Kevin Ray1, Gogulan Karunanithy2, Andrew Baldwin2, Michael Chappell3, and Nicola Sibson1
1Oxford Institute for Radiation Oncology, University of Oxford, Oxford, United Kingdom, 2Physical and Theoretical Chemistry Laboratory, University of Oxford, Oxford, United Kingdom, 3Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom
Synopsis
CEST-MRI is an imaging technique which is sensitive to tissue pH, and has generated pH-weighted images in acute stroke patients. One key assumption regarding CEST-MRI is that the signal is predominantly intracellular. This assumption has implications in the application of CEST-MRI for pH measurement of tumours, which are generally associated with extracellular acidosis. This study developed a novel pulse sequence, combining stimulated echo acquisition mode diffusion and CEST imaging. Using this novel pulse sequence, the intracellular and extracellular contributions to the acquired Z-spectrum were isolated in a simple cell system and post-mortem mouse brain.Purpose
Chemical Exchange Saturation Transfer (CEST) MRI
measures the effect of chemically exchanging labile protons associated with biomolecules.
Application of the CEST MRI technique to measurements of the amide protons
associated with mobile proteins
in vivo
is amongst the most popular of these methods, and the CEST effects at 3.5ppm
downfield of water have been used to make pH measurements in acute stroke
1, or to differentiate tumour recurrence from
radiation necrosis
2. One assumption about the CEST MRI signal is
that it largely reflects the intracellular properties of tissue, since the
majority of mobile protein is intracellular
3. However, to date, no study has elucidated the
exact contribution of the extracellular protein to the CEST MRI signal
in vivo. If the contribution of the
extracellular protein to the CEST signal could be determined, it may be
possible to specifically quantify pH in the extracellular space, which would be
of particular interest in imaging of tumours
4. This study employed a novel pulse sequence that
encodes both diffusion and CEST signals to selectively measure the Z-spectrum
from extracellular or intracellular environments.
Methods
Mouse mammary carcinoma cells (4T1) in PBS were
placed in a 14T vertical bore spectrometer. Water-suppressed (WATERGATE) 1H
spectra were acquired at various intervals to ensure cell survival during the
experiments. Stimulated echo acquisition mode (STEAM) diffusion measurements (11 b-values
altered by varying only the magnitude of diffusion gradients) and CEST spectra (CW saturation, 2s duration, B1=1µT, ±5.1ppm in 0.3ppm steps, normalised by unsaturated acquisition) were
acquired. The DiffusionCEST pulse sequence (Fig 1),
comprising a STEAM diffusion sequence with CEST pulses between
the second and third 90° RF pulses, was used to acquire Z-spectra with 11 diffusion gradient strengths and CEST saturation of 500ms CW, B1=1µT.
Post-mortem naïve BALB/c mouse brain was imaged with similar sequences at 9.4T. CEST imaging was performed using single-shot spin-echo EPI following 300 gaussian pulses of duration 13ms,
flip angle 180° (50% d.c, equivalent CW B1=0.8µT). STEAM diffusion imaging
was performed using 16 b-values (b-value altered by varying only the magnitude of diffusion gradients).
DiffusionCEST was used to acquire Z-spectra with 8 b-values and CEST saturation of 35 CEST pulses, each pulse comprising a
14ms gaussian (flip angle 180°) followed by 1ms spoiler gradient (n=35 in Fig 1).
The presence of restricted and free water was
confirmed in cells and post-mortem brain by fitting a bi-exponential
decay function to the water signal as the diffusion gradient strength was varied, and assigned to intra- and
extracellular, respectively. The Z-spectra from intra- and extracellular spaces
were isolated, by fitting a bi-exponential function to the measured signal at
each offset frequency in the acquired Z-spectrum as diffusion b-value was
varied.
Results
Bi-exponential fitting of the water signal as a
function of diffusion-weighting revealed two water populations, both in the
cells (Fig 2A) and in the post-mortem brain (Fig 2B). Z-spectra from the cells
(Fig 3A) and a region of interest covering the whole brain (Fig 3B) revealed
CEST effects associated with intracellular protein.
DiffusionCEST results from the cells (Fig 4A) and post-mortem mouse brain (Fig
4B) revealed a bi-exponential decay in signal at all frequency offsets in the
Z-spectrum, enabling the separation of intra- and extracellular Z-spectra (Fig 5A and B).
In the cells (Fig 5A), the extracellular Z-spectrum displays only direct saturation of water, whereas the intracellular spectrum displays features
associated with intracellular protein. Similarly, in the post-mortem mouse
brain (Fig 5B), the intracellular Z-spectrum displays prominent CEST effects upfield and
downfield of water. However, despite being noisy, the extracellular
Z-spectrum shows similar effects upfield, and less saturation downfield. The
molar fractions of intra- and extracellular water calculated from their
contributions to the overall Z-spectrum are 0.83 and 0.17, respectively, which
are in remarkable agreement with literature values of intracellular water content of the brain.
Discussion
By combining diffusion and CEST imaging, the
Z-spectra from intra- and extracellular spaces have been separated in a
simple cell system and post-mortem mouse brain. The extracellular Z-spectrum
from the post-mortem mouse brain is noisy, making interpretation and
quantification of the Z-spectrum difficult. However, this may be ameliorated
with increasing acquisitions with low diffusion-weighting. The combination of STEAM
diffusion and CEST imaging produces images with low signal-to-noise, and the
acquisition time currently precludes
in vivo application. Further study and optimisation
of the pulse sequence are on-going.
Conclusion
A novel combination of CEST with STEAM diffusion imaging enables the separation of Z-spectra from intra-
and extracellular water, respectively. Following further study and optimisation,
this sequence may enable quantification of pH from the intra- and extracellular
environments separately.
Acknowledgements
No acknowledgement found.References
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