Functional neuroimaging in nonepileptiform electroencephalographic patterns in status epilepticus
- PMID: 34390250
- DOI: 10.1111/ane.13515
Functional neuroimaging in nonepileptiform electroencephalographic patterns in status epilepticus
Abstract
Background: The diagnosis of nonconvulsive status epilepticus (NCSE) in patients with nonepileptiform EEG patterns remains a challenge.
Objective: To evaluate the usefulness of single photon emission computerized tomography (SPECT) and its quantification (QtSPECT) in the diagnosis of NCSE.
Methods: We retrospectively reviewed patients admitted with clinical suspicion of NCSE who underwent an HMPAO-SPECT simultaneously with scalp EEG showing nonepileptiform patterns, in a 5-year period. After a complete diagnostic workup, treatment, and clinical evolution, disregarding the SPECT results, patients were classified into confirmed NCSE (n = 11) and non-NCSE (n = 8). Then, we compared the EEG and SPECT results in both groups.
Results: Lateralized rhythmic delta activity (LRDA) was predominant in the NCSE group (45.4%, p = .045), while lateralized irregular slowing was observed equally in both groups. Patients with NCSE showed significant hyperperfusion compared with non-NCSE patients (p = .026). QtSPECT correctly classified 91% of patients in NCSE and 75% patients with non-NCSE (p = .006).
Conclusions: Regional cerebral blood flow measured with SPECT could be useful in the diagnosis of NCSE in cases of an EEG pattern with lateralized slow activity and high clinical suspicion.
Keywords: SPECT; ictal-interictal continuum; lateralized rhythmic delta activity; nonconvulsive status epilepticus; quantified SPECT.
© 2021 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.
References
REFERENCES
-
- Meierkord H, Holtkamp M. Non-convulsive status epilepticus in adults: clinical forms and treatment. Lancet Neurol. 2007;6:329-339.
-
- Young BG, Jordan KG, Doig GS. An assessment of nonconvulsive seizures in the intensive care unit using continuous EEG monitoring: an investigation of variables associated with mortality. Neurology. 1996;47:83-89.
-
- Leitinger M, Trinka E, Gardella E, et al. Diagnostic accuracy of the Salzburg EEG criteria for non-convulsive status epilepticus: a retrospective study. Lancet Neurol. 2016;15:1054-1062.
-
- Lee JW, LaRoche S, Choi H, et al. Development and feasibility testing of a critical care EEG monitoring database for standardized clinical reporting and multicenter collaborative research. J Clin Neurophysiol. 2016;33:133-140.
-
- Johnson EL, Kaplan PW. Population of the ictal-interictal zone: the significance of periodic and rhythmic activity. Clin Neurophysiol Pract. 2017;2:107-118.
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