Identification of the Origin for Amide Proton Transfer (APT) Imaging Signals in Multiple Pathologies
Dong-Hoon Lee1, 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 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 (T1w) may also affect the APT signal.1,2 One interesting issue raised recently is how the relationship between T1w 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 (MTRasym(3.5ppm) and recently proposed APT# and NOE# methods4) to investigate the correlations between the quantified APT-MRI signals and other parameters (water proton concentration and T1w).

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 T1w 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

1. Zhou J, Payen J-F, Wilson DA, Traystman RJ, van Zijl PC. Using the amide proton signals of intracellular proteins and peptides to detect pH effects in MRI. Nat Med. 2003;9(8):1085-90.

2. Zhou J, Lal B, Wilson DA, Laterra J, van Zijl PC. Amide proton transfer (APT) contrast for imaging of brain tumors. Magn Reson Med. 2003;50(6):1120-6.

3. Zaiss M, Xu J, Goerke S, Khan IS, Singer RJ, Gore JC, Gochberg DF, Bachert P. Inverse Z-spectrum analysis for spillover-, MT-, and T1 -corrected steady-state pulsed CEST-MRI--application to pH-weighted MRI of acute stroke. NMR Biomed. 2014;37(3):240-52.

4. Heo HY, Zhang Y, Lee DH, Hong X, Zhou J. Quantitative assessment of amide proton transfer (APT) and nuclear overhauser enhancement (NOE) imaging with extrapolated semi-solid magnetization transfer reference (EMR) signals: Application to a rat glioma model at 4.7 tesla. Magn Reson Med. 2015:10.1002/mrm.25581.

5. Zhou J, Tryggestad E, Wen Z, Lal B, Zhou T, Grossman R, Wang S, Yan K, Fu DX, Ford E, Tyler B, Blakeley J, Laterra J, van Zijl PC. Differentiation between glioma and radiation necrosis using molecular magnetic resonance imaging of endogenous proteins and peptides. Nat Med. 2011;17(1):130-4.

6. Hong X, Liu L, Wang M, Ding K, Fan Y, Ma B, Lal B, Tyler B, Mangraviti A, Wang S, Wong J, Laterra J, Zhou J. Quantitative multiparametric MRI assessment of glioma response to radiotherapy in a rat model. Neuro Oncol. 2014;16(6):856-67.

Figures

Figure 1. Calculated APT# and NOE# signal features, conventional MTRasym spectra, and Pearson's correlation analysis results of APT#, NOE#, and MTRasym(3.5ppm) with T1w/water proton concentration for the hGB tumor group.

Figure 2. Pearson's correlation analysis results of APT#, NOE#, and MTRasym(3.5ppm) with T1w/water proton concentration for the ischemic group.

Figure 3. Pearson's correlation analysis results of APT#, NOE#, and MTRasym(3.5ppm) with T1w/water proton concentration for the U87 tumor with radiation therapy group.

Figure 4. Acquired T2-weighted MR images and calculated quantitative multi-parametric MR maps for a representative rat in each of the three experimental groups. In the hGB tumor and U87 tumor with radiation therapy groups, red arrows indicate the tumor lesions. In the ischemic group, orange arrows indicate the ischemic lesions.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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