MR spectroscopic imaging predicts early response to anti-angiogenic therapy in recurrent glioblastoma

Pratik Talati, Mohamed El-Abtah, Daniel Kim, Jorg Dietrich, Melanie Fu, Michael Wenke, Julian He, Sharif N. Natheir, Mark Vangel, Otto Rapalino, Anna Vaynrub, Isabel Arrillaga-Romany, Deborah A. Forst, Yi Fen Yen, Ovidiu Andronesi, Jayashree Kalpathy-Cramer, Bruce Rosen, Tracy T. Batchelor, R. Gilberto Gonzalez, Elizabeth R. GerstnerEva Maria Ratai

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10 Scopus citations

Abstract

Background. Determining failure to anti-angiogenic therapy in recurrent glioblastoma (GBM) (rGBM) remains a challenge. The purpose of the study was to assess treatment response to bevacizumab-based therapy in patients with rGBM using MR spectroscopy (MRS). Methods. We performed longitudinal MRI/MRS in 33 patients with rGBM to investigate whether changes in N-acetylaspartate (NAA)/Choline (Cho) and Lactate (Lac)/NAA from baseline to subsequent time points after treatment can predict early failures to bevacizumab-based therapies. Results. After stratifying based on 9-month survival, longer-term survivors had increased NAA/Cho and decreased Lac/NAA levels compared to shorter-term survivors. ROC analyses for intratumoral NAA/Cho correlated with survival at 1 day, 2 weeks, 8 weeks, and 16 weeks. Intratumoral Lac/NAA ROC analyses were predictive of survival at all time points tested. At the 8-week time point, 88% of patients with decreased NAA/Cho did not survive 9 months; furthermore, 90% of individuals with an increased Lac/NAA from baseline did not survive at 9 months. No other metabolic ratios tested significantly predicted survival. Conclusions. Changes in metabolic levels of tumoral NAA/Cho and Lac/NAA can serve as early biomarkers for predicting treatment failure to anti-angiogenic therapy as soon as 1 day after bevacizumab-based therapy. The addition of MRS to conventional MR methods can provide better insight into how anti-angiogenic therapy affects tumor microenvironment and predict patient outcomes.

Original languageEnglish (US)
Article numbervdab060
JournalNeuro-Oncology Advances
Volume3
Issue number1
DOIs
StatePublished - Jan 1 2021

All Science Journal Classification (ASJC) codes

  • Surgery
  • Oncology
  • Clinical Neurology

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