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Neuro Oncol ; 18(5): 735-43, 2016 05.
Article in English | MEDLINE | ID: mdl-26538618

ABSTRACT

BACKGROUND: Glioblastomas treated with bevacizumab may develop low-signal apparent diffusion coefficient (low-ADC) lesions, which may reflect increased tumor cellularity or atypical necrosis. The purpose of this study was to examine the relationship between low-ADC lesions and overall survival (OS). We hypothesized that growing low-ADC lesions would be associated with shorter OS. METHODS: We retrospectively identified 52 patients treated with bevacizumab for the first (n = 42, 81%) or later recurrence of primary glioblastoma, who had low-ADC lesions and 2 post-bevacizumab scans ≤90 days apart. Low-ADC lesion volumes were measured, and normalized 5th percentile histogram low-ADC values were recorded. Using OS as the primary endpoint, semiparametric Cox models were fitted to ascertain univariate and multivariate hazard ratios (HRs) with significance at P = .05. RESULTS: Median OS was 9.1 months (95% CI = 7.2-14.3). At the second post-bevacizumab scan, the volume of the low-ADC lesion (median: 12.94 cm(3)) was inversely associated with OS, with larger volumes predicting shorter OS (HR = 1.014 [95% CI = 1.003-1.025], P = .009). The percent change in low-ADC volume (median: 6.8%) trended toward increased risk of death with growing volumes (P = .08). Normalized 5th percentile low-ADC value and its percent change were not associated with OS (P > .51). Also correlated with shorter OS were the pre-bevacizumab nonenhancing volume (P = .025), the first post-bevacizumab enhancing volume (P = .040), and the second post-bevacizumab enhancing volume (P = .004). CONCLUSIONS: The volume of low-ADC lesions at the second post-bevacizumab scan predicted shorter OS. This suggests that low-ADC lesions may be considered important imaging markers and included in treatment decision algorithms.


Subject(s)
Antineoplastic Agents/therapeutic use , Bevacizumab/therapeutic use , Brain Neoplasms/pathology , Glioblastoma/pathology , Image Interpretation, Computer-Assisted/methods , Adult , Aged , Aged, 80 and over , Algorithms , Brain Neoplasms/drug therapy , Brain Neoplasms/mortality , Diffusion Magnetic Resonance Imaging , Female , Glioblastoma/drug therapy , Glioblastoma/mortality , Humans , Kaplan-Meier Estimate , Male , Middle Aged , Proportional Hazards Models , Retrospective Studies
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