Synopsis
Proton MR spectroscopy of healthy human
liver was performed at 3 T MR scanner. The
purpose of this study was to estimate glycogen (Glycg), choline-containing
compounds (CCC), water, and lipid (-CH2-)n relaxation times T1, T2, and absolute concentration
of Glycg, CCC, and fat. Experiments were performed using multiple
breath-hold technique. Spectra were processed by LCModel.
T1 and T2 values were obtained by mono-exponential fitting
spectral intensities versus repetition or echo times. Quantification
of liver Glycg, CCC and lipids is important for understanding changes in lipid
and glucose metabolism due to metabolic disorders. Introduction
1H-MR
spectra of the liver contain spectral lines of glycogen (Glycg) and
choline-containing compounds (CCC) in addition to the strong water and lipid (Lip) resonances.
Quantification of CCC is important because choline is related to malignancy.
1,2
Liver glycogen serves
as a form of energy storage. It can be quickly mobilized to meet a need for
glucose.
3 Glycogen and lipid metabolism is involved in metabolic
disorders (diabetes mellitus, obesity).
3-5 However, quantification
of Glycg, CCC and their relaxation times is a challenge. Small Glycg and CCC
spectral lines “disappear” from the spectrum already due to slight respiratory
motion. In the present work, we applied multiple
breath-hold
1H-MRS technique to obtain liver spectra. Our aim was to
measure Glycg, CCC, water, and lipid (-CH
2-)
n relaxation
times T
1, T
2 and to estimate absolute concentration of liver
Glycg, CCC and fat.
Methods
Two groups of healthy volunteers were
recruited. The first group (5 males, median age 26 years, range 24-64)
participated in relaxation time experiments. Metabolite concentrations were
estimated using the second group (8 males, median age 41.5 years, range: 28-64,
mean body mass index 26.2±1.2 kg/m
2, range: 24.3-27.9). Experiments
were performed on a Philips (Achieva) and General Electric PET/MR (Signa) 3T scanners.
Expiration breath-hold (EBH) single-voxel PRESS sequence was used for
localization (Fig. 1). Relaxation time experiments were performed on a Philips
scanner (BW
2000 Hz, voxel
size 35x35x35 mm
3). Water T
1, T
2 were computed
using the spectra acquired at seven TRs (range: 710-4000 ms, two dummy excitations,
number of scans (NS) 2, TE 40 ms), and seven TEs (range: 40-175 ms, TR 1500 ms,
NS 2). Water suppressed (WS) spectra were used for estimation of Glycg, CCC and
lipid relaxation times. Three spectra were acquired for each combination TR and
TE. Two dummy excitations were followed by 4 scans. T
1 values were
estimated from the spectra measured at TE 60 ms and TRs between 720, and 300
ms. T
2 values were computed from the spectra measured at TE range
40-150 ms (TR 1500 ms). Summed signals of Glycg H2H4’,
H3 and H5 resonances (Fig. 2) were used to estimate
the
apparent relaxation times.
5 Glycg, CCC and lipid
content were quantified using the spectra collected on a GE scanner: voxel size
30x30x30 mm
3, BW 5000 Hz, 4096 points, TR/TE 2000/35 ms. 16 non-WS scans were
followed by 32 WS acquisitions. FIDs were acquired in a “two-scans mode” (2
phase cycle steps, NS 2), which means that 8 non-WS and 16 WS FIDs were saved
separately and processed by LCModel. Relaxation
times were estimated by monoexponential fitting of the spectral intensities (Fig. 3). Lipid, CCC and Glycg content
was estimated from relaxation corrected spectral intensity ratios to
unsuppressed water line. Reference concentration 37 320 mM of “NMR-visible”
water in the liver was used. We assumed that liver
contains 0.711 g H
2O per 1 g wet weight tissue and its density is 1.051
g/cm
3.
4,5 Furthermore, it was assumed that 10% of tissue
water is “NMR-invisible”. Lipid concentration was quantified using (-CH
2-)
n
intensities.
6 Glycg concentration was estimated from the spectral intensities
H2H4’, H3 and H5.
5 Results and discussion
Despite of
breath-hold were many spectra distorted by involuntary movement. Corrupted
spectra were excluded. Larger voxels were used to improve SNR. Figure 2 shows
representative WS spectrum of healthy liver. Relaxation times and metabolite
concentrations are shown in Tab. 1. To our knowledge, this is the first 3 T MRS
study in which Glycg, CCC, and lipid T
1 relaxation times of healthy human
liver were estimated. T
2 relaxation times of Glycg and CCC and their
concentrations can only be compared with the results of Ouwerkerk et al.
5 Our values (Tab. 1) are in good
agreement with this study.
Conclusion
Multiple breath-hold
1H-MRS technique
improves quantification of liver Glycg and CCC.
Acknowledgements
No acknowledgement found.References
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