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Optimized set of criteria for defining interictal epileptiform EEG discharges
- Source :
- Kural, M A, Tankisi, H, Duez, L, Sejer Hansen, V, Udupi, A, Wennberg, R, Rampp, S, Larsson, P G, Schulz, R & Beniczky, S 2020, ' Optimized set of criteria for defining interictal epileptiform EEG discharges ', Clinical Neurophysiology, vol. 131, no. 9, pp. 2250-2254 . https://doi.org/10.1016/j.clinph.2020.06.026
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- Objective To find and validate the optimal combination of criteria that define interictal epileptiform EEG discharges (IEDs). Our target was a specificity over 95%, to avoid over-reading in clinical EEG. Methods We constructed 63 combinations of the six criteria from the operational definition of IEDs, recently issued in the EEG-glossary of the International Federation of Clinical Neurophysiology (IFCN). The diagnostic gold standard was derived from video-EEG recordings. In a testing EEG dataset from 100 patients, we selected the best performing combinations of criteria and then we validated them in an independent dataset from 70 patients. We compared their performance with subjective, expert-scorings and we determined inter-rater agreement (IRA). Results Without using criteria, the specificity of expert-scorings was lower than the pre-defined threshold (86%). The best performing combination of criteria was the following: waves with spiky morphology, followed by a slow-afterwave and voltage map suggesting a source in the brain. In the validation dataset this achieved a specificity of 97% and a sensitivity of 89%. IRA was substantial. Conclusions The optimized set of criteria for defining IEDs has high accuracy and IRA. Significance Using these criteria will contribute to decreasing over-reading of EEG and avoid misdiagnosis of epilepsy.
- Subjects :
- Adult
Male
medicine.medical_specialty
Adolescent
Computer science
Diagnostic accuracy EEG
Electroencephalography
Clinical neurophysiology
050105 experimental psychology
Set (abstract data type)
Young Adult
03 medical and health sciences
0302 clinical medicine
Physiology (medical)
medicine
Humans
Optimal combination
0501 psychology and cognitive sciences
Ictal
Child
Aged
Retrospective Studies
Aged, 80 and over
Epilepsy
medicine.diagnostic_test
business.industry
05 social sciences
Brain
Pattern recognition
Definition
Gold standard (test)
Middle Aged
Interictal epileptiform discharges
Criteria
Sensory Systems
Neurology
Child, Preschool
Female
Neurology (clinical)
Artificial intelligence
business
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 13882457
- Volume :
- 131
- Database :
- OpenAIRE
- Journal :
- Clinical Neurophysiology
- Accession number :
- edsair.doi.dedup.....1c2f9f6cbe9d0952ff49609f62e3332f
- Full Text :
- https://doi.org/10.1016/j.clinph.2020.06.026