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

Glioblastoma multiforme: exploratory radiogenomic analysis by using quantitative image features.

Radiology - 1 Oct 2014

Gevaert Olivier, Mitchell Lex A, Achrol Achal S, Xu Jiajing, Echegaray Sebastian, Steinberg Gary K, Cheshier Samuel H, Napel Sandy, Zaharchuk Greg, Plevritis Sylvia K

Abstract excerpt

PURPOSE: To derive quantitative image features from magnetic resonance (MR) images that characterize the radiographic phenotype of glioblastoma multiforme (GBM) lesions and to create radiogenomic maps associating these features with various molecular data. MATERIALS AND METHODS: Clinical, molecular, and MR imaging data for GBMs in 55 patients were obtained from the Cancer Genome Atlas and the Cancer Imaging...

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 Contrast Media

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Glioblastoma

Share to Image Enhancement

Share to Image Interpretation, Computer-Assisted

Share to Magnetic Resonance Imaging

Share to Necrosis

Share to Survival Rate

Source

Open in PubMed Open full text

Identifiers

PMID: 24827998
DOI: 10.1148/radiol.14131731
PMCID: PMC4263772

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Glioblastoma multiforme: exploratory radiogenomic analysis by using quantitative image features.PMID 24827998Read ↗

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

Radiogenomic-Based Survival Risk Stratification of Tumor Habitat on Gd-T1w MRI Is Associated with Biological Processes in Glioblastoma.Semantic proximity Read ↗

Magnetic resonance image features identify glioblastoma phenotypic subtypes with distinct molecular pathway activitiesSemantic proximity Read ↗

Sexually dimorphic radiogenomic models identify distinct imaging and biological pathways that are prognostic of overall survival in glioblastomaSemantic proximity Read ↗

Radiomic Profiling of GBM Reveals Histopathological Correlations Associated with Tumour Response to Ionizing RadiationSemantic proximity Read ↗

Deciphering the glioblastoma phenotype by computed tomography radiomics.Semantic proximity Read ↗

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

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

Imaging phenotypes predict overall survival in glioma more accurate than basic demographic and cell mutation profiles.Semantic proximity Read ↗

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

Addition of MR imaging features and genetic biomarkers strengthens glioblastoma survival prediction in TCGA patients.Semantic proximity Read ↗

A combinatorial radiographic phenotype may stratify patient survival and be associated with invasion and proliferation characteristics in glioblastoma.Semantic proximity Read ↗

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