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

Predicting Isocitrate Dehydrogenase (IDH) Mutation Status in Gliomas Using Multiparameter MRI Radiomics Features.

Journal of magnetic resonance imaging : JMRI - 1 May 2021

Peng Hong, Huo Jiaohua, Li Bo, Cui Yuanyuan, Zhang Hao, Zhang Liang, Ma Lin

Abstract excerpt

BACKGROUND: Accurate and noninvasive detection of isocitrate dehydrogenase (IDH, including IDH1 and IDH2) status is clinically meaningful for molecular stratification of glioma, but remains challenging. PURPOSE: To establish a model for classifying IDH status in gliomas based on multiparametric MRI. STUDY TYPE: Retrospective, radiomics. POPULATION: In all, 105 consecutive cases of grade II-IV glioma with 50 IDH1...

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 Glioma

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Isocitrate Dehydrogenase

Share to Magnetic Resonance Imaging

Share to Mutation

Source

Identifiers

PMID: 33179832
DOI: 10.1002/jmri.27434

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Predicting Isocitrate Dehydrogenase (IDH) Mutation Status in Gliomas Using Multiparameter MRI Radiomics Features.PMID 33179832Read ↗

Noninvasive prediction of IDH mutation status in gliomas using preoperative multiparametric MRI radiomics nomogram: A mutlicenter study.Semantic proximity Read ↗

Diffusion- and perfusion-weighted MRI radiomics model may predict isocitrate dehydrogenase (IDH) mutation and tumor aggressiveness in diffuse lower grade glioma.Semantic proximity Read ↗

Multimodal MRI features predict isocitrate dehydrogenase genotype in high-grade gliomas.Semantic proximity Read ↗

A radiomics model based on DCE-MRI and DWI may improve the prediction of estimating IDH1 mutation and angiogenesis in gliomas.Semantic proximity Read ↗

Radiomics Strategy for Molecular Subtype Stratification of Lower-Grade Glioma: Detecting IDH and TP53 Mutations Based on Multimodal MRI.Semantic proximity Read ↗

Two-Stage Training Framework Using Multicontrast MRI Radiomics for IDH Mutation Status Prediction in Glioma.Semantic proximity Read ↗

Multicenter MRI Radiomics Features to Predict IHD1 Gene Mutation Status of Low-Grade GliomaSemantic proximity Read ↗

One class classification-empowered radiomics for noninvasively accurate prediction of glioma isocitrate dehydrogenase mutation using multiparametric magnetic resonance imaging.Semantic proximity Read ↗

Structural- and DTI- MRI enable automated prediction of IDH Mutation Status in CNS WHO Grade 2-4 glioma patients: a deep Radiomics Approach.Semantic proximity Read ↗

From pixels to prognosis: leveraging radiomics and machine learning to predict IDH1 genotype in gliomas.Semantic proximity Read ↗

Machine Learning-Based Radiomics for Molecular Subtyping of Gliomas.Semantic proximity Read ↗

Improving Noninvasive Classification of Molecular Subtypes of Adult Gliomas With Diffusion-Weighted MR Imaging: An Externally Validated Machine Learning Algorithm.Semantic proximity Read ↗

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