Standardized Computer‐based Organized Reporting of EEG: SCORE |
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| Authors: | Sándor Beniczky Harald Aurlien Jan C. Brøgger Anders Fuglsang‐Frederiksen António Martins‐da‐Silva Eugen Trinka Gerhard Visser Guido Rubboli Helle Hjalgrim Hermann Stefan Ingmar Rosén Jana Zarubova Judith Dobesberger Jørgen Alving Kjeld V. Andersen Martin Fabricius Mary D. Atkins Miri Neufeld Perrine Plouin Petr Marusic Ronit Pressler Ruta Mameniskiene Rüdiger Hopfengärtner Walter van Emde Boas Peter Wolf |
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| Affiliation: | 1. Department of Clinical Neurophysiology, Danish Epilepsy Centre, , Dianalund, Denmark;2. Department of Clinical Neurophysiology, University of Aarhus, Aarhus, , Denmark;3. Department of Neurology, Haukeland University Hospital, Bergen, Norway and Department of Clinical Medicine, University of Bergen, Bergen, , Norway;4. Department of Neurological Disorders, Hospital Santo António/CHP and UMIB/ICBAS–University of Porto, Porto, , Portugal;5. Department of Neurology, Paracelsus Medical University, , Salzburg, Austria;6. Department of Clinical Neurophysiology, Epilepsy Institute in the Netherlands (SEIN), “Meer and Bosch”, , Heemstede, The Netherlands;7. IRCCS Institute of Neurological Sciences, Bellaria Hospital, , Bologna, Italy;8. Epilepsy Center, Neurological Clinic, University Hospital Erlangen, , Erlangen, Germany;9. Department of Clinical Neurophysiology, University of Lund, Lund, , Sweden;10. Department of Neurology, Thomayer Hospital, , Prague, Czech Republic;11. Department of Clinical Neurophysiology, Glostrup Hospital, University of Copenhagen, , Copenhagen, Denmark;12. N?rmark Hospital, , Ish?j, Denmark;13. EEG and Epilepsy Unit, Department of Neurology, Tel‐Aviv Sourasky Medical Center, Tel‐Aviv University, Tel‐Aviv, , Israel;14. Hopital Necker Enfants Malades, , Paris, France;15. Department of Neurology, 2nd Faculty of Medicine, Charles University in Prague, Motol University Hospital, , Prague, Czech Republic;16. Great Ormond Street Hospital for Children, NHS Foundation Trust, , London, United Kingdom;17. Department of Neurology, Vilnius University Hospital “Santari?ki? klinikos” Vilnius, Lithuania and, Clinic of Neurology and Neurosurgery, Faculty of Medicine, Vilnius University, Vilnius, , Lithuania;18. Department of Neurology, Danish Epilepsy Centre, , Dianalund, Denmark |
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| Abstract: | The electroencephalography (EEG) signal has a high complexity, and the process of extracting clinically relevant features is achieved by visual analysis of the recordings. The interobserver agreement in EEG interpretation is only moderate. This is partly due to the method of reporting the findings in free‐text format. The purpose of our endeavor was to create a computer‐based system for EEG assessment and reporting, where the physicians would construct the reports by choosing from predefined elements for each relevant EEG feature, as well as the clinical phenomena (for video‐EEG recordings). A working group of EEG experts took part in consensus workshops in Dianalund, Denmark, in 2010 and 2011. The faculty was approved by the Commission on European Affairs of the International League Against Epilepsy (ILAE). The working group produced a consensus proposal that went through a pan‐European review process, organized by the European Chapter of the International Federation of Clinical Neurophysiology. The Standardised Computer‐based Organised Reporting of EEG (SCORE) software was constructed based on the terms and features of the consensus statement and it was tested in the clinical practice. The main elements of SCORE are the following: personal data of the patient, referral data, recording conditions, modulators, background activity, drowsiness and sleep, interictal findings, “episodes” (clinical or subclinical events), physiologic patterns, patterns of uncertain significance, artifacts, polygraphic channels, and diagnostic significance. The following specific aspects of the neonatal EEGs are scored: alertness, temporal organization, and spatial organization. For each EEG finding, relevant features are scored using predefined terms. Definitions are provided for all EEG terms and features. SCORE can potentially improve the quality of EEG assessment and reporting; it will help incorporate the results of computer‐assisted analysis into the report, it will make possible the build‐up of a multinational database, and it will help in training young neurophysiologists. |
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| Keywords: | Assessment Database Definitions
EEG
Semiology Terms |
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