Functional neuroimaging in nonepileptiform electroencephalographic patterns in status epilepticus
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...
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Published in: | Acta neurologica Scandinavica Vol. 144; no. 6; pp. 687 - 694 |
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Main Authors: | , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Copenhagen
Hindawi Limited
01-12-2021
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Subjects: | |
Online Access: | Get full text |
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Summary: | 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. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0001-6314 1600-0404 |
DOI: | 10.1111/ane.13515 |