Synopsis
APT imaging can provide endogenous contrast related
to the mobile amide proton concentration, amide proton exchange rate (depending
on tissue pH), and other tissue and experimental parameters. Here, based on the
correlations between quantified APT signals and combined parameter of water
proton concentration and water T1 (T1w/[water proton]), we
attempted to reveal the origin for APT imaging signals in multiple disease
models. The results showed no significant correlations between APT signals and
the T1w/[water proton]. Our findings clearly indicated that the APT
signals is primarily related to the mobile amide proton concentration and amide
proton exchange rate.Purpose
APT imaging has become a useful method to assess
the tumor and stroke in vivo based on endogenous mobile proton concentration
and pH changes. However, other tissue and experimental parameters such as water
proton concentration and water longitudinal relaxation time (T
1w) may
also affect the APT signal.
1,2 One interesting issue raised recently
is how the relationship between T
1w and water concentration affects
the observed APT signal, which has become a controversial topic in evaluating
the signal origins for APT imaging.
3 In this study, we analyzed
datasets acquired from multiple animal disease models with two quantification
methods (MTR
asym(3.5ppm) and recently proposed APT
# and
NOE
# methods
4) to investigate the correlations between
the quantified APT-MRI signals and other parameters (water proton concentration
and T
1w).
Methods
MRI experiment: Six human
glioblastoma (hGB)-bearing rats, six ischemic rats with MCAO at two time points
(2 hours and 1 day), and five U87-bearing rats treated using XRT (fractional
XRT with 3 Gy/day during 8 days) at three time points (pre XRT, post XRT, and post
XRT after 6 days) were scanned at 4.7T. CEST datasets with 61 frequency offsets
(S0 and -15~15ppm@0.5ppm intervals) were acquired with a long
continuous-wave RF saturation pulse (power/time = 1.3 μT/4 s). WASSR dataset
with 26 frequency offsets (-0.6~0.6ppm@0.05ppm intervals) were acquired with 0.5
μT RF saturation power. High SNR APT images were acquired using two frequency
offsets (±3.5ppm) with sixteen signal averages. The T1w map with
seven IRs (0.05~3.5 s), the T2w map with seven TEs (30~90 ms), the ADC
map with seven b-values (0~1000 s/mm2), and the CBF map with ASL technique
were also acquired.
Data processing: Quantification of the APT#
and the NOE# analysis procedures were performed with following
approaches3: (i) B0-corrected Z-spectrum was fitted to
Henkelman's two-pool MTC model with the super-Lorentzian lineshape. (ii) Limited
data points (+15~+7ppm) were fitted to avoid possible CEST and NOE
contributions. (iii) The EMR signals (ZEMR) in the whole offset
frequency ranges were obtained using fitted parameters, and the differences
between ZEMR and experimental data at 3.5ppm (APT#) and
-3.5ppm (NOE#) were calculated. The T1w and T2w
maps were fitted by I=I0+A∙exp(-TI/T1w) and I=I0∙exp(-TE/T2w), and we assumed that [water
proton]≈I0. To remove the T2 effect in the [water proton]
map, it was corrected with an exp(-TE/T2w) factor. For the
correlation analysis between the CEST signals and T1w/[water proton],
the Pearson's correlation coefficients (r) and p values were calculated.
Results
and Discussion
In
the hGB model, large APT# signal and NOE# signal were
clearly observed (Fig. 1). The tumor signal was also clearly showed
hyperintensities on APT# and MTRasym(3.5ppm), compared to
the normal tissue. In the results between GM and WM, the GM signal intensities were
slightly higher than the WM in the APT# and MTRasym(3.5ppm).
Notably, the APT#, NOE#, and MTRasym(3.5ppm) values
showed no significant correlations with T1w/[water proton] (all |r|<0.19;
p>0.05).
Based on the ischemic group, the APT# and
MTRasym(3.5ppm) signal intensities in ischemic lesions were lower
than in normal tissue lesions (Fig. 2). The NOE# signals seemed
relatively larger than the APT# signals, and this made the MTRasym(3.5ppm)
to be negative. In the cases of correlations between CEST signals and T1w/[water
proton], there were no significant correlations (all |r|<0.20; p>0.05).
The results of the XRT treatment group also showed
large APT# and NOE# signals (Fig. 3). Notably, the APT#
and MTRasym(3.5ppm) signal intensities were decreased
according to the XRT progresses. For the correlations results between CEST
signals and T1w/[water proton], no significant correlations were
found (all |r|<0.19; p>0.05). In
addition, unlike previous theoretical indications1, the results from
the treated tumor group clearly showed that the APT signal is not a simple
proportional relationship with the T1w signal. Instead, although the
T1w values were unchanged or even increased, the APT values were
decreased during the XRT treatment progress.5,6
Tumor
tissues showed hyperintensities, compared with normal tissues, on the ADC, T1W,
[Water proton], APT#, and MTRasym(3.5ppm) maps (Fig. 4). On
the T2w map, hyperintensities were observed at the ischemic and XRT treated
tumor lesions. These conditions may reflect the increased edema signals in both
lesions. In addition, T1w/[water proton] map showed negligible
signal differences between the tumor and normal tissues, and the ischemia and
normal tissues.
Conclusions
Our results clearly showed the effect of combined T
1w
and water concentration on the APT signals, which was mostly canceled out in
multiple disease models. Therefore, the signal changes on APT imaging
significantly reflect the mobile amide proton concentration and/or tissue pH
variation (related with amide proton exchange rate).
Acknowledgements
This work was supported in part by grants from the
National Institutes of Health (R01EB009731, R01CA166171, R01NS083435,
R21EB015555).References
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