4.6 Article

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

期刊

NEURO-ONCOLOGY
卷 15, 期 5, 页码 626-634

出版社

OXFORD UNIV PRESS INC
DOI: 10.1093/neuonc/not008

关键词

GBM; glioblastoma; IDH1; mesenchymal; molecular subtypes; MRI; radiogenomics

资金

  1. National Institutes of Health/National Cancer Institute [R21CA167354]
  2. UCLA Institute for Molecular Medicine Seed Grant
  3. UCLA Radiology Exploratory Research Grant
  4. University of California Cancer Research Coordinating Committee Grant
  5. ACRIN Young Investigator Initiative Grant
  6. Art of the Brain
  7. Ziering Family Foundation
  8. Singleton Family Foundation
  9. Clarence Klein Fund for Neuro-Oncology

向作者/读者索取更多资源

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

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据