Dina Moazamian1, Sam Sedaghat1, Jiyo S Athertya1, Bhavsimran Singh Malhi1, Soo Hyun Shin1, James Lo1,2, Hyungseok Jang1, Eric Y Chang1,3, Jiang Du1,2,3, Graeme M Bydder1, and Yajun Ma1
1Radiology, UC San Diego, San Diego, CA, United States, 2Bioengineering, UC San Diego, San Diego, CA, United States, 3Radiology Service, Veterans Affairs San Diego Healthcare System, San Diego, CA, United States
Synopsis
Keywords: Multiple Sclerosis, Multiple Sclerosis, Myelin water
Myelin water imaging (MWI) techniques have
shown great promise for the early detection of demyelination and monitoring the
effectiveness of neuroprotective therapies in remyelination. The purpose of
this study is to develop new clinical transitional MWI techniques, which employ
a short TR adiabatic inversion recovery (STAIR) preparation in combination with
clinical FSE and EPI acquisitions. Quantified apparent myelin water fractions
(aMWFs) show myelin loss in lesions and normal-appearing white matter (NAWM) in
patients with multiple sclerosis compared to normal white matter (NWM) in
healthy volunteers, demonstrating their potential in clinical practice.
Introduction
Clinical T1
and T2-weighted sequences have a high sensitivity for detecting
brain abnormalities in patients with multiple sclerosis (MS). However, they are
poor at differentiating pathological processes such as inflammation, edema,
axonal loss, gliosis, demyelination, and remyelination (1,2).
To improve the
specificity of MRI in detecting myelin changes in MS, researchers have developed
techniques to image and quantify myelin water in the brain (3–9). Myelin water is tightly trapped between
myelin lipid layers, and has shorter T2 and T1 values compared
with intra/extra-cellular water. Because of this close structural relationship
between myelin and myelin water, assessment of myelin water changes is able to
provide useful information about demyelination and remyelination (5,9). Myelin water fraction (MWF), which is
defined as the proportion of short T2 water signal to the total
water, is an MR imaging biomarker that has shown promise for the evaluation of changes
in myelin content (3,4).
Recently, Ma et
al. have developed a new MWI technique which uses a short TR adiabatic inversion recovery (STAIR) preparation in combination
with a 3D Cones acquisition (10). This
STAIR technique suppresses signals from longer T2 water components with
a wide range of T1s while preserving signals from short T1
myelin water (10–12). The technique provides whole brain
MWI and quantification in clinically feasible scan times. The measured apparent
MWF (aMWF) in MS lesions was significantly lower than that in normal white
matter (NWM) of a control group (10). However, 3D Cones is mainly installed on GE
scanners and not widely clinically available. This limits transition of the
STAIR technique to the clinical domain.
In this study,
we aimed to develop two new clinical MWI
techniques by combining the STAIR preparation with two widely available clinical
acquisitions i.e., FSE and EPI to provide more accessible whole brain water myelin
imaging and quantification.Methods
Three healthy
volunteers (25-32 years-of-age) and three patients with MS (48-57
years-of-age) underwent MRI scans on a 3T clinical GE
scanner. Informed consent was obtained from all the participants by guidelines
issued following the local Institutional Review Board (IRB).
Figure 1
shows the STAIR-FSE and STAIR-EPI sequences. In these two STAIR-type sequences,
an adiabatic full passage (AFP) pulse and a short TR (e.g., ≤300ms) are used together
with an optimized inversion time (TI) to provide robust long T2
water signal suppression (10). The FSE and EPI acquisitions provide fast
data collection of the unsuppressed myelin water signals.
To
facilitate the quantification of aMWF, proton density-weighted FSE (PD-FSE) and
EPI (PD-FSE) sequences were also scanned for total water imaging. aMWF is defined
as the ratio of the signal from myelin water to that from the total water of
the brain (10). A T2-FLAIR sequence was
also performed for clinical comparison.
The key parameters
of the STAIR and PD sequences were as follows: i) STAIR-EPI: TR/TI/TE=250/117/5.5ms,
flip angle(FA)=90°, number-of-shots=8, matrix=128×128, scan time=15min; ii)
PD-EPI: TR/TE=250/5.5ms, FA=5°, scan time=43s; iii) STAIR-FSE: TR/TI/TE=300/105/6.8ms,
echo-train-length (ETL)=8, matrix=140×140, scan time=10min; vi) PD-FSE: TR/TE=8000/6.8ms,
scan time=1min44s. The FOV and slice thickness for all the sequences were 22cm
and 5mm.
ROIs were drawn around
the MS lesions and at eight different non-lesional white matter regions (i.e.,
left and right centrum semiovale, subcortical white matter and periventricular
regions, as well as splenium and genu of the corpus callosum) for all the
subjects to measure aMWFs. We compared the aMWFs of NWM in the healthy
volunteers to normal appearing WM regions (NAWM) and MS lesions in the patients
with MS.
The one way
ANOVA test was performed to evaluate group difference in aMWFs after checking
the normal distribution using the Kolmogorov–Smirnov test. A post hoc test (Games-Howell
test) was also performed for paired comparisons between each of the two groups.Results and Discussions
Figure
2
shows representative myelin water images and aMWF maps obtained with the
STAIR-FSE and STAIR-EPI sequences in a healthy volunteer. White matter regions
have a much higher myelin water content than gray matter regions. In general,
aMWF estimated with the STAIR-EPI technique is lower than that estimated with
the STAIR-FSE technique, which may be because of myelin water signal loss with
the GRE type EPI sequence. Figures
3 and 4 show myelin water images and aMWF maps in the three patients with MS. Hyperintense
lesions detected on T2-FLAIR images show a clear signal loss in both the STAIR-FSE
and STAIR-EPI images as well as in the corresponding aMWF maps.
Figures
5A and 5B show paired comparisons between groups. Significant differences are seen
for both STAIR-FSE and STAIR-EPI measured aMWFs between each of the two groups (P<0.05). Figure 5C summarizes the mean and standard deviation (SD) values of aMWF for all
the subjects measured by both the STAIR-FSE and STAIR-FSE techniques. The aMWF values of the MS lesions (FSE: 4.8±1.8% and EPI: 4±1.2%)
and NAWM (FSE: 10.2±2.1% and EPI: 9.3 ±0.7%) in patients with MS are
significantly lower than those of NWM (FSE: 12±1% and EPI: 10.2±1.2%) in
healthy volunteers (P<0.01). Conclusion
STAIR preparation in
combination with clinical FSE and EPI acquisitions is able to detect myelin water
loss in MS patients. This is likely to facilitate transition of the STAIR
approach for imaging myelin water into clinical practice. Acknowledgements
The authors
acknowledge grant support from the National Institutes of Health (R01AR062581,
R01AR068987, R01AR075825, R01AR079484, R01AR078877, RF1AG075717, and
R21AR075851), VA Clinical Science and Rehabilitation Research and Development
Services (Merit Awards I01CX001388, I01CX002211, and I01RX002604), DFG (SE 3272/1-1) and GE
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