Keywords: CEST / APT / NOE, CEST & MT
Motivation: CEST-based pH mapping relies on a strongly temperature-dependent calibration, yielding the parameter kc characterizing the exchange rate. Previously, this calibration has only been performed at T=37°C, thus impeding quantitative pH mapping at different temperatures.
Goal(s): Enabling more reliable, i.e. temperature-corrected, quantitative CEST-based pH mapping.
Approach: We quantified the temperature dependency of kc(T) for amide, amine and guanidino protons at B0=9.4T using creatine and protamine model solutions at various pH and temperatures.
Results: For all proton species, the measured kc(T) showed exponential temperature dependencies with doubling of kc(T) for distinct temperature increases (ΔT=Tdouble) of around 4−11°C. Interestingly, each proton species exhibited a characteristic Tdouble.
Impact: These findings enable CEST-based pH mapping at any desired temperature, which, previously, has only been possible at T=37°C. Prospectively, quantitative pH mapping will now also be possible in anatomical regions, e.g. human lower leg, where temperatures may deviate from T=37°C.
Conflict of Interests: The German Cancer Research Center (DKFZ) maintains a research collaboration agreement with Bruker BioSpin MRI GmbH. Bruker did not have any influence on the direction or contents of this manuscript.
The authors declare that they have no competing interests.
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Figure 1: Measured ROI-averaged Z-spectra of creatine (a) and protamine (b) model solutions at a fixed temperature of T=37 °C and B1=1.0 µT show a strong dependency on pH (different colors). For both model solutions, the quality of the acquired Z-spectra was sufficient to reliably extract the isolated CEST signal (MTRRex) for all proton species across the whole range of utilized pH values (cf. Figure 3). Note the different pH ranges for creatine (a) and protamine (b). Note, the apparent residual water signal at Δωwater=0 ppm (a) is due to sparse sampling of data points around Δωwater.
Figure 2: Measured ROI-averaged Z-spectra of creatine (a, pH=7.0) and protamine (b, pH=6.8) model solutions at a fixed pH and B1=1.0 µT show a clear dependency on temperature (different colors). For both model solutions, the quality of the acquired Z-spectra was sufficient to reliably extract the isolated CEST signal (MTRRex) for all proton species across the whole range of utilized temperatures (cf. Figure 3). Note, the apparent residual water signal at Δωwater=0 ppm (a) is due to sparse sampling of data points around Δωwater.
Figure 3: The isolated CEST signal (MTRRex) as a function of pH at different temperatures (colors) for B1=1.0 µT shown for guanidino protons of creatine (a) and amide, guanidino and amine protons of protamine model solutions (b-d, respectively). For rising temperatures (i.e., higher exchange rates kex), the position of the maximum CEST signal (pHmax) shifts towards lower pH values. For each temperature, pHmax via (Eq. 3) enables calculation of kc (data points in Figure 4). Note the different scaling of the MTRRex axes. All values are mean ROI values ± SD.
Figure 4: Quantification of the dependency on temperature of the proton exchange rate determining calibration parameter kc. The measured kc at various temperatures (data points) are shown for guanidino protons of creatine (a) and amide, guanidino and amine protons of protamine model solutions (b-d, respectively). In accordance with theory (Eq.1), exponential temperature dependencies were found for kc(T) (fits) yielding distinct values of kc,37 and Tdouble (specific values are provided in Table 1). Error bars are obtained from the 95% confidence interval of the fits in Figure 3.
Table 1: Experimentally determined values of kc at T=37°C (kc,37) and the temperature increase for which the value of kc(T) doubles (Tdouble). Interestingly, each proton species exhibits distinct, characteristic kc,37 and Tdouble. Errors are obtained from the 95% confidence interval of the fits in Figure 4.