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Prediction of brain invasion in patients with meningiomas using preoperative magnetic resonance imaging

Brain invasion (BI) in meningiomas impacts WHO grading and therefore adjuvant treatment. However, BI is rare and neurosurgical sampling and neuropathological analyses are not standardised. Moreover, associations with imaging findings are sparsely known. Associations between BI and findings on preope...

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Autores principales: Adeli, Alborz, Hess, Katharina, Mawrin, Christian, Streckert, Eileen Maria Susanne, Stummer, Walter, Paulus, Werner, Kemmling, André, Holling, Markus, Heindel, Walter, Schmidt, Rene, Spille, Dorothee Cäcilia, Sporns, Peter B., Brokinkel, Benjamin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6267603/
https://www.ncbi.nlm.nih.gov/pubmed/30542511
http://dx.doi.org/10.18632/oncotarget.26313
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author Adeli, Alborz
Hess, Katharina
Mawrin, Christian
Streckert, Eileen Maria Susanne
Stummer, Walter
Paulus, Werner
Kemmling, André
Holling, Markus
Heindel, Walter
Schmidt, Rene
Spille, Dorothee Cäcilia
Sporns, Peter B.
Brokinkel, Benjamin
author_facet Adeli, Alborz
Hess, Katharina
Mawrin, Christian
Streckert, Eileen Maria Susanne
Stummer, Walter
Paulus, Werner
Kemmling, André
Holling, Markus
Heindel, Walter
Schmidt, Rene
Spille, Dorothee Cäcilia
Sporns, Peter B.
Brokinkel, Benjamin
author_sort Adeli, Alborz
collection PubMed
description Brain invasion (BI) in meningiomas impacts WHO grading and therefore adjuvant treatment. However, BI is rare and neurosurgical sampling and neuropathological analyses are not standardised. Moreover, associations with imaging findings are sparsely known. Associations between BI and findings on preoperative MRI were investigated in 617 meningioma patients. BI was strongly correlated with other high-grade criteria (p<.001). Presence of a contrast enhancing tumour capsule, disruption of the arachnoid layer, intratumoural calcifications and T2-intensity were not related to high-grade histology or BI (p>.05, each). High-grade histology (p=.033) but not BI (p=.354) was associated with tumour location. Irregular tumour shape (OR: 3.33, 95%CI 1.33-8.30; p=.007), heterogeneous contrast enhancement (OR: 2.82, 95%CI 1.19-6.70; p=.015) and peritumoural edema (OR: 1.005 per ccm, 95%CI 1.001-1.008); p=.011) were associated with BI. Multivariable analyses identified only increasing edema volume (OR: 1.005 per ccm, 95%CI 1.002-1.009; p=.010) as a predictor for BI, independent of other histopathological high-grade criteria. We finally provide a new model to estimate the risk of BI using routine preoperative MRI. Several imaging characteristics were identified as predictors for BI. Consideration in clinical routine can increase the accuracy of the detection in neuropathological analyses.
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spelling pubmed-62676032018-12-12 Prediction of brain invasion in patients with meningiomas using preoperative magnetic resonance imaging Adeli, Alborz Hess, Katharina Mawrin, Christian Streckert, Eileen Maria Susanne Stummer, Walter Paulus, Werner Kemmling, André Holling, Markus Heindel, Walter Schmidt, Rene Spille, Dorothee Cäcilia Sporns, Peter B. Brokinkel, Benjamin Oncotarget Research Paper Brain invasion (BI) in meningiomas impacts WHO grading and therefore adjuvant treatment. However, BI is rare and neurosurgical sampling and neuropathological analyses are not standardised. Moreover, associations with imaging findings are sparsely known. Associations between BI and findings on preoperative MRI were investigated in 617 meningioma patients. BI was strongly correlated with other high-grade criteria (p<.001). Presence of a contrast enhancing tumour capsule, disruption of the arachnoid layer, intratumoural calcifications and T2-intensity were not related to high-grade histology or BI (p>.05, each). High-grade histology (p=.033) but not BI (p=.354) was associated with tumour location. Irregular tumour shape (OR: 3.33, 95%CI 1.33-8.30; p=.007), heterogeneous contrast enhancement (OR: 2.82, 95%CI 1.19-6.70; p=.015) and peritumoural edema (OR: 1.005 per ccm, 95%CI 1.001-1.008); p=.011) were associated with BI. Multivariable analyses identified only increasing edema volume (OR: 1.005 per ccm, 95%CI 1.002-1.009; p=.010) as a predictor for BI, independent of other histopathological high-grade criteria. We finally provide a new model to estimate the risk of BI using routine preoperative MRI. Several imaging characteristics were identified as predictors for BI. Consideration in clinical routine can increase the accuracy of the detection in neuropathological analyses. Impact Journals LLC 2018-11-13 /pmc/articles/PMC6267603/ /pubmed/30542511 http://dx.doi.org/10.18632/oncotarget.26313 Text en Copyright: © 2018 Adeli et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Adeli, Alborz
Hess, Katharina
Mawrin, Christian
Streckert, Eileen Maria Susanne
Stummer, Walter
Paulus, Werner
Kemmling, André
Holling, Markus
Heindel, Walter
Schmidt, Rene
Spille, Dorothee Cäcilia
Sporns, Peter B.
Brokinkel, Benjamin
Prediction of brain invasion in patients with meningiomas using preoperative magnetic resonance imaging
title Prediction of brain invasion in patients with meningiomas using preoperative magnetic resonance imaging
title_full Prediction of brain invasion in patients with meningiomas using preoperative magnetic resonance imaging
title_fullStr Prediction of brain invasion in patients with meningiomas using preoperative magnetic resonance imaging
title_full_unstemmed Prediction of brain invasion in patients with meningiomas using preoperative magnetic resonance imaging
title_short Prediction of brain invasion in patients with meningiomas using preoperative magnetic resonance imaging
title_sort prediction of brain invasion in patients with meningiomas using preoperative magnetic resonance imaging
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6267603/
https://www.ncbi.nlm.nih.gov/pubmed/30542511
http://dx.doi.org/10.18632/oncotarget.26313
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