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Can Dynamic Contrast-Enhanced Magnetic Resonance Imaging Combined with Texture Analysis Differentiate Malignant Glioneuronal Tumors from Other Glioblastoma?

An interesting approach has been proposed to differentiate malignant glioneuronal tumors (MGNTs) as a subclass of the WHO grade III and IV malignant gliomas. MGNT histologically resemble any WHO grade III or IV glioma but have a different biological behavior, presenting a survival twice longer as WH...

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Autores principales: Eliat, Pierre-Antoine, Olivié, Damien, Saïkali, Stephan, Carsin, Béatrice, Saint-Jalmes, Hervé, de Certaines, Jacques D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3238409/
https://www.ncbi.nlm.nih.gov/pubmed/22203901
http://dx.doi.org/10.1155/2012/195176
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author Eliat, Pierre-Antoine
Olivié, Damien
Saïkali, Stephan
Carsin, Béatrice
Saint-Jalmes, Hervé
de Certaines, Jacques D.
author_facet Eliat, Pierre-Antoine
Olivié, Damien
Saïkali, Stephan
Carsin, Béatrice
Saint-Jalmes, Hervé
de Certaines, Jacques D.
author_sort Eliat, Pierre-Antoine
collection PubMed
description An interesting approach has been proposed to differentiate malignant glioneuronal tumors (MGNTs) as a subclass of the WHO grade III and IV malignant gliomas. MGNT histologically resemble any WHO grade III or IV glioma but have a different biological behavior, presenting a survival twice longer as WHO glioblastomas and a lower occurrence of metastases. However, neurofilament protein immunostaining was required for identification of MGNT. Using two complementary methods, dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and texture analysis (MRI-TA) from the same acquisition process, the challenge is to in vivo identify MGNT and demonstrate that MRI postprocessing could contribute to a better typing and grading of glioblastoma. Results are obtained on a preliminary group of 19 patients a posteriori selected for a blind investigation of DCE T1-weighted and TA at 1.5 T. The optimal classification (0/11 misclassified MGNT) is obtained by combining the two methods, DCE-MRI and MRI-TA.
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spelling pubmed-32384092011-12-27 Can Dynamic Contrast-Enhanced Magnetic Resonance Imaging Combined with Texture Analysis Differentiate Malignant Glioneuronal Tumors from Other Glioblastoma? Eliat, Pierre-Antoine Olivié, Damien Saïkali, Stephan Carsin, Béatrice Saint-Jalmes, Hervé de Certaines, Jacques D. Neurol Res Int Research Article An interesting approach has been proposed to differentiate malignant glioneuronal tumors (MGNTs) as a subclass of the WHO grade III and IV malignant gliomas. MGNT histologically resemble any WHO grade III or IV glioma but have a different biological behavior, presenting a survival twice longer as WHO glioblastomas and a lower occurrence of metastases. However, neurofilament protein immunostaining was required for identification of MGNT. Using two complementary methods, dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and texture analysis (MRI-TA) from the same acquisition process, the challenge is to in vivo identify MGNT and demonstrate that MRI postprocessing could contribute to a better typing and grading of glioblastoma. Results are obtained on a preliminary group of 19 patients a posteriori selected for a blind investigation of DCE T1-weighted and TA at 1.5 T. The optimal classification (0/11 misclassified MGNT) is obtained by combining the two methods, DCE-MRI and MRI-TA. Hindawi Publishing Corporation 2012 2011-12-01 /pmc/articles/PMC3238409/ /pubmed/22203901 http://dx.doi.org/10.1155/2012/195176 Text en Copyright © 2012 Pierre-Antoine Eliat et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Eliat, Pierre-Antoine
Olivié, Damien
Saïkali, Stephan
Carsin, Béatrice
Saint-Jalmes, Hervé
de Certaines, Jacques D.
Can Dynamic Contrast-Enhanced Magnetic Resonance Imaging Combined with Texture Analysis Differentiate Malignant Glioneuronal Tumors from Other Glioblastoma?
title Can Dynamic Contrast-Enhanced Magnetic Resonance Imaging Combined with Texture Analysis Differentiate Malignant Glioneuronal Tumors from Other Glioblastoma?
title_full Can Dynamic Contrast-Enhanced Magnetic Resonance Imaging Combined with Texture Analysis Differentiate Malignant Glioneuronal Tumors from Other Glioblastoma?
title_fullStr Can Dynamic Contrast-Enhanced Magnetic Resonance Imaging Combined with Texture Analysis Differentiate Malignant Glioneuronal Tumors from Other Glioblastoma?
title_full_unstemmed Can Dynamic Contrast-Enhanced Magnetic Resonance Imaging Combined with Texture Analysis Differentiate Malignant Glioneuronal Tumors from Other Glioblastoma?
title_short Can Dynamic Contrast-Enhanced Magnetic Resonance Imaging Combined with Texture Analysis Differentiate Malignant Glioneuronal Tumors from Other Glioblastoma?
title_sort can dynamic contrast-enhanced magnetic resonance imaging combined with texture analysis differentiate malignant glioneuronal tumors from other glioblastoma?
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3238409/
https://www.ncbi.nlm.nih.gov/pubmed/22203901
http://dx.doi.org/10.1155/2012/195176
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