Guodong Weng1,2, Piotr Radojewski1,2, and Johannes Slotboom1,2
1Support Center for Advanced Neuroimaging (SCAN), University of Bern, Bern, Switzerland, 2Translational Imaging Center, sitem-insel, Bern, Switzerland
Synopsis
Keywords: Pulse Sequence Design, Spectroscopy, Spectral editing
2-Hydroxyglutarate (2HG) is a biomarker for IDH-mutant glioma, and previous studies have shown that cystathionine (Cys) can be a potential biomarker for 1q/19q co-deletion of glioma. Previous studies used SVS based MEGA-editing MRS to detect 2HG and co-edited Cys, but editing efficiency of Cys is not optimal due to the narrow bandwidth of the applied MEGA editing-pulses. This work shows that SLOW-editing is able to detect both 2HG and Cys in an optimal way with whole-brain coverage.
INTRODUCTION
Two important factors
that determine the prognosis of glioma patients are (i.) the isocitrate-dehydrogenase
(IDH) mutation status [1] and (ii.) codeletion of chromosome arms 1p
and 19q (1p/19q codeletion) [1]. In IDH-mutated glioma patients, accumulation
of 2-hydroxyglutarate (2HG) can be detected [2], [3], whereas in 1p/19q co-deleted glioma a
potential accumulation of cystathionine (Cys) can be detected using SVS
MR-spectroscopy [4]–[6]. However, the editing efficiency for
Cys was not optimal in previous studies if the center frequency of the MEGA
pulses was set to 1.9 ppm [5]. This is because the target hitting J-coupled
spin of Cys is at 2.16 ppm, and the passband of MEGA pulses is too narrow to
cover both 1.9 and 2.16 ppm. In this study performed at 7T, we investigated
whether it is possible to simultaneously and optimally detect both 2HG as well
as Cys. We choose SLOW-editing based EPSI sequence (SLOW-EPSI) which was originally
designed and used in the past for detection of 2HG only [7]. However, this study shows that SLOW-editing
is able to detect both 2HG and Cys in an optimal way. In contrast to
SVS or 2D-MRSI techniques where the VOI must be selected at measurement time,
SLOW-EPSI sequence allows flexible analysis of multiple tumor subregions at
analysis time, further enlarging the diagnostic precision of MRSI.METHODS
Simulations — Simulation of SLOW- and MEGA- editing performance at 7T was
performed using an in-house developed program using MATLAB (R2019b). The
program solves the relaxation-free Liouville-von Neumann Equation [8]. The MEGA-pulses were Sinc Gaussian shaped
with 8.3 ms duration and 128 Hz full width at half maximum (HWHM) [9]. The center frequency of MEGA-on pulses was
set at 1.9 ppm. The SLOW-pulse were listed below.
Measurements
— The MRSI
was performed on a Siemens 7T scanner (MAGNETOM Terra, Germany) using the Nova
1Tx 32Rx head coil. One patient with glioma suspected glioma has been
prospectively examined, and followed by surgery and neuropathology to determine
the IDH-status and 1p/19q status.
The SLOW-EPSI sequence [7], [10] (Figure 1) was applied on a glioma patient
with following parameters:
TE = 68 ms, TR = 1500
ms, matrix = 65 × 23 × 9 (4.3 × 7.8 × 7.8 mm), FOV = 280 × 180 × 70 mm,
averages = 1, and TA = 9 min. The refocusing/editing chemical-selective
adiabatic pulse (CSAP) for SLOW-editing is 24 ms duration. The bandwidth (full
width at 87% maximum) of editing-full and editing-partial ranges from 1.6 – 4.2
ppm and 2.7 – 4.2 ppm, respectively (Figure 1B). The editing result was obtained by the
subtraction of editing-full (acquisition #1) and editing-partial (acquisition
#2). In SLOW-editing, the 2π- CSAP acts at the same time as both refocusing and
editing pulse.RESULTS and DISCUSSION
Simulation
results — The simulation (Figure 2) shows SLOW and MEGA have a
similar editing pattern for 2HG at 4.01 ppm, but quite different patterns for
Cys at 3.85 and 2.72 ppm. The significant difference for Cys is due to the center
frequency of MEGA-pulses being 0.26 ppm (2.16-1.9) away from the target
J-coupled spin at 2.16 ppm, resulting in a reduction in editing efficiency [5].
Patient
measurement
— The Cys and 2HG were both detected in the
patient with SLOW-EPSI, as shown in Figure 3. The editing peak of Cys at 3.85 ppm appears as a
“shoulder” in the editing difference spectrum. In contract, the editing peak of
Cys at 2.72 ppm is not seen in the editing difference spectrum, but clearly
present in the SLOW-partial spectrum. This could be mainly due to the lipid
contamination affecting the baseline of the SLOW-full spectrum from 1.3-2.8
ppm, resulting in a fluctuation of the baseline in the editing difference
spectrum. However, the baseline of the SLOW-partial spectrum is much less affected by lipids. Therefore the peak of Cys at 2.72 ppm is present in the SLOW-partial spectrum.
Discussion — The
simulation result shows that SLOW-editing is relatively robust to
B1+/B0-inhomogeneities
compared to MEGA-editing (Figure
4). The editing peak for Cys at 3.85 ppm is robust and has the
optimal editing efficiency in the range of [-0.4 ppm, 0.3 ppm]
and [40%, 220%],
and the peak at 2.72 ppm is robust and has the optimal editing efficiency in
the range of [-0.1 ppm, 0.3 ppm]
and [40%, 220%].
In contrast, MEGA-editing is highly sensitive to B1+/B0-inhomogeneities,
and its optimal editing efficiency is obtained at a shift of ~0.26 ppm.CONCLUSION
This work shows
that SLOW can be used for the simultaneous in vivo detection of both Cys
and 2HG in glioma patients and maintains optimal editing efficiency for both Cys and 2HG. In
contrast to MEGA, one must select one of the two metabolites to be optimally
edited. Furthermore, SLOW-editing performance (i.e. efficiency) is significantly
more insensitive to
B1+/B0-inhomogeneities occurring in vivo as compared to MEGA-editing efficiency.Acknowledgements
The
research is supported by the Swiss National Science Foundation (SNSF-182569).References
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