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Quantitative EEG improves prediction of Sturge-Weber syndrome in infants with port-wine birthmark

Authors :
Danielle McAuliffe
Bohao Tang
Lindsay F. Smegal
Brian Caffo
Siddharth Srivastava
Jack H. Adamek
Doris D. M. Lin
Alison J. Sebold
Balaji M. Lakshmanan
Joshua B. Ewen
Anne M. Comi
Angela M. Quain
Eric H. Kossoff
Ryan Elizabeth Gill
Source :
Clin Neurophysiol
Publication Year :
2021
Publisher :
Elsevier BV, 2021.

Abstract

Objective Port-wine birthmark (PWB) is a common occurrence in the newborn, and general pediatricians, dermatologists, and ophthalmologists are often called on to make an assessment of risk for Sturge-Weber syndrome (SWS) due to workforce shortages in pediatric neurologists and MRI’s low sensitivity for SWS brain involvement in infants. We therefore aimed to develop a quantitative EEG (qEEG) approach to safely screen young infants with PWB for SWS risk and optimal timing of diagnostic MRI. Methods Forty-eight infants (prior to first birthday) underwent EEG recording. Signal processing methods compared voltage between left and right sides using a previously defined pipeline and diagnostic threshold. In this test sample, we compared sensitivity/specificity of the qEEG metric against MRI performed after the first birthday. We also used likelihood ratio testing to determine whether qEEG adds incremental information beyond topographical extent of PWB, another risk marker of brain involvement. Results qEEG helped predict SWS risk in the first year of life (p = 0.031), with a sensitivity of 50% and a specificity of 81%. It added about 40% incremental information beyond PWB extent alone (p = 0.042). Conclusion qEEG adds information to risk prediction in infants with facial PWB. Significance qEEG can be used to help determine whether to obtain an MRI in the first year of life. The data collected can assist in developing a predictive model risk calculator that incorporates both PWB extent and qEEG results, which can be validated and then employed in the community.

Details

ISSN :
13882457
Volume :
132
Database :
OpenAIRE
Journal :
Clinical Neurophysiology
Accession number :
edsair.doi.dedup.....5f778ed60f805eea86a46cd9765cc50d
Full Text :
https://doi.org/10.1016/j.clinph.2021.06.030