Rachel W Chan1, Sten Myrehaug2, Greg J Stanisz1,3,4, James Stewart2, Mark Ruschin2, Arjun Sahgal2,3, and Angus Z Lau1,3
1Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada, 2Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada, 3Medical Biophysics, University of Toronto, Toronto, ON, Canada, 4Department of Neurosurgery and Pediatric Neurosurgery, Medical University, Lublin, Poland
Synopsis
This study aims to quantify the MT
and CEST parameters in glioblastoma at 1.5T over four time points of
chemoradiation. Previous approaches to quantify the MT/CEST signal in terms of
response to treatment were at higher field strengths. Additionally, we analyzed
different subregions within the clinical target volume and gross tumor volume, generated
by thresholding based on the T1-weighted, FLAIR and DWI scans, for
comparing the MT/CEST parameters between the early and late tumor progression.
Results indicated that MT/CEST at 1.5T can be used for monitoring therapy and
that the results depend on the specific tumor region analyzed.
Introduction
Glioblastoma multiforme (GBM) is
the most aggressive and the most common form of brain tumor. The patient
outcomes are poor despite standard treatment involving surgical resection, radiation
therapy and chemotherapy1. Saturation transfer MRI, including quantitative
magnetization transfer (MT)2-3 and amide proton transfer (APT) chemical
exchange saturation transfer (CEST)4, have shown promise for
monitoring response to treatment of brain tumors5-12. These CEST
studies have been conducted at 3T or above. Recently, the feasibility of APT
CEST at 1.5T was shown in a healthy human brain using a pulsed saturation
method13. Using this approach13, we quantified the MT/CEST
signal in GBM patients at 1.5T for distinguishing between early and late tumor
progression.
In addition, since GBM tumors are
spatially heterogeneous, we quantified the parameters over different tumor subregions
defined based on thresholding the standard T1-weighted, FLAIR, and
DW images. Subregions with signal characteristics related to those of a previous
study that were found to be correlated with overall survival14 were
examined. The median parameter values within each region were compared between early
and late progression groups.Methods
GBM study: Approval from
the institutional research ethics board and informed consent from patients were
obtained. Data from 34 patients (treated with intensity modulated radiation
therapy with dose of 2 Gy per session with concurrent temozolomide) were
analyzed. MRI was performed at four time points – at day 0 (“D0”) before
radiation treatment, at fraction 10 and 20 of treatment (corresponding to days
“D14” and “D28”, respectively) and 1 month following the final treatment
fraction (“D70”).
MR protocol: Data were acquired
on a 1.5T Philips Ingenia system. Standard clinical sequences included
pre-contrast T1-weighted (“T1w”), post-contrast T1w
(“T1w+C”), FLAIR and DWI scans. For saturation, MT and CEST
sequences used short, block pulses designed to overcome the RF amplifier
limitations on this scanner13. T1/T2/B0/B1
maps were acquired. MR parameters are shown in Figure 1.
Image pre-processing: The T1w+C
and FLAIR volumes were registered
to the T1w volume using the “flirt” function from FSL15,
with 2D slices extracted to match the scanned MT/CEST slice. For CEST, motion
correction across the saturation frequencies was performed using the FSL
“mcflirt” function. The clinical target volumes (CTV) and gross tumor volumes
(GTV), delineated based on T1w+C, were obtained for each time point.
Tumor
subregions: In addition to the GTV and CTV, four subregions were analyzed.
The subregions were generated by classifying pixels into high or low signal regions
based on thresholding. For regions R1-R3, the thresholds were defined as the mean
D0 signal within the CTV averaged over the entire patient cohort, from each of
the T1w, FLAIR and ADC images, respectively. For subregion R4, the
enhancing area within the GTV was determined based on increased signal on T1w+C
compared to T1w.
Parameter
fitting and analysis: Pulsed saturation data were fitted to the
Bloch-McConnell model as in previous work13. The MT semisolid
fraction, CEST parameters (including asymmetry, MTRAmide and MTRNOE,
between 2-4ppm), ADC, T1 and T2 maps were quantified. Tumor
progression was assessed at 6.9 months (=209 days)1, with early or
late progression categories for tumors that progressed before or after 209
days, respectively. Differences between early and late progression groups were
computed using the Wilcoxon Rank-Sum test for each time point, region and
parameter.Results and Discussion
Clinical images and parameter
maps for a selected GBM tumor are shown across time points in Figure 2. The
central tumor region had lower signal for the semisolid fraction (M0B)
and CEST MTRAmide maps, and higher signal on the CEST asymmetry maps,
compared to surrounding regions. In Figure 3, the CTV and GTV are shown of the thresholded
subregions at D0.
In Figure 4, results comparing early
and late progression over the CTV region are shown. At D0, the median MT
semisolid fraction, CEST asymmetry and ADC were significantly different between
the early/late groups (p<0.05). The values for early and late progression,
respectively, were 6.0% (CI=[5.4, 7.4]%) and 7.4% (CI=[6.9,8.0]%) for the MT
semisolid fraction, 0.58% (CI=[0.34, 0.85]%) and 0.33% (CI=[0.29,0.50]%) for
CEST asymmetry, and 1.0×10-3mm2/s (CI=[0.91,1.1]×10-3mm2/s)
and 0.9×10-3mm2/s (CI=[0.87,0.93]×10-3mm2/s)
for ADC.
When thresholding was applied, there
were increased differences in the MT fraction for the subregion R1 with low T1w
signal compared to when the entire CTV was analyzed, as shown in Figure 5a,c. Additional
differences were seen in the T1 value at D0 (Figure 5a). Difference
in the CEST asymmetry was only apparent in the CTV and not in the thresholded subregions.
Figures 5b,d show signal changes relative to D0, with differences in MT
fraction and T2 value seen at D70 in the enhancing region R4.
Differences were also present for the GTV at D70.Conclusion
MT/CEST at 1.5T can be used for
tracking the signal changes in GBM during chemoradiation. Significant
differences were seen between early and late progression groups at certain time
points and thresholded regions. Our results were dependent on the specific
tumor region analyzed, suggesting that for robustness especially in heterogeneous
tumors, subregions should be included for quantifying parameter maps to monitor
response to therapy.Acknowledgements
We gratefully acknowledge funding
from NSERC (RGPIN-2017-06596, CRD 507521-16), Terry Fox (New Frontiers Program
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