A comprehensive evaluation of MRI-based radiogenomics and prognosis prediction in glioma

Our experiments demonstrate the potential of imaging biomarkers for IDH prediction, highlighting the challenges associated with predicting MGMT and OS only from image data. This underscores the need for additional information beyond MRI, for accurate prediction of these prognostic markers.

Authors

Institutions

Publication Details

Journal
Frontiers in Oncology
Published
2026-01-05
DOI
https://doi.org/10.3389/fonc.2025.1679634
Primary Topic
Glioma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A comprehensive evaluation of MRI-based radiogenomics and prognosis prediction in glioma

M. Lazzeroni, Mehdi Astaraki, Iuliana Toma-Dasu
Frontiers in Oncology
Glioma Diagnosis and Treatment
article

A comprehensive evaluation of MRI-based radiogenomics and prognosis prediction in glioma

M. Lazzeroni, Mehdi Astaraki, Iuliana Toma-Dasu
article en

Abstract

Our experiments demonstrate the potential of imaging biomarkers for IDH prediction, highlighting the challenges associated with predicting MGMT and OS only from image data. This underscores the need for additional information beyond MRI, for accurate prediction of these prognostic markers.

Frontiers in OncologyVol. 15
Stockholm University (SE), Karolinska Institutet (SE)
Cancerfonden, Vetenskapsrådet
Openalex Percentile: Top 97%
Glioma Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.