Dana C. Peters1, Stefan Markovic2, Qingjia Bao2, Dina Preise2, Keren Sasson2, Lilach Agemy2, Avigdor Scherz2, and Lucio Frydman2
1Radiology and Biomed Eng., Yale University, New Haven, CT, United States, 2Weizmann Institute of Science, Rehovot, Israel
Synopsis
Deuterium metabolic imaging (DMI) is a new method to map abnormal
metabolism of tumors. bSSFP might provide high SNR for DMI, due to the high
T2/T1 ratios of the injected deuterated glucose, and the lactate, which arises
from abnormal metabolism. We developed a linear-combination balanced SSFP
method for spectrally resolving glucose, lactate and water, using predicted
signal evolutions for different bSSFP phase-cyclings. Our method was able to generate images of the
individual compounds in phantoms and in vivo.
Background
Deuterium
metabolic imaging (DMI, 1-3) injects metabolites such as 2H6,6’-glucose
and images at
the deuterium (2H) resonance to monitor the transformation of
glucose into 2H3,3’-lactate– a hallmark of abnormal tumor metabolism by
the “Warburg Effect”– and into 2H-water (4). DMI relies on 2H’s
short T1s to provide chemical shift imaging (CSI) with acceptable SNR, despite 2H’s
low gyromagnetic ratio and the metabolites’ low concentrations. An option for increasing MRI’s SNR/time is using
balanced steady-state free precession, bSSFP, which provides the optimal
approach for the T2/T1 ratios characteristic of deuterated compounds (5). Moreover,
linear combination bSSFP (LC-SSFP) has been explored as a water-fat separation
method (6-7), providing clean multiplexing of two frequencies when using two
phase-cyclings. We therefore explore here
LC-SSFP’s potential as a spectroscopic imaging method for DMI, focusing on its
ability to resolve three metabolites resonating at 1.3ppm (lactate), 3.7ppm
(glucose), and 4.8ppm (water). Phase-cycling
schemes that use the signal evolution of each metabolite as a “fingerprint” to
resolve them are proposed, and demonstrated on phantoms. LC-SSFP’s superior SNR
is then applied to DMI mouse model of orthotopic pancreatic cancer, to pinpoint
the position of the abnormal metabolism.Methods
Figure 1A shows the magnetization vs. frequency behaviors predicted
for bSSFP, upon utilizing four different phase-cyclings of the RF pulses; also
indicated are the positions of the three targeted metabolites at the 15.2T
field here employed. Figure 1B shows
images (phase and magnitude) arising for each of these phase-cyclings, for a
phantom consisting of 10mm tubes of deuterated lactate, glucose and water (all
at 200mM). Figure 1C shows the method proposed
to separate the metabolites: to isolate each of them, the image-space signal of
a pixel for the ith phase-cycling is modeled using the
theoretically calculated wij weights for each metabolite (indexed as
j, each with a different frequency νj and concentration
Cj). Based on the signal evolution or
“fingerprint” of the metabolites under this series of phase-cyclings, the
concentration is determined, using matrix inversion (pseudo-inverse, “pinv”).
All processing was performed in Matlab.
All studies
were performed on a 15.2T Bruker scanner, unless noted. The scanner bSSFP
sequence was modified to add custom phase-cyclings, denoted ‘0°’, ‘90°’, ‘180°’
and ‘270°’ –where 0° indicates that the RF excitation phase increases by 0° in
each TR, etc. Scan parameters were: TR/θ =5.7ms/60°,
40mm FOV, 8mm slice thickness, 32x32 matrix. The carrier frequency was set @4.3ppm, between
glucose and water. These parameters were chosen to obtain a glucose-only image
(0°- i180°), and lactate and water only image (0°+ i180°). Phantoms containing deuterated compounds
(lactate/acetone, glucose, and water) were imaged. KPC-based mouse models of pancreatic cancer were
also imaged, in an IACUC approved study.
LC-SSFP tests of spectral isolation were compared against CSI experiments
(TR/θ=95ms/90°) performed at equal spatial resolution and scan times.Results
Phantom 1H
studies of a bottle subject to a sizable inhomogeneity, are shown in Figure 2. Plots
in blue show the measured signal at three defined frequencies, both in magnitude
and phase, for each phase-cycling. The
theoretical evolution in each phase-cycling that is predicted based on these
frequencies, agrees well with the actual signal. A 2H phantom study is shown in
Figure 3, comprising separate bottles of deuterated water, lactate and glucose.
Actual and theoretical signal (magnitude/phase) are plotted for each
phase-cycling, showing good agreement (Figure 3A). Figures 3B show the
resultant isolated metabolites (i.e. C=W-1S) using both
self-calibrated weights and theoretically-determined weights. The isolation is not perfect due to the
phantom’s very intense lactate signal, but both methods work reasonably well –even
if the self-calibrated method is superior.
Figure 4 shows
the use of LC-SSFP (0°- i180° image), to isolate deuterated water+lactate from glucose
in vivo on a pancreatic cancer mouse model. compared to results from 2H
CSI. Water and glucose were well
separated, and the weights obtained by the two methods agree well. Figure 5
shows the use of LC-SSFP to isolate two metabolites (water/glucose) early after
an injection of glucose into another mouse with a large tumor, at an early
post-injection time-point when lactate still is not strongly present. The
physiology of the separation is as expected: water exhibits a diffuse location,
while glucose appears as a rim about the tumor, with greater deposition in the
kidneys and bladder.Discussion
bSSFP has the
potential to improve DMI’s SNR thanks to the large T2/T1 ratios of deuterated
metabolites. This pilot study demonstrated
that LC-SSFP, a method known for fat-water separation, can be used to
spectrally resolve three deuterated metabolites, using either empirically
self-calibrated or theoretically-derived weights, and matrix inversions. Using standard LC-SSFP glucose can be
isolated, generating information similar to FDG-PET (Figure 4). We found that
four phase-cyclings are enough to generate separation of three metabolites,
using an unoptimized protocol. However,
questions remain regarding the optimal TR and phase-cycling schemes. Furthermore, it is known that some forms of
LC-SSFP result in lower SNR efficiency (6), since the acquired signal is not
always maximal in each phase-cycling. The SNR of this method needs to be further
characterized and optimized but, overall, spectroscopic LC-SSFP shows potential
promise for improving DMI.
Acknowledgements
This
work was supported by the Kimmel and by the Clore Institutes for Magnetic
Resonance (Weizmann Institute), by the Israel Science Foundation (grant
965/18), the Thompson Family Foundation, and the Israel Cancer Research
Foundation. DCP acknowledges the Benoziyo Endowment Fund for the Advancement of
Science, for a Visiting Faculty Fellowship to the Weizmann Institute, and Yale
Radiology for a sabbatical. References
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