Literature DB >> 22162114

Biexponential diffusion decay in formalin-fixed prostate tissue: preliminary findings.

Roger M Bourne1, Nyoman Kurniawan, Gary Cowin, Timothy Stait-Gardner, Paul Sved, Geoffrey Watson, Supriya Chowdhury, William S Price.   

Abstract

Magnetic resonance microimaging was used to measure diffusion decay over an extended b-factor range in a formalin-fixed normal prostate sample and a Gleason pattern 3+4 cancer tissue sample. The coefficients of biexponential fits to diffusion decay data from 1600 voxels of dimension 160 × 160 × 160 μm(3) in each sample were correlated with underlying epithelial and stromal compartment partial volumes estimated from high-resolution apparent diffusion coefficient (ADC) data (40 × 40 × 40 μm(3) voxels) from the same tissue. In the normal tissue sample, the signal fractions of the low and high ADC components of the biexponential fits correlated linearly with partial volumes of epithelial tissue (R(2) = 0.6) and stromal tissue (R(2) = 0.5), respectively. Similar but weaker correlations were observed in the cancer sample. Epithelium-containing high spatial resolution voxels appeared to be composed of ∼60% low ADC and ∼40% high ADC component. Stromal voxels appeared to be composed of ∼20% low ADC and ∼80% high ADC component. This preliminary report suggests that distinctly different diffusion properties in microscopically adjacent cell types contribute to the multiexponential diffusion decay phenomenon in prostate tissue.
Copyright © 2011 Wiley Periodicals, Inc.

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Year:  2011        PMID: 22162114     DOI: 10.1002/mrm.23291

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  3 in total

1.  Magnetic resonance microscopy of prostate tissue: How basic science can inform clinical imaging development.

Authors:  Roger Bourne
Journal:  J Med Radiat Sci       Date:  2013-02-03

2.  Multisite concordance of apparent diffusion coefficient measurements across the NCI Quantitative Imaging Network.

Authors:  David C Newitt; Dariya Malyarenko; Thomas L Chenevert; C Chad Quarles; Laura Bell; Andriy Fedorov; Fiona Fennessy; Michael A Jacobs; Meiyappan Solaiyappan; Stefanie Hectors; Bachir Taouli; Mark Muzi; Paul E Kinahan; Kathleen M Schmainda; Melissa A Prah; Erin N Taber; Christopher Kroenke; Wei Huang; Lori R Arlinghaus; Thomas E Yankeelov; Yue Cao; Madhava Aryal; Yi-Fen Yen; Jayashree Kalpathy-Cramer; Amita Shukla-Dave; Maggie Fung; Jiachao Liang; Michael Boss; Nola Hylton
Journal:  J Med Imaging (Bellingham)       Date:  2017-10-10

Review 3.  Emerging methods for prostate cancer imaging: evaluating cancer structure and metabolic alterations more clearly.

Authors:  Adam Retter; Fiona Gong; Tom Syer; Saurabh Singh; Sola Adeleke; Shonit Punwani
Journal:  Mol Oncol       Date:  2021-08-30       Impact factor: 6.603

  3 in total

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