Role of FDG-PET/MRI, FDG-PET/CT, and Dynamic Susceptibility Contrast Perfusion MRI in Differentiating Radiation

Mojgan Hojjati1, Chaitra Badve1, Vasant Garg1

  • 1Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH.

Abstract

Insights

Quantitative PET/MRI and perfusion MRI (pMRI) effectively differentiate radiation necrosis from tumor recurrence in treated glioblastoma. Combining these imaging techniques offers the highest diagnostic accuracy for these challenging cases.

Area of Science:

  • Neuro-oncology
  • Radiology
  • Medical Imaging

Background:

  • Distinguishing radiation necrosis (RN) from tumor recurrence (TR) is critical in treated glioblastoma multiforme (GBM).
  • Standard imaging follow-up can be challenging in identifying these conditions accurately.
  • Novel imaging techniques are needed to improve diagnostic precision.

Purpose of the Study:

  • To compare the diagnostic utility of quantitative PET/MRI, dynamic susceptibility contrast perfusion MRI (DSC pMRI), and PET/CT.
  • To differentiate radiation necrosis from tumor recurrence in patients with treated GBM.
  • To evaluate the performance of quantitative imaging metrics in this differentiation.

Main Methods:

  • 24 GBM patients with suspected RN or TR underwent quantitative PET/MRI and DSC pMRI.
  • 19 patients also underwent PET/CT.
  • Analysis involved calculating lesion-to-white matter ratios for PET and histogram metrics for pMRI, followed by ROC analysis.

Main Results:

  • Quantitative PET/MRI (relative mean ≥ 1.31) and DSC pMRI (CBV max ≥ 3.32) showed high diagnostic performance (AUC .94) with 100% sensitivity and NPV.
  • A combined model using PET/MRI and pMRI metrics achieved a perfect AUC of 1.0.
  • 28 lesions were analyzed across 24 patients.

Conclusions:

  • Quantitative PET/MRI parameters combined with DSC pMRI offer superior diagnostic utility for differentiating RN from TR in treated GBM.
  • This multimodal imaging approach enhances diagnostic accuracy in challenging post-treatment scenarios.
  • The findings support the integration of these advanced imaging techniques in GBM follow-up.