皮质发育不良
癫痫
立体脑电图
医学
磁共振成像
病变
癫痫外科
放射科
算法
队列
抗药性癫痫
外科
病理
精神科
计算机科学
作者
Aimee Goel,Stefano Seri,Shakti Agrawal,Ratna Kumar,Abhilash Sudarsanam,Bryony Carr,Andrew Lawley,Lesley MacPherson,Adam Oates,Helen Williams,A. Richard Walsh,William B. Lo,Joshua Pepper
标识
DOI:10.1016/j.eplepsyres.2024.107429
摘要
Paediatric patients with drug-resistant focal epilepsy (DRFE) who have no clear focal lesion identified on conventional structural magnetic resonance imaging (MRI) are a particularly challenging cohort to treat and form an increasing part of epilepsy surgery programs. A recently developed deep-learning-based MRI lesion detection algorithm, the Multicentre Lesion Detection (MELD) algorithm, has been shown to aid detection of focal cortical dysplasia (FCD). We applied this algorithm retrospectively to a cohort of MRI-negative children with refractory focal epilepsy who underwent stereoelectroencephalography (SEEG) to determine its accuracy in identifying unseen epileptic lesions, seizure onset zones and clinical outcomes.
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