Evidence map›Paper›PMID 41008907›Full record

ArticleCancers2025

Brainstem Glioma Prognostication: Static FET PET/CT.

Dávid Gergő Nagy, Júlia Singer, Katalin Borbély

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

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Dávid Gergő NagyDepartment of Neurosurgery and Neurointervention, Semmelweis University, 1145 Budapest, Hungary.
Júlia SingerAccelsiors Ltd., 1222 Budapest, Hungary.
Katalin BorbélyClinic for Neurology, Semmelweis University, 1083 Budapest, Hungary.ORCID 0000-0002-1675-4128

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesThe classification and staging of brainstem glioma have its own pitfalls. Surgical biopsy is only possible in a small number of cases. Diagnosis relies mainly on radiological features. Any treatment may have a significant impact on quality of life; therefore, the correct and early identification of potentially malignant lesions is essential to initiate proper therapy. Amino acid PET/CT with accurate metabolic mapping can help in this decision-making.

methodsWe performed a retrospective analysis of 20 patients who underwent static FET PET/CT with uncertain brainstem lesions between November 2019 and April 2023. We used multiple tumor-to-brain ratios (TBR) to assess patient subgroups showing long-term and short-term survival.

resultsThe maximum Youden index was reached at TBR = 2.9. With this ratio, the estimated sensitivity was at the desired level (91.7%), both positive and negative predictive values are in the good performance range (68.8 and 75.0%), while specificity was lower than expected (37.5%).

conclusionsThe prognosis of brainstem glioma remains challenging. The use of static FET PET/CT results in more accurate detection of high-grade lesions. In our analysis, we found a TBR value of 2.9 to be the most appropriate for identifying patients with a poor prognosis.

Indexed as

amino acid PET/CTbrainstem gliomaFET PET/CTTBR cutoff value

Identifiers

PMID41008907
PMCPMC12468280

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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.