Cargando…
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...
Autores principales: | , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1783376112737320960 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6267603 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT adelialborz predictionofbraininvasioninpatientswithmeningiomasusingpreoperativemagneticresonanceimaging AT hesskatharina predictionofbraininvasioninpatientswithmeningiomasusingpreoperativemagneticresonanceimaging AT mawrinchristian predictionofbraininvasioninpatientswithmeningiomasusingpreoperativemagneticresonanceimaging AT streckerteileenmariasusanne predictionofbraininvasioninpatientswithmeningiomasusingpreoperativemagneticresonanceimaging AT stummerwalter predictionofbraininvasioninpatientswithmeningiomasusingpreoperativemagneticresonanceimaging AT pauluswerner predictionofbraininvasioninpatientswithmeningiomasusingpreoperativemagneticresonanceimaging AT kemmlingandre predictionofbraininvasioninpatientswithmeningiomasusingpreoperativemagneticresonanceimaging AT hollingmarkus predictionofbraininvasioninpatientswithmeningiomasusingpreoperativemagneticresonanceimaging AT heindelwalter predictionofbraininvasioninpatientswithmeningiomasusingpreoperativemagneticresonanceimaging AT schmidtrene predictionofbraininvasioninpatientswithmeningiomasusingpreoperativemagneticresonanceimaging AT spilledorotheecacilia predictionofbraininvasioninpatientswithmeningiomasusingpreoperativemagneticresonanceimaging AT spornspeterb predictionofbraininvasioninpatientswithmeningiomasusingpreoperativemagneticresonanceimaging AT brokinkelbenjamin predictionofbraininvasioninpatientswithmeningiomasusingpreoperativemagneticresonanceimaging |