Kyle M. Jones1, Edward A. Randtke2, Eriko Yoshimaru3, Christine M. Howison2, Pavani Chalasani4, Robert R Klein4, Setsuko K. Chambers3, Phillip H. Kuo2, and Mark D. Pagel2
1Biomedical Engineering, University of Arizona, Tucson, AZ, United States, 2Medical Imaging, University of Arizona, Tucson, AZ, United States, 3University of Arizona Cancer Center, University of Arizona, Tucson, AZ, United States, 4Medicine, University of Arizona, Tucson, AZ, United States
Synopsis
We optimized acidoCEST
MRI, a method that measures extracellular pH (pHe), and translated this method
for clinical imaging. We fit CEST spectra with the Bloch equations modified to
include the direct estimation of pH, and generated parametric maps of tumor pHe
in the SKOV3 tumor model, a patient with high grade invasive ductal breast carcinoma,
and a patient with metastatic ovarian cancer. AcidoCEST MRI successfully measured
a pH 6.58 in a tumor of the patient with metastatic ovarian cancer. The primary
breast tumor failed to accumulate sufficient agent to generate pHe
measurements.
Purpose
The extracellular pH (pHe) has been measured in tumor models of human cancers with chemical exchange saturation transfer (CEST) MRI, using a method known as “acidoCEST MRI”.1 We aimed to optimize the acidoCEST MRI acquisition protocol for clinical translation by improving our analysis methods to avoid overfitting noisy CEST spectra, especially when CEST signal amplitudes are low.Methods
Solutions
of 78 mM iopamidol at pH 5.82-7.67 were scanned with an ultrafast CEST MRI
method using a 600 MHz NMR spectrometer at 37.0 ± 0.5 °C.2
The uncatalyzed
and base-catalyzed exchange rates were determined for each exchanging pool of
iopamidol. This analysis allowed us to incorporate the pH into the Bloch
equations as a fitting parameter.
CEST spectra ranging
between pH 6.2-7.4 were simulated with Gaussian noise using the experimentally
determined exchange rates of iopamidol.3 The Bloch equations and
Lorentzian line shapes were fit to the simulated CEST spectra to estimate the
pH value to evaluate each fitting method.3,4
Phantoms of 10 mM
iopamidol at pH 5.36-7.54 were scanned with acidoCEST MRI using a 7T Bruker
Biospec MRI scanner. Phantoms of 50 mM
of iopamidol at pH 5.21-7.22 were scanned with a 3T Siemens Skyra MRI
scanner. Ten female mice with a flank
tumor of SKOV3 human ovarian cancer were scanned at 7T with a 2 sec saturation
pulse at 3.5 mT power. Four pre-injection scans were followed by
injection of 3.7 mgI/g iopamidol and infusion of iopamidol at 400 μl/hr,
followed by six post-injection acidoCEST MRI scans. The total scan time was 37:50 min.
Metastatic peritoneal implants in a patient with high
grade serous ovarian carcinoma were scanned with acidoCEST
MRI using a 2.0 sec saturation period at 1.5 mT
power, and with a turboFLASH acquisition. After 10 pre-injection scans, 60 mL
of 370 mgI/mL was injected i.v. over 1 min followed
by infusion of another 60 mL at 0.2 ml/s for 5 min, followed by 15 post-injection
scans for a total scan time of 23:45 min.
A patient was also scanned who presented with a grade I invasive ductal breast
carcinoma using the same clinical acidoCEST MRI protocol.
For in vivo
acidoCEST MRI, the average, spatially smoothed post-injection image was
subtracted from the average, spatially smoothed pre-injection image. CEST spectra were constructed for each pixel,
and analyzed by fitting CEST spectra with Bloch equations and Lorentzian line
shapes.
Results
Simulations showed that Bloch fitting
generated more accurate and more precise pH values than Lorentzian fitting at
7T and 3T magnetic field strengths, especially at higher pH values. The
precision of pH estimates at 7T was more precise than pH estimates at 3T. Bloch
fitting produced more accurate pH estimates with a 1.5 µT saturation power than
3.5 µT at 3T due to better peak separation with a lower saturation pulse power
at a lower field strength.
Bloch fitting produced
reliable pH maps of the SKOV3 model that ranged from pH 6.4 to 7.4 and with a
concentration of 5 to 100 mM in the flank tumor. Lorentzian fitting methods
were sensitive to noise, and caused overfitting of the CEST spectrum that
generated unreasonable values below pH 6.4 and above pH 7.4.
The high grade
invasive ductal breast carcinoma produced unreliable pHe measurements with
Bloch and Lorentzian fitting, which was attributed to low uptake of the agent. Metastatic peritoneal implants in the patient
with high grade serous ovarian carcinoma showed 56-84 mM uptake of the agent,
allowing for reliable pHe measurements with Bloch fitting. The average pHe
value of this right posterior tumor was 6.79 units, and the standard deviation
of 0.21 units. The kidney of this
patient showed an average pHe of 6.73 units with a standard deviation of 0.24
units. The average concentrations of the agent was 80 mM in the outer cortex
and 69 mM in the inner medulla. Lorentzian
fitting showed pHe measurements of approximately 6.4 throughout the tumors and
kidney, demonstrating poor estimations.Discussion
This study has established the clinical translation
of acidoCEST MRI from imaging of a flank tumor murine model to the successful
clinical imaging of a patient with metastatic ovarian cancer. The pHe
measurements estimated with Bloch fitting compared to Lorentzian fitting were
more accurate and precise in simulations, chemical solutions, a flank tumor
model, and a patient. pHe measurements
could only be made in tissues with high uptake of the agent, which agreed with
a previous report.5Acknowledgements
No acknowledgement found.References
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A, et al. Magn Reson Mater Phy 2014;27:477-485.