Surface-to-volume ratio mapping of tumor microstructure using oscillating gradient diffusion weighted imaging.

TitleSurface-to-volume ratio mapping of tumor microstructure using oscillating gradient diffusion weighted imaging.
Publication TypeJournal Article
Year of Publication2016
AuthorsReynaud O, Winters KVeronica, Hoang DMinh, Wadghiri YZaim, Novikov DS, Kim SGene
JournalMagn Reson Med
Volume76
Issue1
Pagination237-47
Date Published2016 07
ISSN1522-2594
KeywordsAlgorithms, Animals, Brain Neoplasms, Cell Line, Tumor, Diffusion Magnetic Resonance Imaging, Female, Glioma, Image Enhancement, Image Interpretation, Computer-Assisted, Imaging, Three-Dimensional, Mice, Mice, Inbred BALB C, Oscillometry, Reproducibility of Results, Sensitivity and Specificity, Tumor Burden
Abstract

PURPOSE: To disentangle the free diffusivity (D0 ) and cellular membrane restrictions, by means of their surface-to-volume ratio (S/V), using the frequency-dependence of the diffusion coefficient D(ω), measured in brain tumors in the short diffusion-time regime using oscillating gradients (OGSE).

METHODS: In vivo and ex vivo OGSE experiments were performed on mice bearing the GL261 murine glioma model (n = 10) to identify the relevant time/frequency (t/ω) domain where D(ω) linearly decreases with ω(-1/2) . Parametric maps (S/V, D0 ) are compared with conventional DWI metrics. The impact of frequency range and temperature (20°C versus 37°C) on S/V and D0 is investigated ex vivo.

RESULTS: The validity of the short diffusion-time regime is demonstrated in vivo and ex vivo. Ex vivo measurements confirm that the purely geometric restrictions embodied in S/V are independent from temperature and frequency range, while the temperature dependence of the free diffusivity D0 is similar to that of pure water.

CONCLUSION: Our results suggest that D(ω) in the short diffusion-time regime can be used to uncouple the purely geometric restriction effect, such as S/V, from the intrinsic medium diffusivity properties, and provides a nonempirical and objective way to interpret frequency/time-dependent diffusion changes in tumors in terms of objective biophysical tissue parameters. Magn Reson Med 76:237-247, 2016. © 2015 Wiley Periodicals, Inc.

DOI10.1002/mrm.25865
Alternate JournalMagn Reson Med
PubMed ID26207354
PubMed Central IDPMC4724565
Grant ListP30 CA016087 / CA / NCI NIH HHS / United States
P41 EB017183 / EB / NIBIB NIH HHS / United States
R01 CA160620 / CA / NCI NIH HHS / United States
Related Institute: 
MRI Research Institute (MRIRI)

Weill Cornell Medicine
Department of Radiology
525 East 68th Street New York, NY 10065