Study protocol: retrospectively mining multisite clinical data to presymptomatically predict seizure onset for individual patients with Sturge-Weber

IntroductionSecondary analysis of hospital-hosted clinical data can save time and cost compared with prospective clinical trials for neuroimaging biomarker development. We present such a study for Sturge-Weber syndrome (SWS), a rare neurovascular disorder that affects 1 in 20 000–50 000 newborns. Ch...

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Bibliographic Details
Main Authors:	Comi, A.M (Author), Lin, D.D.M (Author), Ou, Y. (Author), Pinto, A.L.R (Author), Vedmurthy, P. (Author)
Format:	Article
Language:	English
Published:	BMJ Publishing Group 2022
Subjects:	algorithm anti-epilepsy drugs apparent diffusion coefficient Article biological marker brain mapping child Child clinical study cognition cohort analysis complication comprehension controlled study deep learning deformable registration algorithm diagnostic test accuracy study diffusion tensor imaging diffusion weighted imaging electronic health record feature selection feature selection algorithm fluid-attenuated inversion recovery imaging human Humans ICD-9 image registration Infant, Newborn International Classification of Diseases machine learning major clinical study neuroimaging Neuroimaging neuroimaging biomarker newborn nuclear magnetic resonance imaging outcome assessment preschool child pre-symptomatic treatment Prospective Studies prospective study rare disease Retrospective Studies retrospective study seizure Seizures sensitivity and specificity Sturge Weber syndrome sturge-weber syndrome Sturge-Weber Syndrome susceptibility weighted imaging voice recognition white matter
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Study protocol: retrospectively mining multisite clinical data to presymptomatically predict seizure onset for individual patients with Sturge-Weber

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