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癫痫中的高频振荡与手术结果。一项荟萃分析。

High-frequency oscillations in epilepsy and surgical outcome. A meta-analysis.

作者信息

Höller Yvonne, Kutil Raoul, Klaffenböck Lukas, Thomschewski Aljoscha, Höller Peter M, Bathke Arne C, Jacobs Julia, Taylor Alexandra C, Nardone Raffaele, Trinka Eugen

机构信息

Department of Neurology, Christian Doppler Medical Centre and Centre for Cognitive Neuroscience, Paracelsus Medical University Salzburg, Austria.

Department of Mathematics, Paris Lodron University Salzburg, Austria.

出版信息

Front Hum Neurosci. 2015 Oct 20;9:574. doi: 10.3389/fnhum.2015.00574. eCollection 2015.

Abstract

High frequency oscillations (HFOs) are estimated as a potential marker for epileptogenicity. Current research strives for valid evidence that these HFOs could aid the delineation of the to-be resected area in patients with refractory epilepsy and improve surgical outcomes. In the present meta-analysis, we evaluated the relation between resection of regions from which HFOs can be detected and outcome after epilepsy surgery. We conducted a systematic review of all studies that related the resection of HFO-generating areas to postsurgical outcome. We related the outcome (seizure freedom) to resection ratio, that is, the ratio between the number of channels on which HFOs were detected and, among these, the number of channels that were inside the resected area. We compared the resection ratio between seizure free and not seizure free patients. In total, 11 studies were included. In 10 studies, ripples (80-200 Hz) were analyzed, and in 7 studies, fast ripples (>200 Hz) were studied. We found comparable differences (dif) and largely overlapping confidence intervals (CI) in resection ratios between outcome groups for ripples (dif = 0.18; CI: 0.10-0.27) and fast ripples (dif = 0.17; CI: 0.01-0.33). Subgroup analysis showed that automated detection (dif = 0.22; CI: 0.03-0.41) was comparable to visual detection (dif = 0.17; CI: 0.08-0.27). Considering frequency of HFOs (dif = 0.24; CI: 0.09-0.38) was related more strongly to outcome than considering each electrode that was showing HFOs (dif = 0.15; CI = 0.03-0.27). The effect sizes found in the meta-analysis are small but significant. Automated detection and application of a detection threshold in order to detect channels with a frequent occurrence of HFOs is important to yield a marker that could be useful in presurgical evaluation. In order to compare studies with different methodological approaches, detailed and standardized reporting is warranted.

摘要

高频振荡(HFOs)被认为是致痫性的潜在标志物。当前的研究致力于寻找有效证据,以证明这些HFOs有助于确定难治性癫痫患者的待切除区域,并改善手术效果。在本荟萃分析中,我们评估了可检测到HFOs的区域切除与癫痫手术后结果之间的关系。我们对所有将产生HFOs区域的切除与术后结果相关联的研究进行了系统评价。我们将结果(无癫痫发作)与切除率相关联,即检测到HFOs的通道数量与其中位于切除区域内的通道数量之比。我们比较了无癫痫发作患者和有癫痫发作患者之间的切除率。总共纳入了11项研究。在10项研究中分析了涟漪(80 - 200Hz),在7项研究中研究了快涟漪(>200Hz)。我们发现,对于涟漪(差异 = 0.18;置信区间:0.10 - 0.27)和快涟漪(差异 = 0.17;置信区间:0.01 - 0.33),结果组之间的切除率存在可比的差异和很大程度上重叠的置信区间。亚组分析表明,自动检测(差异 = 0.22;置信区间:0.03 - 0.41)与视觉检测(差异 = 0.17;置信区间:0.08 - 0.27)相当。考虑HFOs的频率(差异 = 0.24;置信区间:0.09 - 0.38)与结果的相关性比考虑每个显示HFOs的电极(差异 = 0.15;置信区间 = 0.03 - 0.27)更强。荟萃分析中发现的效应大小虽小但具有统计学意义。自动检测以及应用检测阈值以检测频繁出现HFOs的通道,对于产生可用于术前评估的标志物很重要。为了比较采用不同方法的研究,详细且标准化的报告是必要的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1068/4611152/42ed0f0cde19/fnhum-09-00574-g0001.jpg

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