Evidence map›Paper›PMID 40579841›Full record

ArticleEuropean journal of neurology2025

Longitudinal PET and MRI Evaluation in Late Onset Rasmussen Encephalitis: A Series of Three Cases.

Laura Rozenblum, Lydia Chougar, Franck Bielle, Bertrand Mathon, Vincent Navarro, Sophie Dupont, Aurélie Kas

Abstract readCase Reports
In one paragraph

Article in European journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Laura RozenblumDepartment of Nuclear Medicine, Pitié-Salpêtrière Hospital, APHP, Sorbonne Université, Paris, France.ORCID 0000-0002-6306-8008
Lydia ChougarDepartment of Neuroradiology, Pitié-Salpêtrière Hospital, Paris, France.ORCID 0000-0001-9306-5687
Franck BielleSorbonne Université, Paris Brain Institute-ICM, INSERM, CNRS, AP-HP, Department of Neuropathology, Pitié-Salpêtrière Hospital, Paris, France.
Bertrand MathonDepartment of Neurosurgery, Pitié-Salpêtrière Hospital, Paris, France.ORCID 0000-0002-9182-5846
Vincent NavarroDepartment of Neurology, Epilepsy Unit and Reference Center for Rare Epilepsies, ERN Epicare, AP-HP, La Pitié-Salpêtrière Hospital, Sorbonne Université, Paris, France.ORCID 0000-0003-0077-8114
Sophie DupontDepartment of Neurology, Epilepsy Unit and Reference Center for Rare Epilepsies, ERN Epicare, AP-HP, La Pitié-Salpêtrière Hospital, Sorbonne Université, Paris, France.ORCID 0000-0003-2080-8253
Aurélie KasDepartment of Nuclear Medicine, Pitié-Salpêtrière Hospital, APHP, Sorbonne Université, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRasmussen's encephalitis (RE) is a rare, chronic, neurological disorder characterized by progressive focal epilepsy and hemispheric atrophy. Late-onset RE poses diagnostic challenges due to atypical clinical features and nonspecific early MRI findings.

methodsThis case series underscores the value of [18F]FDG PET in detecting unihemispheric hypometabolism and crossed cerebellar diaschisis at diagnosis, before MRI changes appear.

resultsDuring follow-up, PET identified active disease through hypermetabolic foci or pseudo-normalized metabolism, indicative of subclinical seizures, while stable hypometabolism signaled quiescence.

conclusionCombining PET with MRI enhances diagnostic accuracy and guides treatment decisions in managing RE.

Indexed as

BrainEncephalitisMagnetic Resonance ImagingPositron-Emission TomographyFluorodeoxyglucose F18HumansLongitudinal StudiesFluorodeoxyglucose F18[18F]FDG PETcortical dysplasiadrug‐resistant epilepsyMRIRasmussen's encephalitis

Identifiers

PMID40579841
PMCPMC12205137

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.