Irene M.L. van Kalleveen1,2, Jurgen H. Runge1,3, Wybe J.M. van der Kemp4, Debra S. Rivera1,2,5, Jaap Stoker1, Dennis W.J. Klomp4, and Aart J. Nederveen1
1Radiology, Academic Medical Center, Amsterdam, Netherlands, 2Spinoza Centre, Amsterdam, Netherlands, 3Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom, 4Radiology, UMC Utrecht, Utrecht, Netherlands, 5MR Coils, Zaltbommel, Netherlands
Synopsis
The standard evaluation of detecting liver parenchyma
is invasive liver biopsy, while MRS is a non-invasive measurement to monitor
metabolites. Using 31P spectroscopy it is possible to follow metabolic
changes in the liver and the functionality of the liver during fructose uptake
by measuring ATP levels. Going to ultra-high field strength, we are more
sensitive to ATP levels and are able to use more localized MRS sequences (e.g.
3D CSI). We have shown we are able to monitor ATP levels during fructose
uptake in vivo in the liver at 7T and
see a decrease in ATP levels during the uptake.
Purpose
The reference standard for the evaluation of liver
parenchyma is invasive liver biopsy. MR spectroscopy (MRS) facilitates
non-invasive measurements of several relevant metrics (e.g. steatosis
1,2).
Especially non-proton MRS
3 opens the gateway to metabolic imaging,
by which metabolic processes can be followed in vivo. However, these methods
are less sensitive due to the low abundance of the relevant nuclei, resulting
in a reduced signal-to-noise ratio (SNR). At ultra-high field MRI (e.g. 7T),
the spectral resolution and sensitivity to obtain metabolic information are
increased. However,
B0 and
B1 field inhomogeneities
become more pronounced at ultra-high-field, while the energy deposition of RF
pulses becomes more challenging. With
31P spectroscopy the
functionality of the liver during fructose uptake
4 can be tracked
by measuring ATP signals (α, β, γ). During the uptake of fructose hepatic ATP levels are depleted during
the phosphorylation of fructose to fructose-1-phosphate as this process (unlike
glucose metabolism) has no negative feedback loop. This process is altered in
certain liver diseases. Several studies have been performed at 1.5 and 3T
4,5.
The use of ultra-high field MRI could help further investigate this metabolic
process and use the increase in SNR to localize the fructose uptake using 3D
CSI with fewer averages.
Methods
A surface coil consisting of two antennas tuned for
proton and two loop coils tuned for phosphorus (MR Coils B.V., Zaltbommel, The
Netherlands) were used with a 7T whole body MR scanner (Philips, Cleveland,
USA).
1H scout images for planning the spectroscopy sequences were
made. For the fructose challenge we used a dynamic 3D CSI scan with an
adiabatic half passage for excitation (FOV = 320×320×320 mm
3; TR = 700 ms; TE = 0.4 ms NSA = 1; voxel
size = 40×40×40 mm
3; NSA = 1; scan time = 4:42 min;
31P
transmitter offset = -12 ppm ). For the fructose challenge a solution of 75 grams
of fructose for oral intake was given to a fasted healthy volunteer before
going into the scanner. The spectra from four neighbouring voxels in the liver were
averaged prior to the spectral fitting in JMRUI (AMARES). Mean and standard
deviation of the mean were plotted in the time domain of 20-100 minutes.
Results
We obtained 3D CSI spectra in the liver (figure 1) and
monitored an uptake of fructose by following ATP levels as shown in figure 2. The
black banding in the scout image is due to signal cancelling between the two 1H
antennas, however this effect is not present in the 31P
spectroscopy, due to a difference in hardware settings. In figure 2 the levels
of the different ATP components are plotted. Note the decrease in ATP levels,
especially in the β –ATP, as a result of the fructose uptake in the liver.Discussion
a.j.nederveen@amc.uva.nl
The change over time during the fructose uptake seems
to be the most pronounced in β-ATP. This might be caused by the residual PCr signal
close to γ-ATP, resulting in some mismatch of the spectral fitting. For α-ATP, the
NADH resonance frequency might contaminate the spectral analysis. This
metabolite is closely positioned next to α-ATP and during the fructose uptake α-ATP
is converted to NADH
6. This will cause some errors during the spectral fitting
of α-ATP, resulting in a smaller decrease of α-ATP during the uptake. On
average, after 50 minutes the fructose uptake reaches the maximal effect and
the ATP levels should be at the lowest
4, resulting in long scan
time. Additionally there is some intersubject variability, which necessitates adding
some extra dynamic scans. However, together with the preparation scans and the
time during uptake of the fructose, scan time can increase drastically.
According to Bawden et al.
4 it might be possible to use a
combination of fructose and glucose. This will accelerate the uptake in the
liver and hence the ATP-depletion. However, fructose is converted in the liver,
while glucose is converted in the whole body, resulting in less change in ATP
levels in the liver. Therefore some loss in sensitivity can be expected. If
only the nadir of the ATP levels is required (and not full recovery), this could also shorten the scan
time.
Conclusion
We have shown as a proof of principle that we are able
to monitor the fructose uptake in the liver using a 3D CSI sequence at 7T. We
can see the ATP dropping during the fructose uptake, as expected. This effect seems
to be best visible and quantifiable in β -ATP.Acknowledgements
No acknowledgement found.References
1. Cowin et al. J
magn reson imag 2008;
2. Georgoff et al.
Am J Roentgenol. 2012;
3. Chmelik et al.
NMR in biomed;
4. S.J.
Bawden et al. Clin Nutr ESPEN 2015; 5. Boesch et al. Magn
Reson Imaging 1997; 6. Tappy et al. Nutr Metab 2013.