Dong-Hoon Lee1, Xuna Zhao1, Hye-Young Heo1, Yi Zhang1, Shanshan Jiang1, and Jinyuan Zhou1
1Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
Synopsis
APT
MRI is a novel imaging technique to provide in
vivo image contrasts related with the changes of endogenous mobile amide
proton concentration and/or tissue pH. In this abstract, based on the
quantified APT signals and multi-parametric MR images, we attempted to evaluate
signal changes in transient focal ischemia in rat models. Our results clearly
showed that the APT imaging can be a useful technique to predict the ischemia
reperfusion status, and to provide the quantitative results more accurately.Purpose
Detection and evaluation of hemodynamic signal
changes during reperfusion after cerebral ischemia play an important role in
the clinic to estimate the treatment outcome. Multi-parametric MR images such
as perfusion, diffusion, and water relaxation times (T
1 and T
2)
have been used to detect the signal changes after ischemia. In recent years,
amide proton transfer (APT) imaging has become an important method as a biomarker
of pH in ischemia due to the high sensitivity of the tissue acidosis, which depends
on the changes of amide proton exchange rate.
1-4 However, unlike
permanent ischemia, the application of APT imaging to transient ischemia have not
been widely studied yet. The purpose of this study is to evaluate the ischemic
tissue injury and the response to the reperfusion in rats using APT metrics (conventional
MTR
asym(3.5ppm) and pure APT
#/NOE
# signals
based on the extrapolated semi-solid magnetization transfer reference signals
(EMR)) and multi-parametric MR images.
5Methods
MRI experiment: Transient
middle cerebral artery occlusion (MCAO) was induced in four male Wistar rats by
inserting a nylon suture filament into the lumen of the internal carotid artery
to block the MCA, and remained for 3 hours. The reperfusion process was
achieved by removal of the filament. The MR imaging was obtained using a 4.7T
Bruker scanner at different time points (before reperfusion, immediately after
reperfusion, 1 day, 3 days, and 7 days after reperfusion). The CEST datasets with 61 frequency offsets
(S0 image and -15~+15ppm at intervals of 0.5ppm) were acquired using
a long continuous-wave RF saturation pulse (power = 1.3 μT, saturation time = 4
sec). For B0 corrections, WASSR datasets with 26 frequency offsets
(-0.6~+0.6ppm at intervals of 0.05ppm) were acquired using 0.5 μT RF saturation
power. In addition, high SNR APT images were acquired using two frequency
offsets (±3.5ppm) with sixteen signal averages. For multi-parametric MR images,
the ADC map with seven b-values (0~1000 s/mm2), the CBF map with
arterial spin labeling (ASL) technique, the T1w map with seven IRs
(0.05~3.5 s), and the T2w map with seven TEs (30~90 ms) were
acquired.
Data processing: The MTRasym(3.5ppm)
image was calculated using B0 corrected datasets with the following
equations: Ssat(-3.5ppm)/S0 - Ssat(+3.5ppm)/S0.
For the APT# and NOE# images, the B0 corrected
datasets were fitted to Henkelman's two-pool MTC model with the
super-Lorentzian lineshape.6 To avoid possible CEST and NOE
contributions, only limited data points (+15~+7ppm) were fitted. The EMR
signals (ZEMR) in the whole offset frequency ranges were obtained
using acquired MTC model parameters, and the differences between ZEMR
and experimental data at 3.5ppm (APT#) and -3.5ppm (NOE#)
were calculated. The ADC, T1w, T2w maps were fitted with
the following equations: I=I0∙exp(-b∙ADC), I=I0+A∙exp(-TI/T1w),
and I=I0∙exp(-TE/T2w). The CBF map was reconstructed from
images with and without labeling.
Results
and Discussion
Before the reperfusion process, the decreased APT#
signals were clearly observed in the ischemic lesions, and the observed NOE#
signals were larger than the APT# signals (Fig. 1). Due to this, the
observed MTRasym(3.5ppm) signals in ischemic lesion became quite negative.
After the reperfusion process was performed, as expected, the APT#,
NOE#, and MTRasym(3.5ppm) signal differences between
contralateral and ischemic lesions were getting smaller until reperfusion on 3 days.
Notably, the edema was appeared in the ischemic legion as the recovery process,
and it may affect the signal changes in the APT#, NOE#,
and MTRasym(3.5ppm).
The ADC, APT#, and MTRasym(3.5ppm)
signals have significant differences in the before and after reperfusion stages
(p < 0.05) (Fig. 2). Between 1 day
and 3 days, the ADC, CBF, APT#, NOE#, and MTRasym(3.5ppm)
signals were no significant differences. Notably, on 7 days after reperfusion, the
NOE# signals between contralateral and ischemic lesion were significantly
changed, and these may affect the MTRasym(3.5ppm) signal changes.
The T1w and T2w values in the ischemia lesion were also
significantly changed after reperfusion process.
The reconstructed images also
clearly showed the signal changes of ischemic lesion before and after
reperfusion (Fig. 3). The APT# and MTRasym(3.5ppm)
signals were generally lower in the ischemic lesion than the contralateral;
however, the lower signals in the ischemic lesion were recovered after the
reperfusion process.
Conclusion
The application of APT imaging to ischemia and its
reperfusion process showed the significant image contrasts between
contralateral and ischemic lesion, which are highly related with the changes of
the tissue acidosis. The overall results of the temporal
evolution of the signal changes from the APT metric and the multi-parametric images
were clearly indicated that APT imaging can also be a useful technique to
estimate the infarction status in the ischemia reperfusion stages.
Acknowledgements
This work was supported in part by grants from the
National Institutes of Health (R01EB009731, R01CA166171, R01NS083435,
R21EB015555).References
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