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

Characterization of MRI findings by pTERT mutation status and the prognostic significance in GBM patients with recurrent lesions.

Clinical radiology - 1 Jun 2025

Quan G, Wang C, Liu Y, Yuan T

Abstract excerpt

AIM: To investigate the MRI characteristics of recurrent glioblastoma (GBM) in relation to telomerase reverse transcriptase-promoter (pTERT) mutation status and their prognostic significance. MATERIALS AND METHODS: A retrospective analysis was conducted on 80 patients with primary IDH wild-type GBM. MRI features, including conventional and functional imaging, were compared between pTERT mutant and wild-type...

Read the complete abstract on PubMed

Topics

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

Share to Brain
Share to Brain Neoplasms
Share to Glioblastoma

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Magnetic Resonance Imaging

Share to Neoplasm Recurrence, Local

Share to Prognosis

Share to Promoter Regions, Genetic

Share to Telomerase

Source

Identifiers

PMID: 40262403
DOI: 10.1016/j.crad.2025.106913

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Characterization of MRI findings by pTERT mutation status and the prognostic significance in GBM patients with recurrent lesions.PMID 40262403Read ↗

Diffusion Weighted MRI could precisely predict the pTERT mutation status of GBM using a residual convolutional neural networkSemantic proximity Read ↗

MGMT Promoter Methylation Status in Initial and Recurrent Glioblastoma: Correlation Study with DWI and DSC PWI FeaturesSemantic proximity Read ↗

Multiparametric MRI-based fusion radiomics for predicting telomerase reverse transcriptase (TERT) promoter mutations and progression-free survival in glioblastoma: a multicentre study.Semantic proximity Read ↗

Assessment of pTERT Subtypes of Glioblastoma by Quantitative FLAIR Analysis Based on Fusing MRI Images.Semantic proximity Read ↗

Multimodal MRI-based radiomic nomogram for predicting telomerase reverse transcriptase promoter mutation in IDH-wildtype histological lower-grade gliomas.Semantic proximity Read ↗

The TERT promoter mutation status and MGMT promoter methylation status, combined with dichotomized MRI-derived and clinical features, predict adult primary glioblastoma survival.Semantic proximity Read ↗

Radiogenomics correlation between MR imaging features and major genetic profiles in glioblastoma.Semantic proximity Read ↗

Conventional magnetic resonance imaging-based radiomic signature predicts telomerase reverse transcriptase promoter mutation status in grade II and III gliomas.Semantic proximity Read ↗

MRI Features May Predict Molecular Features of Glioblastoma in Isocitrate Dehydrogenase Wild-Type Lower-Grade Gliomas.Semantic proximity Read ↗

Clinicoradiological differentiation of TERT promoter-mutant molecular glioblastoma versus histological glioblastoma: a single-center cohort study of 105 IDH-wildtype tumors.Semantic proximity Read ↗

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

Radiological features combined with IDH1 status for predicting the survival outcome of glioblastoma patients.Semantic proximity Read ↗

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