Back to search

Article

Multicenter MRI Radiomics Features to Predict IHD1 Gene Mutation Status of Low-Grade Glioma

2024-08-27

Abstract excerpt

<title>Abstract</title> <p><bold>Background: </bold>IDH mutation has been incorporated into the World Health Organization classification of gliomas, and its role in treatment recommendations is under development. <bold>Purpose: </bold>We aim to predict IDH1 mutation status from T1, T1-Gd, T2, and T2-fluid-attenuated inversion recovery (FLAIR) MRI sequences. <bold>Material and method: </bold>We used 119 patients'...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
cd8b9e12-6e51-5fc5-9ec3-3f3539308f0e
DOI
10.21203/rs.3.rs-4772510/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Multicenter MRI Radiomics Features to Predict IHD1 Gene Mutation Status of Low-Grade GliomaDOI 10.21203/rs.3.rs-4772510/v1
Noninvasive prediction of IDH mutation status in gliomas using preoperative multiparametric MRI radiomics nomogram: A mutlicenter study.Semantic proximity
A radiomics model based on DCE-MRI and DWI may improve the prediction of estimating IDH1 mutation and angiogenesis in gliomas.Semantic proximity
Predicting Isocitrate Dehydrogenase (IDH) Mutation Status in Gliomas Using Multiparameter MRI Radiomics Features.Semantic proximity
Two-Stage Training Framework Using Multicontrast MRI Radiomics for IDH Mutation Status Prediction in Glioma.Semantic proximity
Molecular subtype classification of low-grade gliomas using magnetic resonance imaging-based radiomics and machine learning.Semantic proximity
From pixels to prognosis: leveraging radiomics and machine learning to predict IDH1 genotype in gliomas.Semantic proximity
Qualitative and Quantitative MRI Analysis in IDH1 Genotype Prediction of Lower-Grade Gliomas: A Machine Learning Approach.Semantic proximity
A radiomics-clinical nomogram for preoperative prediction of IDH1 mutation in primary glioblastoma multiforme.Semantic proximity
IDH1 mutation prediction using MR-based radiomics in glioblastoma: comparison between manual and fully automated deep learning-based approach of tumor segmentation.Semantic proximity
IDH mutation prediction in non-enhancing gliomas with relaxed T2-FLAIR mismatch and fractal dimension: a two-center studySemantic proximity
Interpretable Deep Learning Enables MRI-Based Virtual Biopsy for Molecular Stratification of Diffuse GliomasSemantic proximity
Predicting the Gene Status and Survival Outcome of Lower Grade Glioma Patients With Multimodal MRI FeaturesSemantic proximity
Select a neighboring publication to make it the new centre.