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How to Study Basement Membrane Stiffness as a Biophysical Trigger in Prostate Cancer and Other Age-related Pathologies or Metabolic Diseases
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Biexponential diffusion decay in formalin-fixed prostate tissue: preliminary findings.

Roger M Bourne1, Nyoman Kurniawan, Gary Cowin

  • 1Discipline of Medical Radiation Sciences, Faculty of Health Sciences, University of Sydney, Lidcombe, Australia. roger.bourne@sydney.edu.au

Magnetic Resonance in Medicine
|December 14, 2011
PubMed
Summary
This summary is machine-generated.

Magnetic resonance microimaging reveals distinct diffusion properties in normal and cancerous prostate tissues. Different cell types, like epithelium and stroma, contribute to the complex diffusion decay observed in diffusion imaging.

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Area of Science:

  • Biomedical Imaging
  • Prostate Cancer Research
  • Diffusion MRI

Background:

  • Understanding tissue microstructure is crucial for diagnosing prostate cancer.
  • Diffusion MRI (dMRI) is sensitive to tissue microstructure.
  • Prostate tissue comprises distinct epithelial and stromal compartments with potentially different diffusion characteristics.

Purpose of the Study:

  • To investigate the relationship between diffusion decay properties and tissue microstructure in normal and cancerous prostate tissues.
  • To determine if distinct diffusion characteristics of epithelial and stromal compartments contribute to the multiexponential diffusion decay observed in prostate tissue.

Main Methods:

  • Magnetic resonance microimaging was employed to measure diffusion decay over an extended b-factor range.
  • Biexponential fits were applied to diffusion decay data from formalin-fixed normal and Gleason pattern 3+4 prostate cancer tissue samples.
  • Diffusion coefficients were correlated with epithelial and stromal partial volumes derived from high-resolution apparent diffusion coefficient (ADC) data.

Main Results:

  • In normal prostate tissue, signal fractions of low and high ADC components correlated linearly with epithelial (R(2) = 0.6) and stromal (R(2) = 0.5) partial volumes, respectively.
  • Similar, albeit weaker, correlations were found in the cancer tissue sample.
  • Epithelium-rich voxels showed approximately 60% low ADC and 40% high ADC components, while stroma-rich voxels showed 20% low ADC and 80% high ADC components.

Conclusions:

  • Distinct diffusion properties exist between microscopically adjacent cell types in prostate tissue.
  • These differences in diffusion characteristics contribute to the multiexponential diffusion decay phenomenon observed in prostate tissue using diffusion MRI.
  • This study provides preliminary evidence for microstructural characterization of prostate tissue using diffusion MRI.