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癫痫手术的最新进展。

Recent advances in epilepsy surgery.

机构信息

Department of Neurosurgery, Yale School of Medicine, New Haven, Connecticut, USA.

出版信息

Curr Opin Neurol. 2023 Apr 1;36(2):95-101. doi: 10.1097/WCO.0000000000001134. Epub 2023 Jan 31.

Abstract

PURPOSE OF REVIEW

Technological innovations in the preoperative evaluation, surgical techniques and outcome prediction in epilepsy surgery have grown exponentially over the last decade. This review highlights and emphasizes relevant updates in techniques and diagnostic tools, discussing their context within standard practice at comprehensive epilepsy centres.

RECENT FINDINGS

High-resolution structural imaging has set an unprecedented opportunity to detect previously unrecognized subtle abnormalities. Machine learning and computer science are impacting the methodologies to analyse presurgical and surgical outcome data, building more accurate prediction models to tailor treatment strategies. Robotic-assisted placement of depth electrodes has increased the safety and ability to sample epileptogenic nodes within deep structures, improving our understanding of the seizure networks in drug-resistant epilepsy. The current available minimally invasive techniques are reasonable surgical alternatives to ablate or disrupt epileptogenic regions, although their sustained efficacy is still an active area of research.

SUMMARY

Epilepsy surgery is still underutilized worldwide. Every patient who continues with seizures despite adequate trials of two well selected and tolerated antiseizure medications should be evaluated for surgical candidacy. Collaboration between academic epilepsy centres is of paramount importance to answer long-standing questions in epilepsy surgery regarding the understanding of spatio-temporal dynamics in epileptogenic networks and its impact on surgical outcomes.

摘要

目的综述

在过去十年中,癫痫手术的术前评估、手术技术和预后预测方面的技术创新呈指数级增长。本综述重点介绍并强调了技术和诊断工具的相关更新,讨论了它们在综合癫痫中心标准实践中的应用背景。

最新发现

高分辨率结构成像为发现以前未被识别的细微异常提供了前所未有的机会。机器学习和计算机科学正在影响分析术前和手术结果数据的方法,构建更准确的预测模型,以定制治疗策略。机器人辅助放置深部电极增加了在深部结构中采样致痫节点的安全性和能力,加深了我们对耐药性癫痫发作网络的理解。目前可用的微创技术是合理的手术替代方法,可用于消融或破坏致痫区域,尽管其持续疗效仍然是一个活跃的研究领域。

总结

癫痫手术在全球范围内仍未得到充分应用。对于那些尽管经过两种选择良好且耐受的抗癫痫药物充分试验后仍持续发作的患者,都应评估其手术适应证。学术型癫痫中心之间的合作对于回答癫痫手术中长期存在的问题至关重要,这些问题涉及对致痫网络时空动力学的理解及其对手术结果的影响。

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