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Neurology Research International
Volume 2012, Article ID 195176, 7 pages
http://dx.doi.org/10.1155/2012/195176
Research Article

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

1PRISM, IFR 140, Biogenouest, Université de Rennes 1, Campus de Villejean, 35043 Rennes, France
2LTSI, INSERM U642, Université de Rennes 1, 35000 Rennes, France
3Department of Radiology, CHU Rennes, 35000 Rennes, France
4Department of Neuropathology, CHU Rennes, 35000 Rennes, France
5Cancer Institute Eugène Marquis, 35000 Rennes, France

Received 2 July 2011; Accepted 29 August 2011

Academic Editor: Jonas Sheehan

Copyright © 2012 Pierre-Antoine Eliat et al. 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.

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.