Impact of transcytolemmal water exchange on estimates of tissue microstructural properties derived from diffusion MRI.

Li H, Jiang X, Xie J, Gore JC, Xu J
Magn Reson Med. 2017 77 (6): 2239-2249

PMID: 27342260 · PMCID: PMC5183568 · DOI:10.1002/mrm.26309

PURPOSE - To investigate the influence of transcytolemmal water exchange on estimates of tissue microstructural parameters derived from diffusion MRI using conventional PGSE and IMPULSED methods.

METHODS - Computer simulations were performed to incorporate a broad range of intracellular water life times τ (50-∞ ms), cell diameters d (5-15 μm), and intrinsic diffusion coefficient D (0.6-2 μm /ms) for different values of signal-to-noise ratio (SNR) (10 to 50). For experiments, murine erythroleukemia (MEL) cancer cells were cultured and treated with saponin to selectively change cell membrane permeability. All fitted microstructural parameters from simulations and experiments in vitro were compared with ground-truth values.

RESULTS - Simulations showed that, for both PGSE and IMPULSED methods, cell diameter d can be reliably fit with sufficient SNR (≥ 50), whereas intracellular volume fraction f is intrinsically underestimated due to transcytolemmal water exchange. D can be reliably fit only with sufficient SNR and using the IMPULSED method with short diffusion times. These results were confirmed with those obtained in the cell culture experiments in vitro.

CONCLUSION - For the sequences and models considered in this study, transcytolemmal water exchange has minor effects on the fittings of d and D with physiologically relevant membrane permeabilities if the SNR is sufficient (> 50), but f is intrinsically underestimated. Magn Reson Med 77:2239-2249, 2017. © 2016 International Society for Magnetic Resonance in Medicine.

© 2016 International Society for Magnetic Resonance in Medicine.

MeSH Terms (11)

Animals Artifacts Body Water Cell Line, Tumor Cell Membrane Cell Membrane Permeability Diffusion Magnetic Resonance Imaging Mice Neoplasms, Experimental Reproducibility of Results Sensitivity and Specificity

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