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

Seyit Erol1, Ahmet Baytok2, Ayşe Arı2

  • 1Department of Radiology, Selçuk Üniversitesi Tıp Fakültesi Hastanesi, Konya, Turkey. seyiterol42@gmail.com.

Neuroradiology
|July 1, 2026
PubMed
Abstract

Insights

A new MRI analysis framework using T2-FLAIR mismatch signals can help distinguish between IDH-mutant astrocytomas and oligodendrogliomas. Core-based quantification shows promise as a high-specificity diagnostic tool for these brain tumors.

Area of Science:

  • Neuro-oncology
  • Radiology
  • Medical Imaging Analysis

Background:

  • Accurate differentiation of IDH-mutant diffuse gliomas, specifically astrocytomas and oligodendrogliomas, is crucial for appropriate treatment planning.
  • Conventional MRI interpretation can be challenging in distinguishing these histologically similar tumor types.
  • The T2-FLAIR signal mismatch, representing areas of T2 hyperintensity not suppressed on FLAIR, has shown potential in differentiating gliomas.

Purpose of the Study:

  • To develop and validate a quantitative, voxel-wise framework for analyzing the T2-FLAIR mismatch signal in routine MRI scans.
  • To assess the efficacy of this framework in differentiating between IDH-mutant astrocytomas and oligodendrogliomas.
  • To identify quantitative biomarkers derived from the T2-FLAIR mismatch that can aid in differential diagnosis.

Main Methods:

  • Retrospective analysis of preoperative T2-weighted and FLAIR MRI from 43 patients with confirmed diffuse gliomas (25 astrocytomas, 18 oligodendrogliomas).
  • Creation of voxel-wise log-ratio mismatch maps and definition of whole-tumor and core-restricted regions of interest (ROIs).
  • Extraction of five mismatch biomarkers (PositiveMismatchRatio, MeanMismatchStrength, MismatchStd, PositiveMismatchMean, LargestMismatchClusterRatio) and assessment of diagnostic performance using Mann-Whitney U test and ROC analysis.

Main Results:

  • Several voxel-wise mismatch biomarkers were significantly higher in astrocytomas compared to oligodendrogliomas, especially within core-restricted ROIs.
  • LargestMismatchClusterRatio in the 3-mm core ROI demonstrated the best diagnostic performance (AUC, 0.786), followed by PositiveMismatchRatio (AUC, 0.779).
  • PositiveMismatchRatio in the 3-mm core ROI exhibited high specificity (94.4%) and a positive likelihood ratio of 10.80, indicating strong rule-in performance for astrocytomas.

Conclusions:

  • Core-based voxel-wise quantification of T2-FLAIR signal discordance shows preliminary diagnostic value in differentiating IDH-mutant astrocytomas from oligodendrogliomas.
  • This quantitative approach, particularly using PositiveMismatchRatio, serves as a high-specificity rule-in method for astrocytomas.
  • External validation in larger, multicenter cohorts is necessary to confirm clinical applicability.

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