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Microvasculature Features Derived from Hybrid EPI MRI in Non-Enhancing Adult-Type Diffuse Glioma Subtypes

  • Fatemeh Arzanforoosh
  • , Sebastian R. van der Voort
  • , Fatih Incekara
  • , Arnaud Vincent
  • , Martin van den Bent
  • , Johan M. Kros
  • , Marion Smits
  • , Esther A. H. Warnert*
  • *Corresponding author for this work
  • Erasmus MC
  • Erasmus University Rotterdam
  • Medical Delta

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

In this study, we used the vessel size imaging (VSI) MRI technique to characterize the microvasculature features of three subtypes of adult-type diffuse glioma lacking enhancement. Thirty-eight patients with confirmed non-enhancing glioma were categorized into three subtypes: Oligo (IDH-mut&1p/19q-codeleted), Astro (IDH-mut), and GBM (IDH-wt). The VSI technique provided quantitative maps of cerebral blood volume (CBV), microvasculature (µCBV), and vessel size for each patient. Additionally, tissue samples of 21 patients were histopathologically analyzed, and microvasculature features were quantified. Both MRI- and histology-derived features were compared across the three glioma subtypes with ANOVA or Kruskal–Wallis tests. Group averages of CBV, μCBV, and vessel size were significantly different between the three glioma subtypes (p < 0.01). Astro (IDH-mut) had a significantly lower CBV and µCBV compared to Oligo (IDH-mut&1p/19q-codeleted) (p = 0.004 and p = 0.001, respectively), and a higher average vessel size compared to GBM (IDH-wt) (p = 0.01). The histopathological analysis showed that GBM (IDH-wt) possessed vessels with more irregular shapes than the two other subtypes (p < 0.05). VSI provides a good insight into the microvasculature characteristics of the three adult-type glioma subtypes even when lacking enhancement. Further investigations into the specificity of VSI to differentiate glioma subtypes are thus warranted.

Original languageEnglish
Article number2135
JournalCancers
Volume15
Issue number7
DOIs
Publication statusPublished - 1 Apr 2023
Externally publishedYes

Keywords

  • cerebral blood volume
  • glioma
  • microvessel
  • molecular typing
  • perfusion imaging
  • vessel size imaging

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