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用于研究和预测癫痫药物抵抗的神经影像学的概念框架。

A conceptual framework for the use of neuroimaging to study and predict pharmacoresistance in epilepsy.

机构信息

Division of Neurology, Dalhousie University, Halifax, Nova Scotia, Canada.

出版信息

Epilepsia. 2013 May;54 Suppl 2:75-9. doi: 10.1111/epi.12190.

DOI:10.1111/epi.12190
PMID:23646977
Abstract

Twenty percent to 49% of newly treated patients with epilepsy will develop pharmacoresistance (PR). The mechanisms leading to PR are unclear. There is currently no unifying theory to explain the variety of presentations of PR and the diversity of potential contributing factors. Etiology of seizures seems to play a critical role in at least a subset of PR. Many magnetic resonance imaging (MRI) studies in the advanced stages of epilepsy suggest a strong association between lesions such as hippocampal sclerosis and focal cortical dysplasia and PR. Unfortunately, almost all of these studies are cross-sectional and retrospective. There is a need for a new perspective on the role of preexisting lesions in the evolution of epilepsy and PR. We propose in this article to study a unique population of drug-naive patients with either first seizure or new-onset epilepsy longitudinally with advanced MRI imaging techniques, including magnetic resonance spectroscopy and diffusion tensor imaging. We hope to be able to monitor imaging findings and the development of PR early in the course of the disease in a subset of these patients with temporal lobe epilepsy (TLE). Our goal is to understand the pathogenesis of PR, to dissect changes associated with the development of PR from changes associated with chronic seizures and medication, and ultimately to predict PR at the onset of disease.

摘要

20%至 49%的新诊断癫痫患者将出现药物抵抗(PR)。导致 PR 的机制尚不清楚。目前尚无统一的理论来解释 PR 的各种表现和潜在的多种促成因素。癫痫发作的病因似乎在至少一部分 PR 中起着关键作用。在癫痫的晚期阶段,许多磁共振成像(MRI)研究表明,海马硬化和局灶性皮质发育不良等病变与 PR 之间存在很强的关联。不幸的是,几乎所有这些研究都是横断面和回顾性的。需要对病变在癫痫和 PR 演变中的作用有一个新的认识。我们在本文中建议,使用先进的 MRI 成像技术,包括磁共振波谱和弥散张量成像,对首次发作或新诊断癫痫的无药治疗患者进行前瞻性纵向研究。我们希望能够在这些颞叶癫痫(TLE)患者的亚组中,早期监测疾病过程中 PR 的影像学发现和发展。我们的目标是了解 PR 的发病机制,从与慢性癫痫发作和药物相关的变化中分离出与 PR 发展相关的变化,并最终在疾病发作时预测 PR。

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