Rachel W. Chan1, Wilfred W. Lam1, Patrick Liebig2, Leedan Murray1, Hatef Mehrabian1, Aimee Theriault3, Ruby Endre1, Garry Detzler1, Sten Myrehaug3, Chia-Lin Tseng3, Jay Detsky3, Pejman J. Maralani4, Arjun Sahgal3, Hany Soliman3, and Greg J. Stanisz1,5,6
1Physical Sciences Platform, Sunnybrook Research Institute, Toronto, ON, Canada, 2Siemens Healthineers, Erlangen, Germany, 3Department of Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 4Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada, 5Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 6Department of Neurosurgery and Pediatric Neurosurgery, Medical University of Lublin, Lublin, Poland
Synopsis
Stereotactic
radiosurgery for the treatment of brain metastases delivers a high dose of radiation with excellent local control, but increases
the likelihood of radiation necrosis. CEST is a promising technique for distinguishing
radiation necrosis from tumour progression in brain metastases, but its
application has been limited to a single MRI system and CEST sequence. This
study explores the use of scaling of the magnetization transfer ratio (MTR) by
the white matter (WM) of each patient for comparison across vendors/sequences.
It was found that the WM-scaled MTR showed improved correspondence across the
MR systems, across two CEST sequences.
Introduction
Treatment of brain metastases with stereotactic radiosurgery (SRS), which involves delivering a high dose of radiation focally to the tumour [1–3], offers excellent local tumour control [4], but SRS increases the likelihood of radiation necrosis (reported in up to 22% of all patients [5–7]). Saturation transfer contrast including Chemical Exchange Saturation Transfer (CEST) [8,9] and relayed Nuclear Overhauser Effect (rNOE) [10] have been shown to differentiate radiation necrosis (RN) from tumour progression (TP) in brain metastasis patients with high accuracy [11,12] using Magnetization Transfer Ratio (MTR) acquired with high saturation amplitude (2 μT) for discrimination [12].
However, brain metastasis studies for distinguishing RN from TP have been limited to a single-slice, single-vendor implementation of CEST [12]. Here, we investigated cross-vendor comparisons (between Philips and Siemens MR scanners). Scaling of the MTR by the contralateral normal-appearing white matter (WM) signal was explored for comparison across systems and CEST pulse sequences, and results were compared to unscaled MTR.Methods
Patients
The study was approved by the institutional research ethics board and informed
consent was obtained. Seventy patients (75 lesions, 30 with TP) were scanned on
a Philips scanner [11,12]
and eight patients (10 lesions, 4 with TP) were scanned on a Siemens scanner including
three of the same patients from the Philips cohort.
MRI acquisition
Philips (2D): Images were acquired on a 3T
MR scanner (Achieva; Philips Healthcare, Best, The Netherlands). CEST Z-spectra
were acquired with saturation amplitudes of B1=0.522 and 2 µT. The saturation pulse
train consisted of four block pulses, each of 242.5 ms duration with 2.5 ms
inter-pulse delay, acquired with
61 offsets between ±5.87 ppm and reference scans at –783 ppm.
Siemens (3D): At 3T (MAGNETOM Prisma;
Siemens Healthineers, Erlangen, Germany), a prototype CEST sequence was used to
acquire Z-spectra with continuous-wave power equivalent saturation B1
amplitudes of 0.625 and 2.5 µT. The saturation pulse train consisted of 10
Gaussian pulses, each of 90 ms duration with 2.5 ms inter-pulse delay, acquired with 27 offsets between
±6 ppm and reference scans at 783 ppm.
On both scanners, pre/post-contrast
T1-weighted and FLAIR scans were acquired. B0, B1,
T1, and T2 mapping were performed. RF pulse sequence
diagrams and imaging parameters are summarized in Figure 1 with total
acquisition durations of 45 min (Philips) and 51 min (Siemens).
Example images are shown from the Philips scanner (Figure 2).
Image
pre-processing and regions of interest (ROIs)
Brain extraction with HD-BET [13]
was used for skull stripping prior to automatic whole-brain WM segmentation
with FSL FAST [14],
followed by manual selection of the contralateral WM. Contrast-enhanced T1-weighted
(T1C) scans were registered to the CEST scan. Tumour ROIs were
manually drawn over the enhancing regions, including any centrally hypo-intense
regions. All MTR maps (for amide and rNOE at each B1) were normalized
by the B1 scale map to account for RF inhomogeneity.
Comparisons
between MR systems
In all patients, histograms
of the MTR voxel intensities over the lesions were compared between vendors.
Figure 3A shows example histograms of the high B1 MTRAmide
from both vendors of a lesion with RN. In this example, a discrepancy can be
seen in the MTR values between the Siemens and Philips data. Next, MTR maps
were scaled by the median WM MTR of the contralateral side. Example WM MTR histograms
(Figure 3B) are shown. Resulting histograms from the WM-scaled lesion MTR maps
(Figure 3C) showed improved correspondence of median MTR between scanners.Results
One patient/lesion from the
Philips cohort without a WM ROI in the CEST slice near the brain surface was
excluded from analysis. Between RN and TP groups, there were significant
differences in the Philips cohort (Figure 4A, showing the high power MTRAmide)
with 48±2% for TP and 42±5% for RN (p<0.001). In the same plot, the Siemens
cohort MTR values are shown, with no significant differences between RN and TP.
Before WM scaling, significant differences were found between the Philips and
Siemens MTR values for both TP and RN; after WM scaling (Figure 4B), the
differences between scanners became non-significant. As well, differences
between RN and TP in the Siemens cohort became significant after WM scaling. All
MTR for both scanners (unscaled and WM-scaled) are higher for TP compared to RN,
consistent with previous findings from the Philips scanner [11,12].
The Amide Proton Transfer (APT) asymmetry (Figure 4C) failed to distinguish between
TP and RN.Discussion
MTR is a useful metric for
differentiating between RN and TP in brain metastases [11,12].
Here, we investigated the scaling of MTR by each patient’s WM signal for
differentiating RN from TP across two MRI systems with different
implementations of CEST saturation. The WM-scaled MTR resulted in closer values
between the MR systems compared to unscaled MTR. Future work using quantitative
modelling [15,16]
could be used to compare different vendors/sequences and further protocol
optimization could allow for scan time reduction.Conclusion
MTR and WM-scaled MTR metrics
were explored for comparison across two different vendors and CEST sequences in
patients with brain metastases. WM-scaled MTR showed improved correspondence
across the MR systems with a clinically acceptable scan time using both (2D and
3D) vendor implementations.Acknowledgements
We thank Gerald Moran at
Siemens Healthineers for providing the 3D CEST sequence. We thank all the MR
radiation therapists who were involved in scanning and Angus Lau for useful
advice. We gratefully acknowledge sources of funding (Terry Fox Research
Institute; Canadian Institutes of Health Research; Canadian Cancer Society
Research Institute). Wilfred Lam and Rachel Chan contributed equally to this
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