Rachel W. Chan1, Liam S.P. Lawrence2, Ryan T. Oglesby2, Hanbo Chen3, Brian Keller3, James Stewart3, Mark Ruschin3, Brige Chugh3,4, Scott MacKenzie3, Mikki Campbell3, Aimee Theriault3, Sten Myrehaug3, Jay Detsky3, Pejman J. Maralani5, Chia-Lin Tseng3, Gregory J. Czarnota1,2,3, Greg J. Stanisz1,2,6, Arjun Sahgal3, and Angus Z. Lau1,2
1Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada, 2Medical Biophysics, Sunnybrook Research Institute, Toronto, ON, Canada, 3Department of Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 4Department of Physics, Ryerson University, Toronto, ON, Canada, 5University of Toronto, Sunnybrook Health Sciences Centre, Medical Imaging, Toronto, ON, Canada, 6Department of Neurosurgery and Pediatric Neurosurgery, Medical University, Lublin, Poland
Synopsis
A multi-parametric
imaging protocol, for monitoring patients with brain tumors treated using the
1.5T MR-Linac radiotherapy system, is presented with a focus on CEST. Phantom
experiments were performed on the MR-Linac using varying concentrations of
ammonium chloride mixtures. 24 subjects were included in the analysis. Mixed
modelling was used to determine any differences between the gross tumor volume (GTV)
and contralateral normal appearing white matter (cNAWM) regions, where three CEST
parameters were investigated (MTRAmide, MTRNOE and
Asymmetry). Results from phantom experiments confirmed detectable CEST asymmetry.
Significant differences were found in all three CEST parameters between the GTV
and cNAWM.
Introduction
The MR-Linac is a
new MR-guided radiotherapy (MRgRT)1,2 device that combines radiation
treatment with high-resolution MRI3,4, enabling diagnostic-quality images to
be obtained at each radiation treatment fraction. The ability to perform
real-time MR guidance for adapting the radiation beam1 offers new
opportunities for response assessment and personalized treatment in
radiotherapy using quantitative imaging5. The purpose of this work is to
describe our implementation and initial results from a multi-parametric imaging
protocol for monitoring patients with central nervous system (CNS) tumors during
treatment on the MR-Linac. We present the first in vivo demonstration of
chemical exchange saturation transfer (CEST) on the 1.5 T MR-Linac, which
extends previous work on diagnostic scanners at 1.5T6 and 3T7-9.Methods
Study design: CNS
patients were treated with chemoradiation using the 1.5 T Unity MR-Linac
(Elekta, Stockholm, Sweden) with all patients enrolled in the MOMENTUM study10. The study was approved by the institutional research ethics board and
informed consent was obtained. Patients were treated with 30 (total dose of 54
Gy or 60 Gy) or 15 fractions (total dose of 40 Gy). The treatment workflow and
imaging schedules are shown in Figure 1A and B, including CEST.
Phantom preparation: Mixtures of ammonium chloride (NH4Cl; concentrations {7.8,
15.6, 31.3, 62.5, 125, 250, 500, 1000} mM) doped with 1.0 mM copper sulfate (CuSO4×5H2O) were prepared to evaluate CEST sensitivity on the
MR-Linac.
MR imaging: Anterior and posterior coils were used, each consisting of 4
channels11, with patients immobilized with a thermoplastic mask. CEST scans,
performed during the allotted post-treatment imaging time, used pulsed
saturation sequences previously developed and validated for a diagnostic Philips
1.5T scanner6 with comparisons to 3T12. In tumors, a single slice was
acquired at the same superior-inferior location across days. WASABI13 was
used for B0 and B1 correction. Figure 1C shows the MR
parameters for CEST with total scan duration of 12.8min.
Image analysis: Gross
tumor volume (GTV) was contoured as part of treatment planning and simulation
using post-gadolinium T1-weighted images and T2-weighted
FLAIR images. Contours at each fraction were obtained by rigidly co-registering
the simulation image to the daily MR-Linac T1-weighted image (without
intravenous contrast). For the CEST analysis, the GTV at the CEST slice
position was extracted. FSL FAST14 was used to automatically segment the
contralateral normal appearing white matter (cNAWM) regions. Three CEST
parameters were quantified between 2 and 4 ppm in subjects (and 1.3-3.3 ppm in NH4Cl
around the 2.3ppm peak): i) the magnetization transfer ratio (MTR) asymmetry,
ii) MTRAmide and iii) MTRNOE. The Z-spectra from the two
nominal RF amplitudes (1.5 and 3 μT) were interpolated to 2.5 μT in order to
correct for B1 inhomogeneity. Voxelwise B0 correction was
performed prior to computation of the CEST metrics. Image analysis used MATLAB
(R2018b).
Statistical
Analysis: Mixed effects modelling was used to assess
any differences in CEST contrast between the two ROIs (GTV and cNAWM), using
ROI as a fixed effect and subject as a random effect. This was performed for
each of the three CEST parameters. Statistical analysis used R (v4.0.2x64).Results
CEST analysis
included 24 patients (including 12 GBM, 4 astrocytoma, 3 oligodendroglioma, 3
meningioma and 2 others), scanned on the MR-Linac at selected treatment
fractions between 1 and 30. Figure 2 shows a multiparametric dataset acquired
for a GBM patient including T1, T2, DWI, MT, CEST and
BOLD maps. CEST asymmetry maps in NH4Cl phantoms are shown in Figure
3. The estimated asymmetry was 0.41±0.18%
(mean±SD within ROI) for the lowest NH4Cl concentration (7.8mM) and 34.7±1.1%
for the highest concentration (1000mM). Figure 4 shows example maps in CNS
tumors, which demonstrate a range of GTV asymmetry values; from the set, the highest
asymmetry (=2.2%±1.9%) was found in the meningioma (Figure 4A) and comparatively
low asymmetry (=0.3±0.5%) was found for the astrocytoma (Figure 4D). The MTRAmide
values are also displayed. In Figure 5, parameter values are shown for individual
scans, for each subject, treatment fraction, and CEST parameter (MTRAmide,
MTRNOE, Asymmetry). Based on mixed effects modelling, significant differences
in CEST contrast were found between GTV and cNAWM, with p<0.001 for all
three parameters.Discussion
Phantom scans confirmed
that CEST asymmetry can be detected on the 1.5T MR-Linac for all NH4Cl
concentrations (7.8-1000mM). The in vivo
CEST contrast was significantly different between GTV and cNAWM. Reasons for high/low
CEST signal across tumors need to be further investigated, and could depend on
other factors including resection status, location, or histological subtype.
Future work will quantify CEST parameter changes over time and correlate with
clinical outcomes.Conclusion
An MR-Linac daily imaging
protocol including CEST was presented for obtaining both structural and
metabolic information for the purpose of monitoring radiation treatment. In
phantoms, positive CEST asymmetry values were detected on the MR-Linac with
commonly-used ammonium chloride in phantoms. In patients, significant CEST
contrast between GTV and cNAWM signals were found over the entire cohort, for
each of the three CEST parameters.Acknowledgements
We would like to thank
the MR-Linac radiation therapists Danny Yu, Katie Wong, Helen Su, Monica
Foster, Shawn Binda, Rebekah Shin, Ruby Bola, Susana Sabaratram, Christina
Silverson and Anne Carty for scanning and for their assistance with the
protocol. We gratefully acknowledge the following sources of funding: Natural Sciences and Engineering Research Council (NSERC); the Terry Fox Research Institute; Canadian Institutes of Health Research; the Canadian Cancer Society Research Institute.References
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