INTRODUCTION Progression-free survival (PFS) in glioma patients varies widely, even when stratifying for known predictors (i.e. age, molecular tumor subtype, presence of epilepsy, tumor grade and Karnofsky performance status). Neuronal activity has been shown to accelerate tumor growth in an animal model, suggesting that brain activity may be valuable as a PFS predictor. We investigated whether postoperative oscillatory brain activity, assessed by resting-state magnetoencephalography is of additional value when predicting PFS in glioma patients. METHODS We included 27 patients with grade II-IV gliomas. Each patient's oscillatory brain activity was estimated by calculating broadband power (0.5-48 Hz) in 56 epochs of 3.27 s and averaged over 78 cortical regions of the Automated Anatomical Labeling atlas. Cox proportional hazard analysis was performed to test the predictive value of broadband power towards PFS, adjusting for known predictors by backward elimination. RESULTS Higher broadband power predicted shorter PFS after adjusting for known prognostic factors (n = 27; HR 2.56 (95% confidence interval (CI) 1.15-5.70); p = 0.022). Post-hoc univariate analysis showed that higher broadband power also predicted shorter overall survival (OS; n = 38; HR 1.88 (95% CI 1.00-3.54); p = 0.038). CONCLUSIONS Our findings suggest that postoperative broadband power is of additional value in predicting PFS beyond already known predictors.

中文翻译：

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术后脑震荡活动作为弥漫性神经胶质瘤的附​​加预后标志物。

引言即使对已知的预测因素（即年龄，分子肿瘤亚型，癫痫的存在，肿瘤等级和Karnofsky行为状态）进行分层，神经胶质瘤患者的无进展生存期（PFS）差异也很大。在动物模型中，神经元的活动已显示出可加速肿瘤的生长，提示脑活动可能是PFS的预测指标。我们调查了静息状态脑磁图评估的术后振荡性脑活动是否在预测神经胶质瘤患者的PFS时具有附加价值。方法我们纳入了27例II-IV级神经胶质瘤患者。通过计算在3.27 s的56个时期内的宽带功率（0.5-48 Hz），并在“自动解剖标记集”图谱的78个皮质区域中平均，来估计每个患者的振荡性大脑活动。进行了Cox比例风险分析，以测试宽带功率对PFS的预测值，并通过向后消除来调整已知预测值。结果较高的宽带功率可在调整已知的预后因素后预测较短的PFS（n = 27； HR 2.56（95％置信区间（CI）1.15-5.70）； p = 0.022）。事后单变量分析表明，更高的宽带功率还可以预测更短的总生存期（OS； n = 38； HR 1.88（95％CI 1.00-3.54）； p = 0.038）。结论我们的研究结果表明，术后PFS在预测PFS方面的价值超出了已知的预测指标。结果较高的宽带功率可在调整已知的预后因素后预测较短的PFS（n = 27； HR 2.56（95％置信区间（CI）1.15-5.70）； p = 0.022）。事后单变量分析表明，更高的宽带功率还可以预测更短的总生存期（OS； n = 38； HR 1.88（95％CI 1.00-3.54）； p = 0.038）。结论我们的研究结果表明，术后PFS在预测PFS方面的价值超出了已知的预测指标。结果较高的宽带功率可在调整已知的预后因素后预测较短的PFS（n = 27； HR 2.56（95％置信区间（CI）1.15-5.70）； p = 0.022）。事后单变量分析表明，更高的宽带功率还可以预测更短的总生存期（OS； n = 38； HR 1.88（95％CI 1.00-3.54）； p = 0.038）。结论我们的研究结果表明，术后PFS在预测PFS方面的价值超出了已知的预测指标。