作者
Jin Jing, Aline Herlopian, Ioannis Karakis, Marcus Ng, Jonathan J Halford, Alice Lam, Douglas Maus, Fonda Chan, Marjan Dolatshahi, Carlos F Muniz, Catherine Chu, Valeria Sacca, Jay Pathmanathan, WenDong Ge, Haoqi Sun, Justin Dauwels, Andrew J Cole, Daniel B Hoch, Sydney S Cash, M Brandon Westover
发表日期
2020/1/1
期刊
JAMA neurology
卷号
77
期号
1
页码范围
49-57
出版商
American Medical Association
简介
Importance
The validity of using electroencephalograms (EEGs) to diagnose epilepsy requires reliable detection of interictal epileptiform discharges (IEDs). Prior interrater reliability (IRR) studies are limited by small samples and selection bias.
Objective
To assess the reliability of experts in detecting IEDs in routine EEGs.
Design, Setting, and Participants
This prospective analysis conducted in 2 phases included as participants physicians with at least 1 year of subspecialty training in clinical neurophysiology. In phase 1, 9 experts independently identified candidate IEDs in 991 EEGs (1 expert per EEG) reported in the medical record to contain at least 1 IED, yielding 87 636 candidate IEDs. In phase 2, the candidate IEDs were clustered into groups with distinct morphological features, yielding 12 602 clusters, and a representative candidate IED was selected from each cluster. We added 660 waveforms (11 random …
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J Jing, A Herlopian, I Karakis, M Ng, JJ Halford, A Lam… - JAMA neurology, 2020