Evidence map›Paper›PMID 40856188›Full record

ArticleNeuro-oncology2025

Prognostic stratification of newly diagnosed IDH-mutant gliomas by [18F]fluoroethyltyrosine and [11C]methionine PET: A retrospective, bicentric cohort study.

Maximilian J Mair, Jan-Michael Werner, Jonathan Weller, Enio Barci, Sophie Katzendobler, Jera Isakaj, Luzia Berchtold, Thedora Aras, Roman Stürzl, Juliane Hennenberg and 16 more

Abstract readMulticenter Study
In one paragraph

Article in Neuro-oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Characteristics of [European journal of nuclear medicine and molecular imaging · 2026
    Article
  3. [Journal of neuro-oncology · 2026
    Article
  4. Article
  5. Article
  6. Article
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

26 authors.

Maximilian J MairDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
Jan-Michael WernerDepartment of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.ORCID 0000-0001-7147-4594
Jonathan WellerDepartment of Neurosurgery, LMU University Hospital, LMU Munich, Munich, Germany.
Enio BarciDepartment of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Sophie KatzendoblerDepartment of Neurosurgery, LMU University Hospital, LMU Munich, Munich, Germany.
Jera IsakajDepartment of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Luzia BerchtoldInstitute of Medical Statistics, Center for Medical Data Science, Medical University of Vienna, Vienna, Austria.
Thedora ArasDepartment of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Roman StürzlDepartment of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Juliane HennenbergDivision of Neuroradiology and Musculoskeletal Radiology, Department of Radiology and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
Jonas ReisInstitute of Neuroradiology, LMU University Hospital, LMU Munich, Germany.
Hannah C PuhrDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
Thomas SchabhüttlDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
Barbara KieselDepartment of Neurosurgery, Medical University of Vienna, Vienna, Austria.ORCID 0000-0003-0939-9831
Georg WidhalmDepartment of Neurosurgery, Medical University of Vienna, Vienna, Austria.ORCID 0000-0001-6014-0273
Adelheid WöhrerDivision of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria.
Thomas NakuzDivision of Nuclear Medicine, Department of Radiology and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
Marcus HackerDivision of Nuclear Medicine, Department of Radiology and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
Julia FurtnerResearch Center for Medical Image Analysis and Artificial Intelligence (MIAAI), Faculty of Medicine and Dentistry, Danube Private University, Krems, Austria.ORCID 0000-0001-8258-3681
Stephan SchöneckerDepartment of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany.
Patrick N HarterGerman Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany.
Louisa von BaumgartenDepartment of Neurology, LMU University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0002-6634-0927
Anna S BerghoffDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
Niklas ThonDepartment of Neurosurgery, Knappschaft University Hospital Bochum, Bochum, Germany.
Matthias PreusserDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
Nathalie L AlbertGerman Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany.ORCID 0000-0003-0953-7624

Funding

ESMO Translational Research FellowshipEuropean Society for Medical OncologyLMU Hospital MunichMedical University of ViennaNuclear Medicine and Neuro-OncologyThomas Kirch Foundation
6 · The paper itself

Abstract

backgroundImproved prognostic stratification, including imaging-based parameters, is needed to guide treatment decisions in IDH-mutant glioma.

methodsIn this bicentric retrospective study, 457 patients with IDH-mutant glioma and [18F]fluoroethyltyrosine or [11C]methionine positron emission tomography (PET) prior to radiotherapy or systemic treatment were included. Associations of maximum and mean tumor-to-background ratios (TBRmax/TBRmean) and PET-positive volume (PET volume) with time to next intervention (TTNI) and overall survival (OS) were analyzed.

resultsOverall, 251 (54.9%) patients with astrocytoma and 206 (45.1%) with oligodendroglioma were included. In patients with astrocytoma who underwent PET before resection, measurable disease according to PET RANO 1.0 criteria was associated with shorter TTNI compared to no/non-measurable disease (median 46.0 vs. 67.9 months; P = .004). Univariable analysis showed an association of TTNI with TBRmax, TBRmean, and PET volume in astrocytoma and PET volume in oligodendroglioma. Multivariable analyses including age, WHO grade, extent of resection, postoperative treatment, and magnetic resonance imaging (MRI)-based tumor extent indicated an association of TTNI with TBRmax (HR 1.48 [95%CI: 1.09-2.01]) and TBRmean (HR 1.93 [95%CI: 1.14-3.27]) in astrocytoma and PET volume (HR [10 ml increase]: 1.18 [95%CI: 1.03-1.36]) in oligodendroglioma. In astrocytoma, also OS was related to TBRmax (HR: 1.40 [95%CI: 1.13-1.74]), TBRmean (HR: 1.97 [95%CI: 1.21-3.22]), and PET volume (HR: 1.23 [95%CI: 1.10-1.37]) in univariable analysis. Further analyses considering timepoint of PET showed consistent results.

conclusionsIn this retrospective study, amino acid PET parameters were associated with outcome in newly diagnosed IDH-mutant glioma. Future clinical trials should include PET imaging to define imaging-based prognostic signatures.

Indexed as

Brain NeoplasmsGliomaIsocitrate DehydrogenaseMethionineMutationPositron-Emission TomographyTyrosineAdultAgedCarbon RadioisotopesFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosis(18F)fluoroethyltyrosinecarbon-11 methionineCarbon RadioisotopesIDH1 protein, humanIsocitrate DehydrogenaseMethionineRadiopharmaceuticalsTyrosineastrocytomagliomaoligodendrogliomapositron emission tomographyprognosis

Identifiers

PMID40856188
PMCPMC12916739

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