Division of Pediatric Neurology, Department of Pediatrics, University of British Columbia and British Columbia's Children's Hospital, 4480 Oak Street, Vancouver, BC, V6H 3V4, Canada.
Eur J Paediatr Neurol. 2011 Jan;15(1):15-20. doi: 10.1016/j.ejpn.2010.08.005. Epub 2010 Sep 15.
The objective of this retrospective study was to identify clinical and EEG features in children with occipital epilepsy that predict MR imaging abnormalities and seizure outcome.
Patients with clinical and/or EEG features indicating occipital lobe involvement were identified from the epilepsy database at a tertiary children's hospital. The clinical and EEG features were analyzed to identify the most important predictors of abnormal MR imaging and seizure outcome.
Sixty-six patients were identified: 21 had symptomatic epilepsy with abnormal MR imaging; 12 patients had probable symptomatic epilepsy based on an abnormal neurological exam; 33 patients had normal neurological development, normal neurological examination and normal neuroimaging. Twenty-two of these 33 patients satisfied criteria for idiopathic occipital syndromes: Panayiotopoulos syndrome (9 patients), Gastaut type idiopathic childhood occipital epilepsy (12 patients) and idiopathic photosensitive occipital epilepsy (1 patient). Eleven patients could not be classified. Early age of seizure onset and an abnormal neurological examination were significant predictors of abnormal MR imaging. None of the variables examined were strong predictors of seizure outcome.
Early age of seizure onset and an abnormal neurological examination are the best predictors of abnormal MR imaging in children with epilepsy with occipital features.
本回顾性研究的目的是确定具有枕叶癫痫特征的儿童的临床和 EEG 特征，这些特征可预测 MRI 异常和癫痫发作结果。
从一家三级儿童医院的癫痫数据库中确定具有临床和/或 EEG 特征表明涉及枕叶的患者。分析临床和 EEG 特征，以确定预测 MRI 异常和癫痫发作结果的最重要指标。
共确定了 66 例患者：21 例有症状性癫痫伴 MRI 异常；12 例患者因异常神经检查而有疑似症状性癫痫；33 例患者神经发育正常，神经检查正常，神经影像学正常。这 33 例患者中有 22 例符合特发性枕叶综合征的标准：Panayiotopoulos 综合征（9 例）、Gastaut 型特发性儿童枕叶癫痫（12 例）和特发性光敏性枕叶癫痫（1 例）。有 11 例患者无法分类。癫痫发作的早期年龄和异常的神经系统检查是 MRI 异常的重要预测指标。检查的变量均不是癫痫发作结果的强预测指标。
癫痫发作的早期年龄和异常的神经系统检查是具有枕叶特征的癫痫儿童 MRI 异常的最佳预测指标。
