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Identifying the mesenchymal molecular subtype of glioblastoma using quantitative volumetric analysis of anatomic magnetic resonance images.
Naeini, Kourosh M; Pope, Whitney B; Cloughesy, Timothy F; Harris, Robert J; Lai, Albert; Eskin, Ascia; Chowdhury, Reshmi; Phillips, Heidi S; Nghiemphu, Phioanh L; Behbahanian, Yalda; Ellingson, Benjamin M.
Afiliação
  • Naeini KM; Department of Radiological Sciences, David Geffen School of Medicine, University of California­LosAngeles, Los Angeles, CA, USA.
Neuro Oncol ; 15(5): 626-34, 2013 May.
Article em En | MEDLINE | ID: mdl-23444259
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.

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.

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.

CONCLUSIONS:

Results suggest that volume ratio may be a simple, cost-effective, and noninvasive biomarker for quickly identifying MES GBM.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Imageamento por Ressonância Magnética / Biomarcadores Tumorais / Glioblastoma / Meios de Contraste / Mesoderma Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Neuro Oncol Assunto da revista: NEOPLASIAS / NEUROLOGIA Ano de publicação: 2013 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Imageamento por Ressonância Magnética / Biomarcadores Tumorais / Glioblastoma / Meios de Contraste / Mesoderma Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Neuro Oncol Assunto da revista: NEOPLASIAS / NEUROLOGIA Ano de publicação: 2013 Tipo de documento: Article País de afiliação: Estados Unidos