Weiguo Li1,2,3, Jin Gao3, Andrew Gordon2, Kejia Cai4, Andrew Larson2, and Richard Magin3
1Research Resource Center, University of Illinois at Chicago, Chicago, IL, United States, 2Radiology, Northwestern University, Chicago, IL, United States, 3Bioengineering, University of Illinois at Chicago, Chicago, IL, United States, 4Radiology, University of Illinois at Chicago, Chicago, IL, United States
Synopsis
Brown adipose tissue (BAT) is increasingly considered
a target organ for the treatment of metabolic disease. Persuasive evidence has
shown that enhancement of the function of brown and beige adipocytes in humans
could be very effective for treating type 2 diabetes and obesity. However,
clinical studies have been limited by the lack of non-invasive tools for
characterizing this tissue in humans. In this study, we explored the feasibility of
using high b-value diffusion-weighted MRI for detecting the distribution of interscapular
brown adipose tissue.
PURPOSE
Brown adipose tissue (BAT) is
now considered a potential target for the treatment of obesity and
obesity-related diseases in humans, including type 2 diabetes, atherosclerosis
and lipid disorders.1 Diffusion-weighted magnetic resonance spectroscopy has been used to probe lipid
droplet microstructures by characterizing changes in the diffusion of lipid protons.2, 3 However, MRI detection of BAT is needed to quantify biodistribution and to evaluate
the impact of BAT targeted therapies. The objective of this study was to investigate
the potential to visualize interscapular BAT (iBAT) with high b-value diffusion-weighted
MRI at 9.4 T in a rodent model.METHODS
All studies were performed using a 9.4T 31 cm bore
Agilent MRI scanner (Santa Clara, CA) with a 38 mm quadrature transceiver mouse
coil. A test phantom was made using corn oil (control) and four samples of BAT dissected
from the interscapular region (iBAT) of male mice (C57BL/6, approved by the IACUC).
A diffusion-weighted stimulated echo sequence was used with following
acquisition parameters: TR/TE = 2000/30.5 ms, mixing time = 382 ms, δ = 11 ms, Δ = 400 ms, slice thickness = 1.5 mm, field of view (FOV) =
36 mm × 36 mm, matrix = 64 × 64, average = 25, and 53 b-values ranging from 0
to 858,022 s/mm2 with a maximal diffusion gradient strength of 50 Gauss/cm.
An ex vivo mouse was examined using the same sequence with the same parameters
except 30 b-values ranging from 0 to 858,022 s/mm2, FOV of 36 mm × 50
mm, and matrix of 64 × 96. Anatomic T2-weighted images were acquired
using a fast spin echo sequence with the following parameters: TR/TE = 1000/10
ms, echo train length = 8, matrix = 256 × 256, FOV = 36 × 50 mm, slice
thickness = 1.5 mm, averages = 2. Image post-processing was performed in Matlab
(MathWorks). Signal-noise-ratios (SNRs) were calculated from region of interest
(ROIs) manually selected within each phantom sample and from ROIs drawn on iBAT
and subcutaneous white adipose tissue (sWAT). Color-coded high b-value
diffusion weighted images were co-registered and overlaid on the T2
weighted images to highlight the voxel-wise changes at high b-values.RESULTS
Relatively lower and more heterogeneous signals were observed
for each of the 4 sample phantoms (Fig.1A), when compared to the corn oil in T2
weighted images. However,
on the diffusion-weighted images (Fig. 1B, C, D), when compared to the corn
oil, the four iBAT samples showed relatively lower signal intensities at low b
values (b = 2.15 × 103 s/mm2, Fig.1B), equivalent signals
at b = 4.20 × 105 s/mm2 (Fig. 1C), and clearly higher signals
at b value of 8.58 × 105 s/mm2 (Fig. 1D),
(b-value at which corn oil signal was no longer visible). As expected, only adipose
tissues were visible in the heavy diffusion weighted images (Fig. 2B, C) of the ex vivo mouse. An anatomic image with
color-coded overlay of the diffusion weighted image (b = 8.58 × 105
s/mm2) shows that the only remaining signal was from areas
corresponding to iBAT (Fig. 2D). We further found that the iBAT signal decayed
slower than the corn oil (Fig. 3A) and slower than the sWAT (Fig. 3B) as diffusion-weighting
increased.DISCUSSION
The clinical ability to quantify BAT deposition would
provide enormous benefits permitting in vivo assessment of whether a brown
adipocyte phenotype has been achieved by pharmacological intervention. We found
that the low diffusivity of iBAT could be used for iBAT detection with high
b-value diffusion MRI, in which only signals from tissues with slow diffusion remained
visible. In addition, iBAT in both phantom and mouse showed a non-linear
relationship between the log-scaled SNRs and b-values (Fig. 3) indicating non-mono-exponential
diffusion MR signal behavior and the existence of possible multiple diffusion
compartments, which could offer the potential to use diffusion-model-based approaches for quantification of
adipose tissues in future studies.CONCLUSION
In the current study, we demonstrated the feasibility
of using high b-value diffusion-weighted MRI for detection of iBAT. Additional preclinical
studies are on-going to optimize scanning parameters for improved sensitivity, and
provide both additional histological validation and comparisons to other
methods, e.g., 18F-FDG-PET,4 fat-fraction imaging methods,5, 6 and
intermolecular zero-quantum MRI.7 Further
studies are needed to validate this method for translational purposes since the
high b-values used in this study may be difficult to achieve in clinical
settings.Acknowledgements
No acknowledgement found.References
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