Evidence map›Paper›PMID 42384075›Full record

ArticleNeuroradiology2026

Core-based voxel-wise T2-FLAIR mismatch analysis for differentiation of IDH-mutant astrocytomas from oligodendrogliomas.

Seyit Erol, Ahmet Baytok, Ayşe Arı, Halil Özer, Hakan Cebeci

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Article in Neuroradiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 authors.

Seyit ErolDepartment of Radiology, Selçuk Üniversitesi Tıp Fakültesi Hastanesi, Konya, Turkey. seyiterol42@gmail.com.ORCID https://orcid.org/0000-0002-0547-872X
Ahmet BaytokDepartment of Radiology, Selçuk Üniversitesi Tıp Fakültesi Hastanesi, Konya, Turkey.
Ayşe ArıDepartment of Radiology, Selçuk Üniversitesi Tıp Fakültesi Hastanesi, Konya, Turkey.
Halil ÖzerDepartment of Radiology, Selçuk Üniversitesi Tıp Fakültesi Hastanesi, Konya, Turkey.
Hakan CebeciDepartment of Radiology, Selçuk Üniversitesi Tıp Fakültesi Hastanesi, Konya, Turkey.

Funding

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6 · The paper itself

Abstract

objectiveThis study aims to develop a voxel-wise quantitative framework for the T2-FLAIR mismatch signal in routine MRI scans to differentiate IDH-mutant astrocytomas from oligodendrogliomas.

methodsThis retrospective study analyzed 43 patients with confirmed diffuse gliomas (25 astrocytomas and 18 oligodendrogliomas) using preoperative T2-weighted and FLAIR MRI. A voxel-wise log-ratio mismatch map was created, and whole-tumor regions of interest (ROIs) were defined through manual segmentations and inward tumor boundary restrictions. Five mismatch biomarkers were extracted: PositiveMismatchRatio, MeanMismatchStrength, MismatchStd, PositiveMismatchMean, and LargestMismatchClusterRatio. Group comparisons utilized the Mann-Whitney U test, and diagnostic performance was assessed through receiver operating characteristic (ROC) analysis.

resultsThe analysis revealed that several voxel-wise mismatch biomarkers presented significantly higher values in astrocytomas compared to oligodendrogliomas, particularly in core-restricted ROIs. The best overall performance was achieved by LargestMismatchClusterRatio in the 3-mm core ROI (AUC, 0.786; 95% CI, 0.640-0.914), followed closely by PositiveMismatchRatio in the same ROI (AUC, 0.779; 95% CI, 0.631-0.910). Threshold-based analysis showed that PositiveMismatchRatio in the 3-mm core ROI provided the strongest rule-in performance, with 60.0% sensitivity, 94.4% specificity, a positive likelihood ratio of 10.80, and a diagnostic odds ratio of 25.5. Overall, core restriction improved discrimination performance compared to whole-tumor assessments.

conclusionsCore-based voxel-wise quantification of T2-FLAIR signal discordance showed preliminary diagnostic value for differentiating IDH-mutant astrocytomas from oligodendrogliomas, particularly as a high-specificity rule-in approach. External validation in larger multicenter cohorts is required before clinical application.

Indexed as

AstrocytomaBrain NeoplasmsIsocitrate DehydrogenaseMagnetic Resonance ImagingOligodendrogliomaAdultAgedDiagnosis, DifferentialFemaleHumansImage Interpretation, Computer-AssistedMaleMiddle AgedMutationRetrospective StudiesSensitivity and SpecificityIsocitrate DehydrogenaseAstrocytomaMRIOligodendrogliomaT2-FLAIR mismatchVoxel-wise quantification

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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.