Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Somatic mutations associated with MRI-derived volumetric features in glioblastoma.

Neuroradiology - 1 Dec 2015

Gutman David A, Dunn William D, Grossmann Patrick, Cooper Lee A D, Holder Chad A, Ligon Keith L, Alexander Brian M, Aerts Hugo J W L

Abstract excerpt

INTRODUCTION: MR imaging can noninvasively visualize tumor phenotype characteristics at the macroscopic level. Here, we investigated whether somatic mutations are associated with and can be predicted by MRI-derived tumor imaging features of glioblastoma (GBM). METHODS: Seventy-six GBM patients we...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Brain Neoplasms
Share to Glioblastoma
Share to Imaging, Three-Dimensional

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Magnetic Resonance Imaging

Share to Neoplasm Proteins

Share to Reproducibility of Results

Share to Sensitivity and Specificity

Share to United States

Source

Open in PubMed Open full text

Identifiers

PMID: 26337765
DOI: 10.1007/s00234-015-1576-7
PMCID: PMC4648958

Genes

EGFR
PDGFRA

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026. Prepared record publication-26337765-2026-09-04.2. Manifest publication-graph-cohort-2026-09-04.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Somatic mutations associated with MRI-derived volumetric features in glioblastoma.PMID 26337765Read ↗

Imaging-genomics reveals driving pathways of MRI derived volumetric tumor phenotype features in Glioblastoma.Semantic proximity Read ↗

The Radiogenomic and Spatiogenomic Landscapes of Glioblastoma, and their Relationship to Oncogenic DriversSemantic proximity Read ↗

Radiogenomics of Glioblastoma: Machine Learning-based Classification of Molecular Characteristics by Using Multiparametric and Multiregional MR Imaging Features.Semantic proximity Read ↗

Radiogenomics and imaging phenotypes in glioblastoma: novel observations and correlation with molecular characteristics.Semantic proximity Read ↗

Distinct Radiomic Phenotypes Define Glioblastoma TP53-PTEN-EGFR Mutational LandscapeSemantic proximity Read ↗

Radiogenomics to characterize regional genetic heterogeneity in glioblastomaSemantic proximity Read ↗

Radiomic MRI signature reveals three distinct subtypes of glioblastoma with different clinical and molecular characteristics, offering prognostic value beyond IDH1Semantic proximity Read ↗

A Novel Volume-Age-KPS (VAK) Glioblastoma Classification Identifies a Prognostic Cognate microRNA-Gene SignatureSemantic proximity Read ↗

In vivo evaluation of EGFRvIII mutation in primary glioblastoma patients via complex multiparametric MRI signature.Semantic proximity Read ↗

Illuminating Radiogenomic Characteristics of Glioblastoma Multiforme through Integration of MR Imaging, Messenger RNA Expression, and DNA Copy Number VariationSemantic proximity Read ↗

The Relationship Between the Molecular Phenotypes of Brain Gliomas and the Imaging Features and Sensitivity of Radiotherapy and Chemotherapy.Semantic proximity Read ↗

Imaging signatures of glioblastoma molecular characteristics: A radiogenomics reviewSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.