Diagnostic and Prognostic Value of Hypoxia PET in Glioma: A Systematic Review and Meta-Analysis

Aly Muhammad Ladak1, Seyed Ali Mirshahvalad1,2, Adam Farag1

  • 1University Medical Imaging Toronto, Joint Department of Medical Imaging, University Health Network, Sinai Health System & Women's College Hospital, Toronto, ON M5G 2N2, Canada.

Cancers
|June 26, 2026
PubMed

Insights

Hypoxia PET imaging shows promise for glioma diagnosis and prognostication, accurately differentiating glioblastoma from lower-grade gliomas and predicting patient survival. This technique offers valuable complementary information to MRI for improved glioma assessment.

Area of Science:

  • Oncology
  • Radiology
  • Nuclear Medicine

Background:

  • Magnetic Resonance Imaging (MRI) has limitations in accurately grading, planning treatment for, and predicting outcomes in glioma patients.
  • Tumor hypoxia is linked to higher-grade gliomas and poorer prognoses, making hypoxia-specific positron emission tomography (PET) tracers valuable for improved assessment.
  • This systematic review and meta-analysis evaluates the diagnostic and prognostic performance of hypoxia PET imaging in gliomas.

Purpose of the Study:

  • To systematically review and meta-analyze the performance of hypoxia PET imaging in glioma diagnosis.
  • To evaluate the prognostic value of hypoxia PET imaging for glioma patients.
  • To assess the utility of PET tracers like 18F-labelled nitroimidazoles and 62Cu-labelled ATSM in differentiating glioma grades and predicting survival.

Main Methods:

  • Systematic literature searches were performed in PubMed, Web of Science, and Scopus up to January 31, 2025.
  • Studies included assessed the diagnostic or prognostic value of specific hypoxia PET tracers (18F-FMISO, 18F-FAZA, 18F-FRP170, 18F-FETNIM, 62Cu-ATSM) in glioma patients.
  • Hierarchical models were employed for pooled performance analysis, particularly for differentiating glioblastoma from lower-grade gliomas.

Main Results:

  • Thirty-eight articles (1156 patients) were eligible, with eleven (296 patients) included in meta-analyses.
  • Hypoxia extent on PET correlated with IDH mutation status and histological angiogenesis.
  • Hypoxia PET demonstrated high sensitivity (98%) and specificity (94%) for differentiating glioblastoma from lower-grade gliomas using 18F-FMISO, and effectively predicted overall and progression-free survival.

Conclusions:

  • Hypoxia PET imaging shows potential for predicting tumor biology and serves as a reliable tool complementary to MRI for glioma diagnosis, grading, and prognostication.
  • This modality may be particularly useful for ruling out glioblastoma in cases with equivocal MRI findings.
  • Prospective validation with standardized imaging protocols is recommended to confirm these findings.