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

MR-spectroscopic imaging of glial tumors in the spotlight of the 2016 WHO classification.

Journal of neuro-oncology - 1 Sept 2018

Diamandis Elie, Gabriel Carl Phillip Simon, Würtemberger Urs, Guggenberger Konstanze, Urbach Horst, Staszewski Ori, Lassmann Silke, Schnell Oliver, Grauvogel Jürgen, Mader Irina, Heiland Dieter Henrik

Abstract excerpt

BACKGROUND: The purpose of this study is to map spatial metabolite differences across three molecular subgroups of glial tumors, defined by the IDH1/2 mutation and 1p19q-co-deletion, using magnetic resonance spectroscopy. This work reports a new MR spectroscopy based classification algorithm by applying a radiomics analytics pipeline. MATERIALS: 65 patients received anatomical and chemical shift 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 Cluster Analysis

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Glioma

Share to Image Interpretation, Computer-Assisted

Share to Isocitrate Dehydrogenase

Share to Machine Learning

Share to Magnetic Resonance Imaging

Share to Magnetic Resonance Spectroscopy

Source

Identifiers

PMID: 29704080
DOI: 10.1007/s11060-018-2881-x

Genes

IDH1

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

MR-spectroscopic imaging of glial tumors in the spotlight of the 2016 WHO classification.PMID 29704080Read ↗

Magnetic resonance imaging and spectroscopic markers for the detection and metabolic characterisation of IDH-mutant gliomasSemantic proximity Read ↗

Proton MR spectroscopy shows improved performance to segregate high-grade astrocytoma subgroups when defined with the new 2021 World Health Organization classification of central nervous system tumors.Semantic proximity Read ↗

Non-invasive Assessment of IDH-mutant Gliomas Using Optimized Proton Magnetic Resonance Spectroscopy on a Routine Clinical 3-Tesla MRISemantic proximity Read ↗

2-Hydroxyglutarate as an MR spectroscopic predictor of an IDH mutation in gliomas.Semantic proximity Read ↗

Spectroscopic imaging of D-2-hydroxyglutarate and other metabolites in pre-surgical patients with IDH-mutant lower-grade gliomas.Semantic proximity Read ↗

A Noninvasive Comparison Study between Human Gliomas with IDH1 and IDH2 Mutations by MR SpectroscopySemantic proximity Read ↗

Incorporation of Edited MRS into Clinical Practice May Improve Care of Patients with IDH-Mutant Glioma.Semantic proximity Read ↗

7 Tesla magnetic resonance spectroscopic imaging predicting IDH status and glioma grading.Semantic proximity Read ↗

Multi-parametric Z-spectral MRI may have a good performance for glioma stratification in clinical patients.Semantic proximity Read ↗

Visualization of tumor heterogeneity and prediction of isocitrate dehydrogenase mutation status for human gliomas using multiparametric physiologic and metabolic MRI.Semantic proximity Read ↗

Novel 3D magnetic resonance fingerprinting radiomics in adult brain tumors: a feasibility study.Semantic proximity Read ↗

Tumor microstructural biomarkers from time-dependent diffusion MRI for predicting IDH mutation status in non-enhancing gliomas.Semantic proximity Read ↗

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