Synopsis
This paper is to discuss the impact of fat on
the Gd-based contrast behavior in a mixture of water based Gd-BOPTA solution
and fat. A set of vials, contains such mixtures with various fat fraction and
Gd-BOPTA concentration, was constructed and scanned using both Turbo Spin Echo
(TSE) with 3 point Dixon, and VIBE-Dixon. With VIBE-Dixon, the slopes of the
regression (relaxivity) of R1 vs. [Gd] in water were very close among groups
with various fat fraction; while with TSE image, the slopes of R1 vs. [Gd] in
whole mixture were close among vial groups.Target Audience
Radiologists, MRI physicists and scientists.
Purpose
Dynamic contrast-enhanced MRI (DCE-MRI) is widely used for the diagnosis
of tumors in clinical applications when fat and enhancing tissue co-exist in one voxel (1, 2). In these cases fat
compartment does not get enhanced and its impact on the behavior of the
contrast are not fully investigated. This work was to discuss the impact of fat
on the behavior of Gd-based contrast (3, 4).
Methods
Twenty-four 15 ml vials were filled with mixture of water based Gd-BOPTA
(MultiHance, Bracco Diagnostic, NJ) solution, 3% emulsifying wax and canola oil
(fat). Vials were divided into four groups; each had six vials with the same fat
volume fraction. The fat volume fraction were 0, 20%, 33%, 50%. In each group,
the concentration of Gd-BOPTA ([Gd-BOPTA]) in the water based solution in each
vial was 0.2 mM, 0.4 mM, 0.5 mM, 0.6 mM, 0.8 mM and 1 mM respectively. The
water based Gd solution was not heated and there were big visible fat droplets
in the suspension (Figure 1). The phantom was scanned the next day on a
clinical 3T scanner (Tim Trio, Siemens, Germany). First, the proton density
fat fraction (PDFF) was determined using signal voxel spectroscopy (MRS STEAM).
Then T
1 values were measured in both water-only and in-phase images
acquired with VIBE-Dixon (5) (that is, 3D Spoiled Gradient Echo sequence) and
Turbo Spin Echo sequence with 3 point Dixon. With Vibe-Dixon TR=10ms and flip
angles =5°, 10°, 15°, 20°, and 25°. With TSE TR=100ms,
200ms, 400ms, 800ms, 1600ms, 3200ms, and 5000ms and echo train length=5. The
in-phase and the water-only images were used to calculate T
1 values.
Gd-BOPTA concentration were calculated both in water ([Gd]
water) and
in the whole water-fat mixture ([Gd]
all). Regressions of R
1 (1/T
1) vs. [Gd]
water
and [Gd]
all were performed, slopes of the regression should be equal
to the relaxivity.
Results
The PDFF in
four groups were 0, 25%, 31% and 45% respectively. The calculated T
1
using VIBE-Dixon were different with that using TSE, both with water only
images and with in-phase images, for all vials with fat in the mixture (Figure
2 & 3). The regression slope of R1 vs. [Gd]
water in
water image acquired with VIBE-Dixon were the closest (minimum standard
deviation among all 4 figures) among all four PDFF groups. In images acquired
with TSE, however, the regression slopes were the closest for R
1 vs.
[Gd]
all in water only images.
Discussions
Given that the Gd-based contrast does not enter the fat component, and
the fat-water mixtures were prepared the day before the experiment, the
difference in measured T
1 and measured relaxivity using different
sequence (we think it is mainly the difference in TR) is very interesting and
may provide important information in the DCE-MRI applications. Previous studies
from other group also demonstrated that the T
1 measured using
variable flip angle method with SPGRE are different from that measured with TSE
technique in tissue, indicating that the T
1 decay in tissue might
not be mono-exponential (6). It was also demonstrated that even with fat
suppression or spectroscopy technique, the T
1 measured in water-only
signal or images will be affected by the fat component in the mixture (7). Our results were similar with these
previous results but further indicating that there might be some exchange of
proton between water and fat in a mixture, affecting the impact of the Gd in
the mixture and making the apparent relaxivity to change with the increase of TR.
Acknowledgements
The author would thank Dr. Chen Lin , Dr. Wei Huang , Dr. Harry H. Hu, Dr. Xiaodong Zhong, and Dr. Bruce Spottiswoode for their help.References
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