Parametric Response Mapping of FLAIR MRI Provides an Early Indication of Progression Risk in Glioblastoma

Benjamin A Hoff1, Benjamin Lemasson2, Thomas L Chenevert1

  • 1Department of Radiology, the Center for Molecular Imaging, University of Michigan, Ann Arbor, Michigan.

Academic Radiology
|September 15, 2020
PubMed
Abstract

Insights

Parametric Response Mapping (PRM) of fluid-attenuated inversion recovery (FLAIR) images offers an early biomarker for glioblastoma (GBM) progression. This novel imaging analysis method improves upon traditional tumor diameter measurements for predicting patient survival.

Area of Science:

  • Neuro-oncology
  • Radiology
  • Medical Imaging Analysis

Background:

  • Glioblastoma (GBM) diagnosis and treatment monitoring traditionally rely on Magnetic Resonance Imaging (MRI) metrics like tumor diameter, which show poor correlation with survival outcomes.
  • Assessing disease progression in GBM is challenging, necessitating improved methods for early detection and treatment response evaluation.

Purpose of the Study:

  • To investigate the utility of serial voxel-wise comparison of anatomically-aligned FLAIR signal using Parametric Response Mapping (PRM) as an early predictor of GBM progression.
  • To compare the efficacy of PRM-derived outcomes with Response Assessment in Neuro-Oncology (RANO) criteria for detecting tumor progression and stratifying patient survival.

Main Methods:

  • Longitudinal normalized FLAIR (rFLAIR) images from 52 subjects were analyzed using voxel-wise PRM to quantify volume fractions of increased (PRMrFLAIR+), decreased (PRMrFLAIR-), and unchanged (PRMrFLAIR0) rFLAIR intensity.
  • Response was determined between pre-treatment and 10-week post-treatment scans. Disease progression risk was assessed in a subset (N=26) between weeks 10-20 and continuously until PRMrFLAIR+ exceeded a threshold.
  • PRM-derived outcomes were compared against RANO criteria for tumor progression detection and patient survival stratification.

Main Results:

  • PRMrFLAIR+ significantly stratified patients for progression-free survival (PFS) and overall survival (OS) at week 10 (PFS: p <0.01; OS: p <0.001), outperforming changes in FLAIR-hyperintense volume.
  • PRMrFLAIR+ also stratified progression between weeks 10 and 20 (PFS: p <0.05; OS: p = 0.01), whereas FLAIR-volume changes were not predictive.
  • Continuous PRMrFLAIR+ evaluation exceeding 10% stratified patients for progression-free survival (PFA) significantly earlier (5.6 months) compared to RANO criteria (15.4 months).

Conclusions:

  • Parametric Response Mapping (PRM) of FLAIR images demonstrates potential as an early and sensitive biomarker for glioblastoma disease progression.
  • PRMrFLAIR offers a more effective method for early treatment monitoring and patient stratification compared to traditional RANO criteria and volumetric measurements.
  • This imaging analysis technique may significantly improve clinical decision-making and patient management in glioblastoma.

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