Diagnosis of epilepsy after first seizure. Introducing the SWISS FIRST study

B. Jin, P. De Stefano, V. Petroulia, C. Rummel, C. Kiefer, M. Reyes, Kaspar Anton Schindler, P. van Mierlo, M. Seeck, R. Wiest
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引用次数: 3

Abstract

Diagnosis of epilepsy after a first unprovoked seizure is possible according to the guidelines by the International League Against Epilepsy, if the risk recurrence of a second unprovoked seizure is exceeding 60%. However, this cutoff constitutes only a proxy depending on the patients’ history, magnetic resonance imaging (MRI), and electroencephalography (EEG) findings but nevertheless also from the treating neurologists’ individual experience. In a Switzerland-wide observational study, we aim to recruit patients that were admitted to the emergency department with the referral diagnosis of a first and unprovoked seizure. We make use of optimized MRI protocols to identify potential structural epileptogenic lesions, introduce new imaging-based markers of epileptogenecity, and use most recent postprocessing methods as automatic morphometry, spike map analysis, and functional connectivity. With these diagnostic tools, we aim to segregate patients that present with epileptic seizures versus mimicks and non-epileptic seizures and stratify for every finding in MRI and EEG its predictive value for a second unprovoked seizure. These findings shall support neurologists to calculate and not only estimate the seizure recurrence rate in future.
首次发作后癫痫的诊断。介绍瑞士第一项研究
根据国际抗癫痫联盟的指南,如果第二次非诱发性癫痫发作的复发风险超过60%,则可以在第一次非诱发性癫痫发作后诊断癫痫。然而,这一截断仅构成了依赖于患者病史、磁共振成像(MRI)和脑电图(EEG)结果的代理,但也来自于治疗神经科医生的个人经验。在一项瑞士范围内的观察性研究中,我们的目标是招募那些被转诊诊断为首次无端癫痫发作的急诊科患者。我们利用优化的MRI方案来识别潜在的结构性癫痫性病变,引入新的基于成像的癫痫性标志物,并使用最新的后处理方法,如自动形态测定法、尖峰图分析和功能连接。有了这些诊断工具,我们的目标是区分癫痫发作、模拟癫痫发作和非癫痫发作的患者,并对MRI和EEG的每一个发现对第二次非诱发性发作的预测价值进行分层。这些发现将支持神经科医生计算而不仅仅是估计未来的癫痫复发率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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