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Can dynamic contrast-enhanced magnetic resonance imaging combined with texture analysis differentiate malignant glioneuronal tumors from other glioblastoma?

Abstract : 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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https://www.hal.inserm.fr/inserm-00664035
Contributor : Lotfi Senhadji <>
Submitted on : Monday, January 30, 2012 - 8:56:21 PM
Last modification on : Thursday, May 28, 2020 - 7:34:03 PM

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Pierre-Antoine Eliat, Damien Olivié, Stephan Saïkali, Béatrice Carsin, Hervé Saint-Jalmes, et al.. Can dynamic contrast-enhanced magnetic resonance imaging combined with texture analysis differentiate malignant glioneuronal tumors from other glioblastoma?. Neurology Research International, 2012, 2012 (195176), pp.195176. ⟨10.1155/2012/195176⟩. ⟨inserm-00664035⟩

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