ArticleNeuroradiology2022
Conventional MRI features can predict the molecular subtype of adult grade 2-3 intracranial diffuse gliomas.
Article in Neuroradiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed.
- Beyond the visual T2-FLAIR mismatch: quantitative imaging markers of IDH mutation in Gliomas-A retrospective diagnostic accuracy study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Article
- Core-based voxel-wise T2-FLAIR mismatch analysis for differentiation of IDH-mutant astrocytomas from oligodendrogliomas.Neuroradiology · 2026Article
- Article
- A multifocal IDH-mutant glioma with differential response to IDH inhibition: Role of quantitative neuroimaging.Radiology case reports · 2026Article
- IDH mutation prediction in non-enhancing gliomas with relaxed T2-FLAIR mismatch and fractal dimension: a two-center study.BMC medical imaging · 2026Article
- A logistic paradigm to predict molecular glioblastoma on clinical MRI.Frontiers in oncology · 2026Article
- Phenotype augmentation using generative AI for isocitrate dehydrogenase mutation prediction in glioma.Scientific reports · 2025Article
- Preoperative prediction of diffuse glioma type and grade in adults: a gadolinium-free MRI-based decision tree.European radiology · 2025Article
- Diffusion MRI is superior to quantitative T2-FLAIR mismatch in predicting molecular subtypes of human non-enhancing gliomas.Neuroradiology · 2024Article
- Prediction of prognosis in glioblastoma with radiomics features extracted by synthetic MRI images using cycle-consistent GAN.Physical and engineering sciences in medicine · 2024Article
- DSC-PWI presurgical differentiation of grade 4 astrocytoma and glioblastoma in young adults: rCBV percentile analysis across enhancing and non-enhancing regions.Neuroradiology · 2024Article
- Perfusion percentage signal recovery and a mundane chicken wire: what could they have to do in oligodendrogliomas?European radiology · 2024Article
- The T2-FLAIR mismatch sign in oncologic neuroradiology: History, current use, emerging data, and future directions.The neuroradiology journal · 2024Review
- Harnessing generative AI for glioma diagnosis: A step forward in neuro-oncologic imaging.Neuro-oncology · 2024Article
- Clinical and imaging characteristics of supratentorial glioma with IDH2 mutation.Neuroradiology · 2024Article
- Quantification of T2-FLAIR Mismatch in Nonenhancing Diffuse Gliomas Using Digital Subtraction.AJNR. American journal of neuroradiology · 2024Article
- Accuracy of MRI in Detecting 1p/19q Co-deletion Status of Gliomas: A Single-Center Retrospective Study.Cureus · 2024Article
- Assessment of Ki-67 expression levels in IDH-wildtype glioblastoma using logistic regression modelling of VASARI features.Neurosurgical review · 2023Article
- Radiogenomics Provides Insights into Gliomas Demonstrating Single-Arm 1p or 19q Deletion.AJNR. American journal of neuroradiology · 2023Article
- Radiogenomics of adult intracranial gliomas after the 2021 World Health Organisation classification: a review of changes, challenges and opportunities.Quantitative imaging in medicine and surgery · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
purposeMolecular biomarkers are important for classifying intracranial gliomas, prompting research into correlating imaging with genotype ("radiogenomics"). A limitation of the existing radiogenomics literature is the paucity of studies specifically characterizing grade 2-3 gliomas into the three key molecular subtypes. Our study investigated the accuracy of multiple different conventional MRI features for genotype prediction.
methodsGrade 2-3 gliomas diagnosed between 2007 and 2013 were identified. Two neuroradiologists independently assessed nine conventional MRI features. Features with better inter-observer agreement (κ ≥ 0.6) proceeded to consensus assessment. MRI features were correlated with genotype, classified as IDH-mutant and 1p/19q-codeleted (IDH
resultsOne hundred nineteen patients were included. T2-FLAIR mismatch (stratified as > 50%, 25-50%, or < 25%) was the most predictive feature across genotypes (p < 0.001). All 30 tumors with > 50% mismatch were IDH
conclusionT2-FLAIR mismatch strongly predicts IDH
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.