Cargando…
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...
Autores principales: | , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1783699356987162624 |
---|---|
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. |
format | Online Article Text |
id | pubmed-8156090 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT kochermartin lesionfunctionanalysisfrommultimodalimagingandnormativebrainatlasesforpredictionofcognitivedeficitsingliomapatients AT jockwitzchristiane lesionfunctionanalysisfrommultimodalimagingandnormativebrainatlasesforpredictionofcognitivedeficitsingliomapatients AT lohmannphilipp lesionfunctionanalysisfrommultimodalimagingandnormativebrainatlasesforpredictionofcognitivedeficitsingliomapatients AT stoffelsgabriele lesionfunctionanalysisfrommultimodalimagingandnormativebrainatlasesforpredictionofcognitivedeficitsingliomapatients AT filsschristian lesionfunctionanalysisfrommultimodalimagingandnormativebrainatlasesforpredictionofcognitivedeficitsingliomapatients AT mottaghyfelixm lesionfunctionanalysisfrommultimodalimagingandnormativebrainatlasesforpredictionofcognitivedeficitsingliomapatients AT rugemaximiliani lesionfunctionanalysisfrommultimodalimagingandnormativebrainatlasesforpredictionofcognitivedeficitsingliomapatients AT weisslucascarolin lesionfunctionanalysisfrommultimodalimagingandnormativebrainatlasesforpredictionofcognitivedeficitsingliomapatients AT goldbrunnerroland lesionfunctionanalysisfrommultimodalimagingandnormativebrainatlasesforpredictionofcognitivedeficitsingliomapatients AT shahnadimj lesionfunctionanalysisfrommultimodalimagingandnormativebrainatlasesforpredictionofcognitivedeficitsingliomapatients AT finkgereonr lesionfunctionanalysisfrommultimodalimagingandnormativebrainatlasesforpredictionofcognitivedeficitsingliomapatients AT galldiksnorbert lesionfunctionanalysisfrommultimodalimagingandnormativebrainatlasesforpredictionofcognitivedeficitsingliomapatients AT langenkarljosef lesionfunctionanalysisfrommultimodalimagingandnormativebrainatlasesforpredictionofcognitivedeficitsingliomapatients AT casperssvenja lesionfunctionanalysisfrommultimodalimagingandnormativebrainatlasesforpredictionofcognitivedeficitsingliomapatients |