Synopsis
In
phantoms with large iron particles, as well as in patients with liver iron
overload, a paradoxical relationship was observed where the linewidth measured
from MRS was smaller than the linewidth obtained from multi-echo spoiled
gradient echo MRI. Assuming a model of “apparent” R2 decay in the presence of
iron where single-echo acquisitions are essentially diffusion-weighted by the
iron-induced B0 heterogeneities, we speculate that different
isochromats within the observed spectra undergo different diffusion weighting
related to their location relative to nearby large iron particles. These
observations may have implications for the characterization of iron deposition
in tissue. Purpose
In
MR spectroscopy (MRS), the linewidth of the water peak, as quantified by its full-width at half-maximum (FWHM), is a measure of the local B0 field
heterogeneities within the spectroscopy voxel. Analogously, in multi-echo spoiled
gradient-echo (SGRE) MRI, the measured R2* (=1/T2*) decay rate is related to
FWHM as FWHM= R2*/π. Due to the typically large size of MRS voxels compared to SGRE
voxels, MRS generally contains broader B0 heterogeneities, resulting in FWHMMRS>FWHMSGRE.
The
presence of iron within tissue broadens the microscopic B0
heterogeneities due to susceptibility differences between iron particles and
surrounding tissue [1]. Therefore, in principle it is expected that both FWHMMRS
and FWHMSGRE will increase in the presence of iron, while
maintaining the relationship FWHMMRS>FWHMSGRE. However,
it is unknown whether FWHMMRS varies with TE in the presence of iron
(ie: the MRS signal at different frequency offsets might decay with different “apparent”
R2 decay rates as TE increases) [1,2]. Further, this behavior might depend on
the type of iron deposition (eg: iron particle sizes). The purpose of this work
was to characterize the frequency-dependent R2 decay of MRS signals, and to
evaluate the relationship between FWHMMRS and FWHMSGRE in
phantoms containing super-paramagnetic iron oxides (SPIOs)
with different iron particle sizes, as well as in volunteers and patients with
varying levels of liver iron.
Methods
Phantom experiments: An agar-based phantom was constructed using small
(~24nm) iron particles (ferumoxytol, AMAG Pharmaceuticals, Lexington, MA), or large
(3μm) iron particles (COMPEL iron microspheres, Bangs Labs, Fishers, IN). Five 40-mL vials were
built: 1 vial with no iron, 2 vials with small iron particles (50/100 mg
Fe/mL), and 2 vials with large iron particles (9.5/19.0 mg Fe/mL). Vials were scanned at 1.5T (GE Healthcare, Waukesha, WI), using stimulated echo
acquisition mode (STEAM) single-voxel MRS with multiple TEs (BW=5kHz, 2048
samples/spectrum, TR=1500ms, TM=5ms, 4 averages, 30 TEs, TE1=8.7ms,
ΔTE=1.0ms)[3], and multi-echo 3D SGRE (TR=11.5ms, FA=12°, 6 TEs, TE1=1.1ms,
ΔTE=1.8ms, 28 slices, 4mm thickness).
In vivo experiments: After IRB approval and
informed written consent, 10 healthy volunteers and 40 patients with varying
levels of liver iron overload were recruited and scanned at 1.5T and 3T (GE
Healthcare, Waukesha, WI). At each field strength, two single breath-hold
acquisitions were performed: STEAM single voxel MRS (voxel size
20×20×20-30×30×30mm in the right liver lobe, segments 6-7, BW=5kHz, 2048 samples/spectrum,
TR=3500ms, TM =5ms, 5 TEs with TE1=10ms, ΔTE=5.0ms), and whole-liver
SGRE (TR=6-11ms, FA=3-5°, 8-12 echoes with TE1=0.7-0.9ms and ΔTE=0.6-0.9ms,
32 slices, 8mm thickness).
Data processing: STEAM
data were processed offline in two ways: 1) by calculating a separate R2 decay
rate for each frequency offset on the spectrum (Figure 1), and 2) by fitting a
Voigt lineshape to the observed peaks at each TE, allowing estimation of FWHMMRS
as a function of TE. SGRE data were processed using a complex-fitting,
fat-corrected R2* mapping [4], and measuring FWHMSGRE= R2*/π. The
measured R2 decay rate as a function of frequency offset was plotted. Further,
FWHMMRS (at TE=20ms) and FWHMSGRE were compared using
linear correlation, both in phantoms and in subjects.
Results
In phantoms with both
types of iron (Figure 1), R2 is increased with higher iron concentration. Importantly, R2
appears roughly constant as a function of frequency offset over the main lobe
of the peak for each ferumoxytol concentration, whereas R2 has a clear
variation with frequency offset for microspheres (the center of the peak shows
lower R2 compared to the tails), leading to progressive narrowing of the MRS
peak with increasing TE. This demonstrates that FWHMMRS decreases with
increasing TE in the presence of iron microspheres but not in the presence of
ferumoxytol. Indeed, comparing FWHMMRS (at TE=20ms) and FWHMSGRE
(Figure 2), FWHMMRS>FWHMSGRE
in the presence of ferumoxytol but FWHMMRS<FWHMSGRE in
the presence of microspheres.
In subjects (Figure 3),
FWHM
MRS>FWHM
SGRE for low iron concentrations, but FWHM
MRS<FWHM
SGRE
at high iron concentrations, in good agreement with the large iron particle microsphere
phantoms.
Discussion and Conclusion
In phantoms with large
iron particles, as well as in patients with liver iron overload, a paradoxical
relationship FWHM
MRS<FWHM
SGRE was observed. Assuming a
model of “apparent” R2 decay in the presence of iron where single-echo
acquisitions are essentially diffusion-weighted by the iron-induced B0
heterogeneities [1,5,6], we speculate that different isochromats within the
observed spectra undergo different diffusion weighting related to their
location relative to nearby large iron particles. This effect contrasts with
the ferumoxytol phantoms with small iron particles, where R2 decay was
homogeneous across frequency offsets. These results appear to support the
hypothesis [2] that R2 relaxation in liver is dominated by large
hemosiderin clusters rather than smaller ferritin molecules.
Acknowledgements
We
acknowledge the support of NIH (research grants R01DK083380, R01DK088925,
R01DK100651, K24 DK102595, UL1TR00427), and GE Healthcare.References
[1] Ghugre et al, MRM 2011, 65(3):837-47.
[2] Jensen et al, MRM 2010, 63:1201–1209.
[3] Hamilton et al, NMR Biomed 2011;24: 784–790.
[4] Hernando et al, MRM 2013, 70:1319-1331.
[5] Sukstanskii et al, JMR 2004, 167:56-67.
[6] Jensen et al, MRM 2006, 55:1350-1361.