Yuki Kanazawa1, Daiki Chiba1, Masafumi Harada1, Tosiaki Miyati2, Mitsuharu Miyoshi3, Hiroaki Hayashi2, Yuki Matsumoto1, Takashi Abe1, and Akihiro Haga1
1Tokushima University, Tokushima, Japan, 2Kanazawa University, Kanazawa, Japan, 3Global MR Applications and Workflow, GE Healthcare Japan, Tokyo, Japan
Synopsis
We performed phantom
study with CEST and clarified pH change depending on temperature. Linear
regression analysis shows a strong significant correlation between temperature
and MTRasym at 2.0 ppm in all
egg white albumin samples (R2 > 0.78, P < 0.05). As pH changed with temperature, we found that the
offset frequency of MTRasym was more sensitive at 2.0 ppm than that at
3.5 ppm.
Introduction
Chemical exchange
saturation transfer (CEST) imaging has especially been regarded as an intrinsic
pH contrast as well as protein- and/or peptide-content contrast methods. Most
studies have focused on amide proton transfer (APT) imaging targeting the amide
group which is involved in the creation of many biological metabolites. For
clinical utilization of APT imaging there have been several reports published
concerning brain tumors [1], and acute ischemia [2]. CEST imaging techniques
have been developed with improved optimization of B1 power, correction of B0 inhomogeneity, and construction of
magnetization transfer (MT) -pool models. In
most experiments phantoms and samples have been used for pH adjustment. However,
no speculation has taken place to determine the relationship between pH and APT
imaging in the in vivo situation. In
general, pH change depends on several surrounding factors, e.g., temperature,
and solution [3].Purpose
The aim of our study is
to clarify the relationship between CEST signals and the effect of pH with
temperature change.Materials and Methods
Figure 1 shows schematic diagrams of our study. First,
we conducted experiments concerning pH to temperature changes of water and
different concentrations of egg white albumin solution (20, 40, and 50 wt%); four
samples were performed. After these samples were heated in a water bath at 50
ºC for 10 min, the pH of each sample was measured at 5 ºC increments from 25 to 40 ºC. Second, on a 3 Tesla MR scanner (Discovery 750, GE Healthcare), a CEST
imaging was performed with the same samples used in the above experiment. The
four samples were fixed in an environment filled with 30 wt% egg white albumin
contained within a glass container (see Fig. 1). Then, a total six datasets for
CEST was acquired while observing temperature change with a thermometer placed into
the phantom. The CEST pulse sequence that was used was single-shot fast
spin-echo sequence and a phase cycle radio frequency (RF) preparation. The
frequency offset range was set at -7 to +7 ppm at intervals of 0.5 ppm, and a
total of 29 data points were acquired. The mean B1 values of the MT pulses were set at 1.5 µT. The other
imaging parameters were as follows: echo time, 26.5 ms; repetition time, 4000
ms; bandwidth, ±62.5 kHz; field of view, 16 cm; matrix size, 128 × 128; slice
thickness, 5 mm. The Water saturation shift referencing (WASSR) post processing method was applied to acquired
imaging data in order to carry out B0
correction for each pixel [4]. MT ratio asymmetry (MTRasym) was
calculated using the following formula:
$$MTR_{asym}=MTR\left(+∆\omega\right)-MTR\left(-∆\omega\right)=\frac{I_{sat}\left(-∆\omega\right)-I_{sat}\left(+∆\omega\right)}{I_{0}}, $$
where Isat
and I0 are the imaging
signal intensities measured with MT pulses at each frequency (∆ω) and at -10
ppm frequency where there was no MT effect observed, respectively. Next, region
of interest (ROI) analysis was performed for each sample. Then, we compared the
MTRasym value and temperature for each sample.
Results and Discussions
Table 1 shows measured
values of pH and temperature for each sample. Figure 2 shows Z-spectrums and
MTRasym curves for each temperature. Figure 3 shows MTRasym
at 2.0 ppm and at 3.5 ppm images for each temperature.
Figure 4 shows the relationship between MTRasym values at 2.0 ppm
and temperature in our MRI experiment. Linear regression analysis shows a
strong significant correlation between temperature and MTRasym at
2.0 ppm in all egg white albumin samples (R2
> 0.78, P < 0.05). On the
other hand, there are no correlation between them in all egg white albumin and
water samples at 3.5 ppm. As pH changed with temperature, we found that the
offset frequency of MTRasym was more sensitive at 2.0 ppm than that at
3.5 ppm. We regard two factors of the pH change with temperature as follows: one is a fast-exchange effect of amine- and
hydroxyl- protons contained in egg white albumin; the
other is the difference of peak width of direct water saturation associated with temperature.Conclusion
CEST imaging enables us to evaluate pH changes with
temperature. Moreover, it is found that pH change with temperature effect in vivo appears to cause few changes at 3 Tesla MR scanner.Acknowledgements
This
study was partly supported by JSPS KAKENHI [grant number 17K09065].References
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