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Journal article
Electroencephalography Might Improve Diagnosis of Acute Stroke and Large Vessel Occlusion
Stroke (1970), v 51(11), pp 3361-3365
01 Nov 2020
PMID: 32942967
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Background and Purpose:
Clinical methods have incomplete diagnostic value for early diagnosis of acute stroke and large vessel occlusion (LVO). Electroencephalography is rapidly sensitive to brain ischemia. This study examined the diagnostic utility of electroencephalography for acute stroke/transient ischemic attack (TIA) and for LVO.
Methods:
Patients (n=100) with suspected acute stroke in an emergency department underwent clinical exam then electroencephalography using a dry-electrode system. Four models classified patients, first as acute stroke/TIA or not, then as acute stroke with LVO or not: (1) clinical data, (2) electroencephalography data, (3) clinical+electroencephalography data using logistic regression, and (4) clinical+electroencephalography data using a deep learning neural network. Each model used a training set of 60 randomly selected patients, then was validated in an independent cohort of 40 new patients.
Results:
Of 100 patients, 63 had a stroke (43 ischemic/7 hemorrhagic) or TIA (13). For classifying patients as stroke/TIA or not, the clinical data model had area under the curve=62.3, whereas clinical+electroencephalography using deep learning neural network model had area under the curve=87.8. Results were comparable for classifying patients as stroke with LVO or not.
Conclusions:
Adding electroencephalography data to clinical measures improves diagnosis of acute stroke/TIA and of acute stroke with LVO. Rapid acquisition of dry-lead electroencephalography is feasible in the emergency department and merits prehospital evaluation.
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Details
- Title
- Electroencephalography Might Improve Diagnosis of Acute Stroke and Large Vessel Occlusion
- Creators
- Fareshte Erani - University of California, IrvineNadezhda Zolotova - University of California, IrvineBenjamin Vanderschelden - University of California, IrvineNima Khoshab - University of California, IrvineHagop Sarian - University of California, IrvineLaila Nazarzai - University of California, IrvineJennifer Wu - University of California, IrvineBharath Chakravarthy - University of California, IrvineWirachin Hoonpongsimanont - University of California, IrvineWengui Yu - University of California, IrvineBabak Shahbaba - University of California, IrvineRamesh Srinivasan - University of California, IrvineSteven C. Cramer - University of California, Irvine
- Publication Details
- Stroke (1970), v 51(11), pp 3361-3365
- Publisher
- Lippincott Williams & Wilkins
- Number of pages
- 5
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Psychological and Brain Sciences (Psychology); Drexel University
- Web of Science ID
- WOS:000583059500057
- Scopus ID
- 2-s2.0-85094932374
- Other Identifier
- 991020100051604721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Clinical Neurology
- Peripheral Vascular Disease