Ivica Just1,2, Michael Leutner2, Stefan Wampl3, Radka Klepochová2, Siegfried Trattnig1,4,5, Alexandra Kautzky-Willer2, and Martin Krššák2
1High-Field MR Centre, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria, 2Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria, 3High-Field MR Center, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria, 4CD laboratory for Clinical Molecular MR imaging (MOLIMA), Vienna, Austria, 5Institute for Clinical Molecular MRI in the Musculoskeletal System, Karl Landsteiner Society, St. Pölten, Austria
Synopsis
Detection of metabolites from human
gallbladder poses some challenges due to its size and position. We
compared breath-hold and respiratory triggered acquisition by 1H SVS STEAM sequence
on patients in supine position at 3T. 14 peaks of bile components were detected
using both acquisition setups. Quantification of metabolite concentrations, corrected
with measured T2app relaxation times, showed results within the range of
previously published data. STEAM sequence proved to be feasible for measurement
of bile components at 3T in vivo,
providing sufficient spectral quality for metabolite quantification in supine position with comparable results in both
breath-hold and PACE navigated acquisition.
Introduction
Bile components of human gallbladder were detected
previously at 3T by 1H MRS PRESS sequence with TE of 30-35ms1,2. As
size and position of the gallbladder pose some measurement challenges,
optimization of the protocol was suggested regarding patient position (supine
vs prone) and respiratory gating or free breathing1,2,3.
STEAM sequence provides shorter TE, resulting in less signal decay and larger
range of possible TEs for T2 estimation. In this study, we measured
and quantified biliary components in vivo by 1H MRS STEAM in supine
position and compared breath-hold with respiratory triggered acquisition.
Apparent T2 relaxation times (T2app) by STEAM were also
measured on healthy volunteersMethods
All
subjects were measured in supine position at 3T Prisma Fit scanner (Siemens) after
overnight fasting using combination of spine and body flex coil for signal
reception. 14 patients (7 males and 7 females) with increased LDL cholesterol
levels >130 mg/dl, mean age 57 ± 6.43 years and BMI of 26.15 ± 1.91 kgm-2 participated in this pilot
study. MRS voxel (10x10x10mm) was placed into gallbladder using three
orthogonal planes acquired by HASTE sequence (Fig.1). STEAM sequence with
TE = 20 ms, TM = 10 ms, TR = 4 s and water suppression was used. In breath-hold setup
(BH), 4 individual transients were acquired during one breath-hold, repeated 4
or 5 times, resulting in 16-20 individual spectra. Additional water
unsuppressed spectrum with the same parameters was acquired. Afterwards, STEAM
with PACE navigator was applied (NAV), with the same measurement parameters,
detecting 64 individual transients, followed by 8 scans of water. Whole
protocol took approximately 30 minutes.
Additionally, 6 healthy volunteers (3 f & 3 m, mean age 33.7 years and BMI
23.4 kgm-2) were measured using the same setup for the estimation of
T2app relaxation times (TEs of 20, 28, 40, 60, 90 and 120 ms, with
16, 24 or 32 averages for sufficient SNR) with acquisition during separate breath-holds.
All spectra were post-processed in jMRUI, individual transients were frequency
aligned and phased. Transients with linewidth of Chol_PL at 3.24 ppm bigger
than 25 Hz, spectra with visceral or hepatic lipids contamination were
discarded. Remaining spectra were averaged and 14 metabolic signals were fitted
in AMARES with prior knowledge based on literature1. Concentrations
of nine metabolites in mM were calculated1,2,3 using T2app
correction based on the results of our measurements (fitted by
monoexponentional two-parameter function in MATLAB). For water signal, T2
value of 172 ms was used2. Concentrations of metabolites were
calculated also from 6 healthy volunteers participating in T2app
measurements part of the study. Depending on the normality distribution, paired
T-tests or Wilcoxon signed rank tests were applied to test the differences
between two acquisition methods in SPSS. Within subject coefficient of
variation was calculated to compare NAV and BH spectra.Results
T2
relaxation times and concentrations. All T2app
relaxation curves except from 2 from one volunteer could be fitted. We were
able to detect and quantify 14 peaks in gallbladder spectrum (Fig.1). TE
evolution of the spectra from one volunteer is displayed in Fig.2. Means of T2app
relaxation times of all detected components of bile are listed in Table 1.
Navigated
(NAV) vs breath-hold (BH) acquisition. Due to
contamination or low quality of individual transients we have discarded 3.79% spectra
in NAV and 3.54% spectra in BH. Linewidth of the chol_PL peak of averaged spectra
was 11.31 ± 4.49 Hz in NAV and
10.83 ± 4.96 Hz in BH. Details of quality checks are listed
in Table 2.
Statistical analysis of metabolite
concentration showed no significant differences between NAV and BH acquisitions. Within subject coefficient of variation (CVw)
ranged from 14% to 59%, depending on the signal of interest. Values of CVw
together with concentrations of metabolites measured in patients as well as
those from healthy volunteers and literature can be found in Table 3.Conclusion
STEAM sequence is feasible for measurement
of bile in gallbladder at 3T in vivo,
providing sufficient spectral quality allowing quantification of more than 9
components. Supine position is acceptable for both breath-hold and PACE
navigated acquisition with free breathing with comparable results and within
clinically acceptable measurement times.Acknowledgements
I would like to thank Veronika Janacova for valuable advices on statistical analysis.
This study was supported by the Austrian Science Fund, KLI917.References
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