Infiltrative patterns of glioblastoma: Identification of tumor progress using apparent diffusion coefficient histograms

J Magn Reson Imaging. 2014 May;39(5):1096-103. doi: 10.1002/jmri.24258. Epub 2013 Sep 30.

Abstract

Purpose: To investigate whether apparent diffusion coefficient (ADC) histogram analysis can differentiate between patients presenting T2-progress and patients presenting stable T2-signal in glioblastoma.

Materials and methods: Fourteen patients presenting an isolated T2-progress and a matched control group exhibiting stable disease were included. Relative ADC value distribution within tumoral and peritumoral FLAIR hyperintensities were evaluated using ADC-histogram analysis. Severity and frequency of ADC shift between baseline, T2-progress, and subsequent T1-progress were analyzed using the Wilcoxon test.

Results: The shift of ADC histograms either to higher or to lower values in case of T2-progress was significantly more severe than in the control group (P value 0.05). Furthermore, a significant shift toward lower ADC values (P value 0.02) was detected when comparing ADC histograms of patients with T2-progress and subsequent T1-progress.

Conclusion: The basis for the observed ADC shift in isolated T2-progress may be time dependent: Initially, formation of peritumoral edema may cause an increase of ADC values that is followed by tumor cells infiltrating the surrounding tissue, causing a subsequent decrease of ADC values. The shift toward lower ADC values in case of subsequent T1-progress confirms this hypothesis and provides further evidence for T2-progress being an intermediate step between stable disease (SD) and T1-progress.

Keywords: ADC-histogram; RANO-criteria; T2-progress; glioblastoma.

MeSH terms

  • Adult
  • Aged
  • Algorithms*
  • Brain Neoplasms / pathology*
  • Diffusion Magnetic Resonance Imaging / methods*
  • Disease Progression
  • Female
  • Glioblastoma / pathology*
  • Humans
  • Image Enhancement / methods*
  • Image Interpretation, Computer-Assisted / methods*
  • Male
  • Middle Aged
  • Neoplasm Invasiveness
  • Numerical Analysis, Computer-Assisted
  • Reproducibility of Results
  • Sensitivity and Specificity