Traditionally, the most widely used criteria for response assessment in glioblastoma have been Macdonald and the Response Evaluation Criteria In Solid Tumors (RECIST). Recently, new criteria addressing contrast enhancement and fluid-attenuated inversion recovery (FLAIR)/T2 hyperintensity have been defined (the Response Assessment in Neuro-Oncology criteria) to better evaluate the effect of antiangiogenic therapy. Whether FLAIR/T2 imaging could also be helpful to refine RECIST criteria remains unresolved. This study proposed the RECIST + F criteria and compared the 4 methods (Macdonald, RECIST, RANO, and RECIST + F) to determine their agreement in identifying response and progression of recurrent glioblastomas to irinotecan-bevacizumab. Patients with recurrent glioblastoma treated with second-line irinotecan-bevacizumab were eligible. Clinical status, corticosteroid dose, and 1-dimensional and 2-dimensional measurements of tumor contrast enhancement and FLAIR hyperintensity were retrospectively assessed. Response and progression were determined according to each set of criteria. Seventy-eight patients were included. Response rates ranged from 34.2% with RECIST + F to 44.7% with Macdonald criteria. Agreement among the 4 methods in determining response and type of progression was high (kappa statistic > 0.75). One-third of patients exhibited nonenhancing progression with stable or improved contrast enhancement. Median progression-free survival was predicted by RECIST, at 13.6 weeks; RECIST + F, 12.3; Macdonald, 12.7; and RANO, 11.7 (P = .840). Intra- and interobserver correlations were high for both contrast enhancement and FLAIR hyperintensity measurements. There was a strong concordance among the different methods in determining response and progression to irinotecan-bevacizumab. Criteria integrating FLAIR hyperintensity tended, however, to reduce response rates and progression-free survival compared with criteria considering only contrast enhancement. The 1-dimensional approach appeared to be as valid as the 2-dimensional approach.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3337315PMC
http://dx.doi.org/10.1093/neuonc/nos070DOI Listing

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