Bibliographic Details
| Title: |
Long-term-video monitoring EEG and 18F-FDG-PET are useful tools to detect residual disease activity in anti-LGI1-Abs encephalitis: A case report |
| Authors: |
Sara Cornacchini, Antonio Farina, Margherita Contento, Valentina Berti, Martina Biggi, Alessandro Barilaro, Luca Massacesi, Valentina Damato, Eleonora Rosati |
| Source: |
Frontiers in Neurology, Vol 13 (2022) |
| Publisher Information: |
Frontiers Media S.A., 2022. |
| Publication Year: |
2022 |
| Collection: |
LCC:Neurology. Diseases of the nervous system |
| Subject Terms: |
anti-LGI1-antibodies, autoimmune encephalitis, rituximab, 18F-FDG-PET, EEG, Neurology. Diseases of the nervous system, RC346-429 |
| More Details: |
BackgroundThe use of CD20-depleting monoclonal antibodies has shown to improve the long-term outcome of patients with anti-leucine-rich glioma-inactivated protein 1 antibodies (anti-LGI1-Abs) encephalitis after first-line immunotherapy, but currently predictive markers of treatment response and disease activity are lacking.Case presentationA 75-year-old man presented cognitive impairment and faciobrachial dystonic seizures (FBDS), with mild abnormalities at electroencephalography (EEG), normal brain magnetic resonance and cerebrospinal fluid (CSF) analysis. Anti-LGI1-Abs were detected in serum and CSF, and corticosteroids and intravenous immunoglobulins were administered. Despite partial cognitive improvement, 18F-fluoridesoxyglucose-positron emission tomography (18F-FDG-PET) showed the persistence of temporo-mesial hypermetabolism, and FBDS were still detected by long-term monitoring video EEG (LTMV EEG). Rituximab was therefore administered with FBDS disappearance, further cognitive improvement, and resolution of 18F-FDG-PET temporo-mesial hypermetabolism.ConclusionsOur experience supports the use of 18F-FDG-PET and LTMVEEG as useful tools to measure disease activity, evaluate treatment response and guide therapeutic decisions in the long-term management of anti-LGI1-antibody encephalitis. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
1664-2295 |
| Relation: |
https://www.frontiersin.org/articles/10.3389/fneur.2022.949240/full; https://doaj.org/toc/1664-2295 |
| DOI: |
10.3389/fneur.2022.949240 |
| Access URL: |
https://doaj.org/article/7f1507a92d824dcbbbdba1fba3564c48 |
| Accession Number: |
edsdoj.7f1507a92d824dcbbbdba1fba3564c48 |
| Database: |
Directory of Open Access Journals |
