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Related Experiment Video

Updated: Mar 6, 2026

Quantitative Immunohistochemistry of the Cellular Microenvironment in Patient Glioblastoma Resections
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Restriction Spectrum Imaging Improves Risk Stratification in Patients with Glioblastoma.

A P Krishnan1, R Karunamuni2, K M Leyden1

  • 1From the Multimodal Imaging Laboratory (A.P.K., K.M.L., T.M.S., J.M.K., H.B., P.E., A.S., A.M.D., N.F., C.R.M., N.S.W.).

AJNR. American Journal of Neuroradiology
|March 11, 2017
PubMed
Summary
This summary is machine-generated.

Restriction spectrum imaging (RSI) shows promise in predicting glioblastoma outcomes. RSI-FLAIR volume fraction is a stronger prognostic marker for progression-free and overall survival than apparent diffusion coefficient (ADC) metrics.

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Area of Science:

  • Neuroimaging
  • Oncology
  • Radiology

Background:

  • Apparent diffusion coefficient (ADC) is a promising marker for glioblastoma (GBM) tumor cellularity and therapy response.
  • However, ADC fails to effectively stratify GBM patients by outcome, particularly in the upfront setting.
  • Advanced diffusion imaging models may offer improved prognostic capabilities.

Purpose of the Study:

  • To investigate if restriction spectrum imaging (RSI), a novel diffusion imaging model, can enhance risk stratification in newly diagnosed glioblastoma patients.
  • To compare the prognostic performance of RSI metrics against ADC metrics and conventional imaging features.
  • To assess these metrics in the post-operative, pre-radiation therapy setting.

Main Methods:

  • Retrospective analysis of pre-radiation therapy diffusion-weighted and structural MRI in 40 glioblastoma patients.
  • Calculation of RSI and ADC-based hypercellularity volume fractions and intensities within contrast-enhanced and FLAIR hyperintensity regions.
  • Evaluation of the association between diffusion imaging metrics, contrast-enhanced volume, FLAIR hyperintensity volume, and progression-free survival (PFS) and overall survival (OS) using Cox proportional hazards models.

Main Results:

  • RSI-FLAIR volume fraction emerged as the strongest independent prognostic metric for both PFS (P=.036) and OS (P=.007) in multivariate analysis.
  • Higher RSI-FLAIR volume fraction values correlated with earlier progression and shorter survival.
  • RSI-FLAIR 90th percentile intensity also showed association with OS (P=.043).
  • No significant association was found between ADC metrics and PFS or OS.
  • Contrast-enhanced tumor volume showed a trend towards significance for OS (P=.063).

Conclusions:

  • RSI-derived cellularity within FLAIR hyperintensity regions appears to be a more robust prognostic marker than ADC or conventional imaging for predicting early progression and poorer survival in glioblastoma.
  • Further validation in larger patient cohorts is warranted to confirm the predictive ability of RSI.
  • RSI may offer a valuable tool for improved risk stratification in newly diagnosed glioblastoma.