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Identifying the mesenchymal molecular subtype of glioblastoma using quantitative volumetric analysis of anatomic magnetic resonance images.
- Source :
-
Neuro-oncology [Neuro Oncol] 2013 May; Vol. 15 (5), pp. 626-34. Date of Electronic Publication: 2013 Feb 26. - Publication Year :
- 2013
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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.
- Subjects :
- Brain Neoplasms classification
Brain Neoplasms drug therapy
Clinical Trials, Phase II as Topic
Follow-Up Studies
Glioblastoma classification
Glioblastoma drug therapy
Humans
Necrosis
Prognosis
Retrospective Studies
Tumor Burden
Biomarkers, Tumor analysis
Brain Neoplasms pathology
Contrast Media
Glioblastoma pathology
Magnetic Resonance Imaging
Mesoderm pathology
Subjects
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