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棘波自动检测在颞叶癫痫患者长程脑电图中应用价值的初步研究 被引量:1

Application of spike automatic detection in long-term EEG of patients with temporal lobe epilepsy
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摘要 目的探究Persyst自动检测技术在成人颞叶癫痫棘波自动检测中的应用价值。方法连续选定苏州大学附属第一医院癫痫单元2019年1月1日—2019年12月31日期间脑电图数据库中符合纳排标准的患者脑电图记录,由两名高年资、由中国抗癫痫协会认证脑电图技术专家阅读和标记长程脑电图中的发作间期癫痫样放电,将两名专家一致的结果作为棘波判定的“金标准”,与Persyst11、13、14三个版本在0.5~0.9之间不同感知值下的棘波自动检测结果进行回顾性研究,计算敏感性、假阳性率、减少的工作量。结果共纳入7例颞叶癫痫患者,每例记录时间为24~25 h,总记录时间为169 h。两名阅图者总体一致率为43.09%。自动检测棘波敏感性最高出现于感知值0.5时,分别为62.26%、77.0%和67.28%,假阳性率最低出现于感知值为0.9时,分别为0.37个/min、0.85个/min、0.46个/min。借助自动分析最多可减少14.59%~37.05%的阅图量。结论Persyst自动检测棘波的敏感性较高,假阳性也较高,不同版本间存在区别,与人工阅图进一步结合,减少一定工作量。通过合理的调整Perception值可以既减少工作量又保证一定准确性。 Objective To explore the clinical value of Persyst automatic detection of spike waves in adult patients with temporal lobe epilepsy.Methods EEG recordings were continuously concluded from the epilepsy unit of the First Hospital affiliated with Soochow University during 2019.Two EEG experts certified by the Chinese Anti-Epileptic Association marked interictal epileptic discharge in the long-time electroencephalogram that meet the criteria.Consistent results of the two experts were seen as the"golden standard".The sensitivity and false positive rates were calculated compared with the automatic test results of Persyst version 11,13 and 14.Results 7 cases were included,each with a recording time of 24~25 hours and a total of 169 hours.Two expert readers achieved the consistency of 43.09%.Spike waves detected automatically were much more than manually.The sensitivity was as high as 62.26%,77.0%and 67.28%.The lowest false positive rate was 0.37/min,0.85/min and 0.46/min respectively.Automatic analysis achieved an average workload reduction of 14.59-37.05%.Conclusions Persyst automatic spike detection has the acceptable sensitivity and false positive rate.It differs from versions and need to be further combined with expert readers.Less workload and accuracy can be balanced by setting reasonable perception parameter.
作者 陆叶婷 来峰 李秉宜 朱翔毅 潘圣洁 徐敏 方琪 胡小伟 LU Yeting;LAI Feng;LI Bingyi;ZHU Xiangyi;PAN Shengjie;XU Min;FANG Qi;HU Xiaowei(Department of Neurology,the First Affiliated Hospital of Soochow University,Suzhou 215006,China;Suzhou University of Science and Technology,Suzhou 215009,China)
出处 《癫痫杂志》 2023年第1期5-10,共6页 Journal of Epilepsy
基金 江苏省科学技术协会调研课题(JSKXKT2022035) 江苏省老年健康科研项目(LKM2022019) 中国抗癫痫协会癫痫科研基金(CU-2022-023)。
关键词 癫痫 发作间期癫痫样放电 棘波 自动检测 Epilepsy Interictal epileptic discharge Spike wave Automatic detection
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