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Differentiating Radiation Necrosis from Tumour Progression in Brain Metastases using CEST: A Cross-Vendor Comparison
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 work.

References

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Figures

Figure 1 – MR imaging pulse sequence and parameters: Pulse sequence RF diagram for A) the single-slice in-house sequence written for the Philips scanner and B) the 3D prototype sequence provided by Siemens was used to achieve CEST contrast. C and D) Imaging parameters are shown for the sequences in A and B, respectively.

Figure 2 – Magnetization Transfer Ratio (MTR) map in an example radiation necrosis case with structural scans: The contrast-enhanced T1-weighted and FLAIR scans are shown with the high-power MTRAmide map and for a patient with radiation necrosis. Images are from the Philips dataset. The lesion ROI is shown.

Figure 3 – Histograms of unscaled and white-matter-scaled MTR between scanners in the same patient: A) Histograms of the MTR voxel intensities of an example lesion with radiation necrosis are shown for the MTR acquired using higher saturation amplitude (B1=2.0 μT for Philips and B1=2.5 μT for Siemens) at the amide frequency offset (3.5 ppm), for each of Siemens and Philips scans. Histogram counts are normalized by the number of voxels in each 3D (Siemens) or 2D (Philips) ROI. B) MTR of the contralateral white matter (WM) signal is shown. C) MTR after scaling by the median WM signal is shown.

Figure 4 – MTR, white-matter-scaled MTR and APT asymmetry for RN and TP cohorts: Mean and standard deviation (error bars) for the radiation necrosis (RN) and tumour progression (TP) cohorts are shown for the A) MTR and B) white matter (WM)-scaled MTR, for both scanners and for the high-power amide MTR. From the Philips cohort, 69 patients (74 lesions, 29 with TP outcome) were analyzed and from the Siemens cohort, 8 patients (10 lesions, 4 with TP outcome) were analyzed. C) Amide Proton Transfer (APT) asymmetry failed to distinguish between TP and RN. (*p < 0.05, **p < 0.01, ***p < 0.001)

Proc. Intl. Soc. Mag. Reson. Med. 30 (2022)
4458
DOI: https://doi.org/10.58530/2022/4458