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Glioma Imaging in the Era of Antiangiogenic Therapy - AJNR News Digest
March-April 2017
Introduction
Figure 4 from Daniels

Glioma Imaging in the Era of Antiangiogenic Therapy

Farid pic

Nikdokht Farid

In the rapidly evolving landscape of postsurgical, postradiation therapeutic strategies for patients with glioblastoma (GBM), including cytotoxic chemotherapy, antiangiogenic therapy, and immune therapy, bevacizumab has been established as a primary therapeutic option for recurrent GBM1,2 and has also shown substantial promise in the setting of newly diagnosed GBM.1,3  As a recombinant humanized monoclonal antibody, bevacizumab blocks angiogenesis by inhibiting vascular endothelial growth factor, thereby decreasing tumor neovascularity and stabilizing the BBB.

Although bevacizumab is associated with a significant radiographic response rate and improved 6-month progression-free survival (PFS) compared with standard therapy in patients with both recurrent and newly diagnosed GBM, it has not shown a definitive improvement in overall survival (OS).4 However, more recent investigations have suggested that the addition of bevacizumab may prolong OS in a subset of patients with newly diagnosed GBM.5  Given these improved outcomes, bevacizumab will likely remain a mainstay in the treatment of patients with GBM.  However, its use is tempered by high costs and potential serious adverse effects such as hemorrhage, thromboembolic events, and proteinuria.4

Due to its powerful antiangiogenic effects, bevacizumab results in a marked decrease in contrast enhancement, edema, and mass effect on MR imaging, which can be seen as early as a few days to weeks after starting bevacizumab.6  Despite this impressive radiographic response, there is often persistent tumor histopathologically that manifests as areas of nonenhancing hyperintense signal on FLAIR images. This phenomenon is referred to as pseudoresponse.

In the setting of pseudoresponse, conventional imaging becomes unreliable in determining persistent/recurrent tumor versus true treatment response.  As a result, advanced imaging methods including diffusion, perfusion, and spectroscopy become essential in order to accurately monitor these patients. Because the ADC derived from DWI is known to correlate with tumor cellularity, DWI is a powerful technique for the detection of residual or recurrent tumor in the setting of bevacizumab therapy.  For instance, one of the articles highlighted in this edition states that pretreatment ADC histogram analysis can predict survival in patients with recurrent GBM treated with bevacizumab, with lower ADC values associated with worse PFS and OS.7  Another featured article discusses the use of DSC MR perfusion in assessing treatment response in patients with recurrent GBM treated with superselective intra-arterial cerebral infusion of bevacizumab.8  Although standard contrast-enhanced imaging is limited in evaluating treatment response after bevacizumab, a recent study, which is also highlighted here, shows that delayed contrast-enhanced MR imaging can better predict treatment response.9

A subset of patients treated with bevacizumab develop regions of marked and persistent restricted diffusion.  Given the known correlation between ADC values and tumor cellularity, these lesions were initially thought to represent areas of progressive or recurrent tumor.  However, due to the relative stability of these lesions over time, the lack of rapid clinical deterioration in patients, and histopathology from a few cases demonstrating areas of “gelatinous necrosis,” it soon became clear that these lesions do not reflect progressive or recurrent tumor.  In fact, the final paper highlighted here shows that patients treated with bevacizumab who develop these areas of marked and persistent restricted diffusion actually have improved survival compared with matched controls.10

Given the ever-increasing use of bevacizumab in the treatment of GBM and other high-grade gliomas and the distinctive imaging patterns that it creates, it is essential for radiologists to be familiar with these patterns in order to provide informed and accurate assessments of these tumors in the postoperative setting.

References

  1. Chowdhary S, Chamberlain M. Bevacizumab for the treatment of glioblastoma. Expert Rev Neurother 2013;13:937–49, 10.1586/14737175.2013.827414
  2. Ghiaseddin A, Peters KB. Use of bevacizumab in recurrent glioblastoma. CNS Oncol 2015;4:157–69, 10.2217/cns.15.8
  3. Li Y, Hou M, Lu G, et al. The prognosis of anti-angiogenesis treatments combined with standard therapy for newly diagnosed glioblastoma: a meta-analysis of randomized controlled trials. PLoS One 2016;11:e0168264, 10.1371/journal.pone.0168264
  4. Yu Z, Zhao G, Zhang Z, et al. Efficacy and safety of bevacizumab for the treatment of glioblastoma. Exp Ther Med 2016;11:371–80, 10.3892/etm.2015.2947
  5. Hata N, Yoshimoto K, Hatae R, et al. Add-on bevacizumab can prevent early clinical deterioration and prolong survival in newly diagnosed partially resected glioblastoma patients with a poor performance status. Onco Targets Ther 2017;10:429–37, 10.2147/OTT.S125587
  6. Hygino da Cruz LC Jr, Rodriguez I, Domingues RC, et al. Pseudoprogression and pseudoresponse: imaging challenges in the assessment of posttreatment glioma. AJNR Am J Neuroradiol 2011;32:1978–85, 10.3174/ajnr.A2397
  7. Ellingson BM, Sahebjam S, Kim HJ, et al. Pretreatment ADC histogram analysis is a predictive imaging biomarker for bevacizumab treatment but not chemotherapy in recurrent glioblastoma. AJNR Am J Neuroradiol 2014;35:673–79, 10.3174/ajnr.A3748
  8. Singh R, Kesavabhotla K, Kishore SA, et al. Dynamic susceptibility contrast-enhanced MR perfusion imaging in assessing recurrent glioblastoma response to superselective intra-arterial bevacizumab therapy. AJNR Am J Neuroradiol 2016;37:1838–43, 10.3174/ajnr.A4823
  9. Daniels D, Guez D, Last D, et al. Early biomarkers from conventional and delayed-contrast MRI to predict the response to bevacizumab in recurrent high-grade gliomas. AJNR Am J Neuroradiol 2016;37:2003–09, 10.3174/ajnr.A4866
  10. Mong S, Ellingson BM, Nghiemphu PL, et al. Persistent diffusion-restricted lesions in bevacizumab-treated malignant gliomas are associated with improved survival compared with matched controls. AJNR Am J Neuroradiol 2012;33:1763–70, 10.3174/ajnr.A3053

Image from: Daniels D, Guez D, Last D, et al. Early biomarkers from conventional and delayed-contrast MRI to predict the response to bevacizumab in recurrent high-grade gliomas.