Evidence map›Paper›PMID 41144997›Full record

ArticleJournal of neurosurgery. Case lessons2025

PET imaging pitfall in recurrent oligodendroglioma with drug-resistant epilepsy: illustrative case.

Sebastian Niedermeyer, Michael Schmutzer-Sondergeld, Sabrina V Kirchleitner, Stefanie Quach, Nathalie L Albert, Niklas Thon

Abstract read
In one paragraph

Article in Journal of neurosurgery. Case lessons, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Sebastian NiedermeyerDepartment of Neurosurgery, LMU University Hospital, LMU Munich, Munich, Germany.
Michael Schmutzer-SondergeldDepartment of Neurosurgery, LMU University Hospital, LMU Munich, Munich, Germany.
Sabrina V KirchleitnerDepartment of Neurosurgery, LMU University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0001-6864-3369
Stefanie QuachDepartment of Neurosurgery, LMU University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0003-2914-3649
Nathalie L AlbertDepartment of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Niklas ThonDepartment of Neurosurgery, LMU University Hospital, LMU Munich, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMRI and PET imaging using radiolabeled amino acids offer a valuable adjunct for defining the extent of tumor growth in gliomas, assessing treatment response, and distinguishing true progression from pseudoprogression. OBSERVATIONS: The authors report the case of a 37-year-old patient with intractable epilepsy and suspected recurrence of an oligodendroglioma. MRI revealed progressive gadolinium enhancement in the right frontal lobe, and both fluorethylthyrosine PET and translocator protein imaging demonstrated high tracer uptake in the same region, raising concern for tumor recurrence and progression. The patient underwent extensive resection of the right frontal lobe beyond contrast enhancement. Postoperatively, seizures were well controlled. Interestingly, histopathological analysis revealed predominantly normal brain tissue next to a limited area of tumor recurrence, demonstrating that the observed MRI and PET abnormalities were seizure-induced changes rather than tumor recurrence. LESSONS: In patients with epileptic seizures, MRI and PET abnormalities may overestimate tumor recurrence and should be interpreted with caution. https://thejns.org/doi/10.3171/CASE25589.

Indexed as

epilepsyoligodendrogliomaPET imaging

Identifiers

PMID41144997
PMCPMC12558355

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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.