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

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

BMC cancer - 8 Aug 2016

Grossmann Patrick, Gutman David A, Dunn William D, Holder Chad A, Aerts Hugo J W L

Abstract excerpt

BACKGROUND: Glioblastoma (GBM) tumors exhibit strong phenotypic differences that can be quantified using magnetic resonance imaging (MRI), but the underlying biological drivers of these imaging phenotypes remain largely unknown. An Imaging-Genomics analysis was performed to reveal the mechanistic associations between MRI derived quantitative volumetric tumor phenotype features and molecular pathways. METHODS: One...

Read the complete abstract on PubMed

Topics

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

Share to Apoptosis
Share to Brain Neoplasms
Share to Cell Cycle

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Decision Support Systems, Clinical

Share to Gene Regulatory Networks

Share to Glioblastoma

Share to Magnetic Resonance Imaging

Share to Survival Analysis

Source

Open in PubMed Open full text

Identifiers

PMID: 27502180
DOI: 10.1186/s12885-016-2659-5
PMCID: PMC4977720

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

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

Imaging-genomics reveals driving pathways of MRI derived volumetric tumor phenotype features in Glioblastoma.PMID 27502180Read ↗

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

Somatic mutations associated with MRI-derived volumetric 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 ↗

Glioblastoma multiforme: exploratory radiogenomic analysis by using quantitative image features.Semantic proximity Read ↗

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

MRI-localized biopsies reveal subtype-specific differences in molecular and cellular composition at the margins of glioblastomaSemantic proximity Read ↗

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

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

Extracted magnetic resonance texture features discriminate between phenotypes and are associated with overall survival in glioblastoma multiforme patients.Semantic proximity Read ↗

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

Differential Gene Expression in MRI-classified GlioblastomaSemantic proximity Read ↗

Patient-Derived Surgical samples reveal patterns of glioblastoma infiltration and tumor microenvironment at the tumor marginSemantic proximity Read ↗

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