Preoperative Prediction of H3 K27 Alteration Status in Diffuse Midline Glioma Using Intravoxel Incoherent Motion

Wei Guo1, Yan Su1, Yuwei Pan1

  • 1Department of Radiology, the First Affiliated Hospital, Fujian Medical University, Fuzhou, PR China (W.G., Y.S., Y.P., M.T., P.H., X.L., D.S.); Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, PR China (W.G., Y.S., Y.P., M.T., X.L., D.S.).

Academic Radiology
|August 20, 2026
PubMed
Abstract

Insights

Intravoxel incoherent motion (IVIM) imaging noninvasively predicts H3 K27 alteration status in diffuse midline gliomas (DMGs). This advanced imaging technique accurately identifies tumor subtypes, aiding in prognosis and treatment decisions.

Area of Science:

  • Neuro-oncology
  • Medical Imaging
  • Molecular Pathology

Background:

  • Diffuse midline gliomas (DMGs) are aggressive brain tumors where H3 K27 alteration status is crucial for prognosis and treatment.
  • Current methods for determining H3 K27 status require invasive tissue biopsies, posing risks and limitations.

Purpose of the Study:

  • To investigate the potential of intravoxel incoherent motion (IVIM) imaging to noninvasively predict the H3 K27 alteration status in DMGs.
  • To correlate imaging findings with patient prognosis and overall survival.

Main Methods:

  • Retrospective analysis of IVIM MRI data from 153 patients with DMG.
  • Classification of DMGs into H3 K27-altered (H3 K27-A) and wild-type (H3 K27-WT) groups.
  • Division of tumors into three habitats based on diffusion and perfusion parameters; construction and comparison of clinical, habitat, and hybrid diagnostic models.

Main Results:

  • H3 K27-A DMGs exhibited significantly higher perfusion fraction (f) in specific habitats and larger volumes of a high-perfusion habitat compared to H3 K27-WT.
  • A hybrid model incorporating clinical and habitat metrics achieved the highest diagnostic performance (AUC = 0.900).
  • The hybrid model's predictions of H3 K27-A status were significantly associated with overall survival.

Conclusions:

  • IVIM-based habitat imaging offers a noninvasive and accurate method for predicting H3 K27 alteration status in DMGs.
  • This approach holds promise for improving prognostic assessment and guiding therapeutic strategies for DMG patients.

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