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Related Experiment Videos

The link between diffusion MRI and tumor heterogeneity: Mapping cell eccentricity and density by diffusional variance

Filip Szczepankiewicz1, Danielle van Westen2, Elisabet Englund3

  • 1Lund University, Department of Clinical Sciences Lund, Medical Radiation Physics, Lund, Sweden.

Neuroimage
|July 25, 2016
PubMed
Summary

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Diffusion MRI can now map brain tumor cell eccentricity and density using the novel DIVIDE technique. This method distinguishes microscopic anisotropy from isotropic heterogeneity for improved tumor characterization.

Area of Science:

  • Neuroimaging
  • Biophysics
  • Oncology

Background:

  • Diffusion MRI (dMRI) probes tumor heterogeneity via apparent diffusivity variance.
  • The link between diffusional variance and specific tissue microstructural features remains unclear.

Purpose of the Study:

  • To test if diffusional variance in brain tumors correlates with cell eccentricity and density.
  • To validate a novel dMRI encoding scheme, diffusional variance decomposition (DIVIDE), for quantifying these microstructural properties.

Main Methods:

  • Performed dMRI with DIVIDE on 7 meningiomas and 8 gliomas.
  • Quantified total mean kurtosis (MK_T) and decomposed it into microscopic anisotropy (MK_A) and isotropic heterogeneity (MK_I).
  • Correlated dMRI parameters (MK_A, MK_I, FA, μFA) with quantitative microscopy measures of cell eccentricity and density.
Keywords:
Diffusion tensor distributionDiffusional kurtosisDiffusional varianceMicroscopic anisotropyQuantitative microscopyTumor heterogeneity

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Main Results:

  • DIVIDE parameters showed excellent agreement with microscopy: MK_A correlated strongly with cell eccentricity (r=0.95) and MK_I with cell density variance (r=0.83).
  • dMRI anisotropy (FA, μFA) correlated well with structural anisotropy from microscopy.
  • DIVIDE successfully decomposed MK_T, revealing MK_A is specific to cell eccentricity and MK_I to cell density variance.

Conclusions:

  • DIVIDE enables non-invasive mapping of cell eccentricity and density in brain tumors.
  • This study establishes a direct link between dMRI parameters and specific tissue microstructural heterogeneity.
  • Decomposition of diffusional variance improves the interpretation of tumor heterogeneity and diffusion anisotropy.