sites were semi-automatically segmented and elastically registered to a normative, resting state (RS) fMRI-based functional cortical network atlas and to the JHU atlas of white matter (WM) tracts, and their influence on cognitive test scores relative to a cohort of matched healthy subjects was assessed. T2/FLAIR hyperintensities presumably caused by radiation therapy covered more extensive brain areas than the other lesion types and significantly impaired cognitive performance in many domains when affecting left-hemispheric RS-nodes and WM-tracts as opposed to brain tissue damage caused by resection or recurrent tumors. Verbal episodic memory proved to be especially vulnerable to T2/FLAIR abnormalities affecting the nodes and tracts of the left temporal lobe. In order to improve radiotherapy planning, publicly available brain atlases, in conjunction with elastic registration techniques, should be used, similar to neuronavigation in neurosurgery.
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spelling pubmed-81560902021-05-28 Lesion-Function Analysis from Multimodal Imaging and Normative Brain Atlases for Prediction of Cognitive Deficits in Glioma Patients Kocher, Martin Jockwitz, Christiane Lohmann, Philipp Stoffels, Gabriele Filss, Christian Mottaghy, Felix M. Ruge, Maximilian I. Weiss Lucas, Carolin Goldbrunner, Roland Shah, Nadim J. Fink, Gereon R. Galldiks, Norbert Langen, Karl-Josef Caspers, Svenja Cancers (Basel) Article SIMPLE SUMMARY: This prospective cross-sectional study utilized standard structural MR imaging and amino acid PET in conjunction with brain atlases of gray matter functional regions and white matter tracts, and elastic registration techniques to estimate the influence of the type and location of treatment-related brain damage or recurrent tumors on cognitive functioning in a group of well-doing WHO Grade III/IV glioma patients at follow-up after treatment. The negative impact of T2/FLAIR hyperintensities, supposed to be mainly caused by radiotherapy, on cognitive performance far exceeded that of surgical brain defects or recurrent tumors. The affection of functional nodes and fiber tracts of the left hemisphere and especially of the left temporal lobe by T2/FLAIR hyperintensities was highly correlated with verbal episodic memory dysfunction. These observations imply that radiotherapy for gliomas of the left hemisphere should be individually tailored by means of publicly available brain atlases and registration techniques. ABSTRACT: Cognitive deficits are common in glioma patients following multimodality therapy, but the relative impact of different types and locations of treatment-related brain damage and recurrent tumors on cognition is not well understood. In 121 WHO Grade III/IV glioma patients, structural MRI, O-(2-[18F]fluoroethyl)-L-tyrosine FET-PET, and neuropsychological testing were performed at a median interval of 14 months (range, 1–214 months) after therapy initiation. Resection cavities, T1-enhancing lesions, T2/FLAIR hyperintensities, and FET-PET positive tumor sites were semi-automatically segmented and elastically registered to a normative, resting state (RS) fMRI-based functional cortical network atlas and to the JHU atlas of white matter (WM) tracts, and their influence on cognitive test scores relative to a cohort of matched healthy subjects was assessed. T2/FLAIR hyperintensities presumably caused by radiation therapy covered more extensive brain areas than the other lesion types and significantly impaired cognitive performance in many domains when affecting left-hemispheric RS-nodes and WM-tracts as opposed to brain tissue damage caused by resection or recurrent tumors. Verbal episodic memory proved to be especially vulnerable to T2/FLAIR abnormalities affecting the nodes and tracts of the left temporal lobe. In order to improve radiotherapy planning, publicly available brain atlases, in conjunction with elastic registration techniques, should be used, similar to neuronavigation in neurosurgery. MDPI 2021-05-14 /pmc/articles/PMC8156090/ /pubmed/34069074 http://dx.doi.org/10.3390/cancers13102373 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kocher, Martin
Jockwitz, Christiane
Lohmann, Philipp
Stoffels, Gabriele
Filss, Christian
Mottaghy, Felix M.
Ruge, Maximilian I.
Weiss Lucas, Carolin
Goldbrunner, Roland
Shah, Nadim J.
Fink, Gereon R.
Galldiks, Norbert
Langen, Karl-Josef
Caspers, Svenja
Lesion-Function Analysis from Multimodal Imaging and Normative Brain Atlases for Prediction of Cognitive Deficits in Glioma Patients
title Lesion-Function Analysis from Multimodal Imaging and Normative Brain Atlases for Prediction of Cognitive Deficits in Glioma Patients
title_full Lesion-Function Analysis from Multimodal Imaging and Normative Brain Atlases for Prediction of Cognitive Deficits in Glioma Patients
title_fullStr Lesion-Function Analysis from Multimodal Imaging and Normative Brain Atlases for Prediction of Cognitive Deficits in Glioma Patients
title_full_unstemmed Lesion-Function Analysis from Multimodal Imaging and Normative Brain Atlases for Prediction of Cognitive Deficits in Glioma Patients
title_short Lesion-Function Analysis from Multimodal Imaging and Normative Brain Atlases for Prediction of Cognitive Deficits in Glioma Patients
title_sort lesion-function analysis from multimodal imaging and normative brain atlases for prediction of cognitive deficits in glioma patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8156090/
https://www.ncbi.nlm.nih.gov/pubmed/34069074
http://dx.doi.org/10.3390/cancers13102373
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