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

Identification of IDH and TERTp mutations using dynamic susceptibility contrast MRI with deep learning in 162 gliomas.

European journal of radiology - 1 Jan 2024

Buz-Yalug Buse, Turhan Gulce, Cetin Ayse Irem, Dindar Sukru Samet, Danyeli Ayca Ersen, Yakicier Cengiz, Pamir M Necmettin, Özduman Koray, Dincer Alp, Ozturk-Isik Esin

Abstract excerpt

PURPOSE: Isocitrate dehydrogenase (IDH) and telomerase reverse transcriptase gene promoter (TERTp) mutations play crucial roles in glioma biology. Such genetic information is typically obtained invasively from excised tumor tissue; however, these mutations need to be identified preoperatively for better treatment planning. The relative cerebral blood volume (rCBV) information derived from dynamic susceptibility...

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 Deep Learning

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Glioma

Share to Isocitrate Dehydrogenase

Share to Magnetic Resonance Imaging

Share to Mutation

Source

Identifiers

PMID: 38134710
DOI: 10.1016/j.ejrad.2023.111257

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

Identification of IDH and TERTp mutations using dynamic susceptibility contrast MRI with deep learning in 162 gliomas.PMID 38134710Read ↗

Prediction of IDH and TERT promoter mutations in low-grade glioma from magnetic resonance images using a convolutional neural network.Semantic proximity Read ↗

Prediction of IDH genotype in gliomas with dynamic susceptibility contrast perfusion MR imaging using an explainable recurrent neural networkSemantic proximity Read ↗

Radiomic study on preoperative multi-modal magnetic resonance images identifies IDH-mutant TERT promoter-mutant gliomas.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 ↗

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

Diffusion and perfusion MRI may predict EGFR amplification and the TERT promoter mutation status of IDH-wildtype lower-grade gliomas.Semantic proximity Read ↗

Association of dynamic susceptibility contrast- and dynamic contrast-enhanced magnetic resonance imaging parameters with molecular marker status in lower-grade gliomas: A retrospective study.Semantic proximity Read ↗

The role of DSC MR perfusion in predicting IDH mutation and 1p19q codeletion status in gliomas: meta-analysis and technical considerations.Semantic proximity Read ↗

Machine learning assisted DSC-MRI radiomics as a tool for glioma classification by grade and mutation status.Semantic proximity Read ↗

Machine learning assisted DSC-MRI radiomics as a tool for glioma classification by grade and mutation statusSemantic proximity Read ↗

Time-dependent diffusion MRI-based microstructural mapping for predicting IDH mutation status in glioma: A multicenter study.Semantic proximity Read ↗

Detecting IDH and TERTp mutations in diffuse gliomas using 1H-MRS with attention deep-shallow networks.Semantic proximity Read ↗

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