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Identifying the mesenchymal molecular subtype of glioblastoma using quantitative volumetric analysis of anatomic magnetic resonance images.

Authors :
Naeini KM
Pope WB
Cloughesy TF
Harris RJ
Lai A
Eskin A
Chowdhury R
Phillips HS
Nghiemphu PL
Behbahanian Y
Ellingson BM
Source :
Neuro-oncology [Neuro Oncol] 2013 May; Vol. 15 (5), pp. 626-34. Date of Electronic Publication: 2013 Feb 26.
Publication Year :
2013

Abstract

Background: Subtypes of glioblastoma multiforme (GBM) based on genetic and molecular alterations are thought to cause alterations in anatomic MRI owing to downstream biological changes, such as edema production, blood-brain barrier breakdown, and necrosis. The purpose of the current study was to identify a potential relationship between imaging features and the mesenchymal (MES) GBM subtype, which has the worst patient prognosis.<br />Methods: MRIs from 46 patients with histologically confirmed GBM were retrospectively analyzed. The volume of contrast enhancement, regions of central necrosis, and hyperintensity of T2/fluid attenuated inversion recovery (FLAIR) were measured. Additionally, the ratio of T2/FLAIR hyperintense volume to the volume of contrast enhancement and necrosis was calculated.<br />Results: The volume of contrast enhancement, volume of central necrosis, combined volume of contrast enhancement and central necrosis, and the ratio of T2/FLAIR to contrast enhancement and necrosis were significantly different in MES compared with non-MES GBM (Mann-Whitney, P < .05). Receiver-operator characteristics indicated that these 4 metrics were all significant predictors of the MES phenotype. The volume ratio of T2 hyperintensity to contrast enhancement and central necrosis was significantly lower in MES vs non-MES GBM (P < .0001), was a significant predictor of the MES phenotype (area under the curve = 0.93, P < .001), and could be used to stratify short- and long-term overall survival (log-rank, P = .0064 using cutoff of 3.0). These trends were also present when excluding isocitrate dehydrogenase 1 mutant tumors and incorporating covariates such as age and KPS score.<br />Conclusions: Results suggest that volume ratio may be a simple, cost-effective, and noninvasive biomarker for quickly identifying MES GBM.

Details

Language :
English
ISSN :
1523-5866
Volume :
15
Issue :
5
Database :
MEDLINE
Journal :
Neuro-oncology
Publication Type :
Academic Journal
Accession number :
23444259
Full Text :
https://doi.org/10.1093/neuonc/not008