Optimal time-window and perfusion protocol for MRI in early assessment of high grade glioma treatment response
Christopher Larsson1,2, Jonas Vardal1, Inge Rasmus Groote3, Magne Mørk Kleppestø1,2, Petter Brandal4, and Atle Bjørnerud1,5

1The Intervention Centre, Oslo University Hospital, Oslo, Norway, 2Faculty of Medicine, University of Oslo, Oslo, Norway, 3Department of Psychology, University of Oslo, Oslo, Norway, 4Department of Cancer Medicine, Surgery & Transplantation, Oslo University Hospital, Oslo, Norway, 5Faculty of Physics, University of Oslo, Oslo, Norway

Synopsis

Due to limitations in structural MRI in assessment of overall survival (OS) in high grade glioma interest in more advanced functional MRI methods has risen. A prospective longitudinal high grade glioma study including structural imaging and T1/T2* perfusion was performed in 27 patients to investigate the optimal time-window and most sensitive MRI perfusion method for early OS analysis.

No structural imaging, DSC or absolute perfusion parameter was found significant for early OS assessment. Change in median Ktrans and CBF from baseline to eight weeks was found significant and CBF change >15% most accurate predictor for poor OS.

Purpose:

The gold standard evaluation of treatment response in high grade gliomas (HGG) is radiographic assessment of changes in tumor size measured in 2 dimensional structural T1 and T2/FLAIR MR images. Both the McDonald criteria from 1990 and the more recent RANO criteria are based solely on structural imaging and are the most widely used in studies today despite severe limitations1. Even though median overall survival (OS) in glioblastoma (the most frequent HGG) being less than a year, some responders to therapy live significantly longer and 2 year OS in 20-25% of the population has been reported2. Advanced functional MRI techniques are increasingly used in the assessment of HGG and most tumor protocols now include either a dynamic contrast enhanced (DCE) or dynamic susceptibility contrast (DSC) series. There is evidence of both DCE and DSC imaging being able to predict OS in HGG patients3,4. However, the reported studies vary in timing of examinations relative to treatment schedule, statistical methods and metrics uses. Further, most studies are retrospective in nature and few have investigated the difference in DCE vs. DSC in ability to predict outcome.
To this end we hypothesize that advanced MRI is superior to structural imaging in predicting OS in HGG patients. We further wanted to assess the optimal MRI time-window for early prognosis in HGG and investigate the predictive value of DCE versus DSC in a comprehensive tumor protocol.

Methods:

A prospective study including structural and dynamic images in 27 patients with confirmed HGG (WHO grade III and IV) was performed. Imaging was done before radiochemotherapy (RCT) start (baseline) and every 2 weeks for 8 weeks (five scans) and subsequently every third month. The study protocol included pre- and post-contrast T1, FLAIR, DCE (3D-SR) and DSC (2D SE-EPI). Imaging was performed at 3T (Philips Achieva, Netherlands).
Whole tumor and edema region of interests (ROIs) based on T1 contrast enhancement and FLAIR was produced and approved by an experienced radiologist. Patient specific carry-on individual arterial input functions from the first scan was used for both DCE and DSC, the extended Tofts model was used for the DCE analysis5. Whole tumor and edema volume and percentage change from baseline was estimated from the tumor and edema ROIs derived from the structural imaging. Whole tumor median and 90 percentile values for Ktrans, vp, CBF and ve from the DCE data and normalized and absolute CBV and CBF from the DSC data were analyzed for absolute values and percentage change from baseline (δ).
The subjects were separated in two groups based on short and long OS. Mann Whitney U test was performed with Bonferroni correction for multiple comparisons. Receiver operating characteristics (ROC) curves were investigated for clinically relevant cut-off values for all significant parameters. Log rank test and Kaplan Meyer plots for survival was then produced based on the cut-off values. P<0.05 was set as level of significance and tumors smaller than 0.5 mL were excluded from the analysis.

Results:

Mean OS was 765 days (min 111 – max 1698) and long OS was defined as survival for more than 750 days (12 patients). Median δCBF and δKtrans from the DCE analysis was significant two weeks after RCT (scan 5). No parameter was found significant at baseline or during RCT (scan 1-4). No DSC parameter was found significant before 6 months after completion of RCT. No structural imaging parameter was found significant. Cut-off values from the ROC curve analysis were conservatively chosen for maximum specificity. An increase in δCBF of more than 15% was associated with a significantly lower OS (p=0.008) (fig2), no significance was found for a single value of δKtrans (p=0,081).

Discussion/conclusion

There are three main findings from this study;

1) DCE perfusion MRI is superior to gold-standard structural imaging for early assessment of prognosis in HGG.
2) Optimal timing for prognosis prediction in our material was two weeks after RCT. A baseline scan before start of RCT is needed to assess the change in percent for each parameter (δ) due to the high variation in absolute values between patients.
3) DCE was superior to DSC for early prognosis prediction. No significance for DSC parameters was found before 6 months after RCT. This questions the necessity of both T1 and T2 perfusion in a HGG tumor protocol. The DSC was done using a SE-EPI sequence benefiting from fewer artifacts at the cost of a lower SNR. The use of GRE-EPI could potentially provide higher sensitivity for DSC at the expense of more artifacts from surgical intervention.

Acknowledgements

No acknowledgement found.

References

1.Kalpathy-Cramer, J., Gerstner, E. R., Emblem, K. E., Andronesi, O. C. & Rosen, B. Advanced Magnetic Resonance Imaging of the Physical Processes in Human Glioblastoma. Cancer Res. 74, 4622–4637 (2014).

2. Helseth, R. et al. Overall survival, prognostic factors, and repeated surgery in a consecutive series of 516 patients with glioblastoma multiforme. Acta Neurol. Scand. 122, 159–67 (2010).

3. Nguyen, T. B. et al. Preoperative prognostic value of dynamic contrast-enhanced MRI-derived contrast transfer coefficient and plasma volume in patients with cerebral gliomas. AJNR. Am. J. Neuroradiol. 36, 63–9 (2014).

4. Law, M. et al. Gliomas: predicting time to progression or survival with cerebral blood volume measurements at dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging. Radiology 247, 490–498 (2008).

5.Tofts, P. S. et al. Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols. J.Magn Reson. 10, 223–232 (1999).

Figures

Structural images and CBF-maps of two sample patients. First exam and two weeks post radiochemotherapy shown in upper and lower row respectively. Left case shows diminished CBF indicating a better prognosis (Overall survival 923 days). An increase in CBF in the right case suggest poor treatment response (Overall survival 475 days).

Kaplan Meier plot of percentage change from baseline to two weeks after radiochemotherapy in median CBF from DCE analysis. A cut-off value of 15 % was chosen based on receiver operating characteristics curves. The plot shows poorer prognosis for the group with more than 15 % increased CBF (p=0.008).



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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