Evidence map›Paper›PMID 38970818›Full record

ReviewNeuro-oncology2024

PET imaging of gliomas: Status quo and quo vadis?

Norbert Galldiks, Philipp Lohmann, Michel Friedrich, Jan-Michael Werner, Isabelle Stetter, Michael M Wollring, Garry Ceccon, Carina Stegmayr, Sandra Krause, Gereon R Fink and 3 more

Abstract readReview
In one paragraph

Review in Neuro-oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Accelerating discovery: Transformative clinical trial models in neuro-oncology.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
    Review
  3. Review
  4. Diagnostic accuracy of [Neuroradiology · 2026
    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

13 authors.

Norbert GalldiksDepartment of Neurology, University Hospital of Cologne, University of Cologne, Cologne, Germany.ORCID 0000-0002-2485-1796
Philipp LohmannInstitute of Neuroscience and Medicine (INM-3, INM-4), Research Center Juelich, Juelich, Germany.ORCID 0000-0002-5360-046X
Michel FriedrichInstitute of Neuroscience and Medicine (INM-3, INM-4), Research Center Juelich, Juelich, Germany.
Jan-Michael WernerDepartment of Neurology, University Hospital of Cologne, University of Cologne, Cologne, Germany.
Isabelle StetterDepartment of Neurology, University Hospital of Cologne, University of Cologne, Cologne, Germany.
Michael M WollringDepartment of Neurology, University Hospital of Cologne, University of Cologne, Cologne, Germany.
Garry CecconDepartment of Neurology, University Hospital of Cologne, University of Cologne, Cologne, Germany.
Carina StegmayrInstitute of Neuroscience and Medicine (INM-3, INM-4), Research Center Juelich, Juelich, Germany.
Sandra KrauseInstitute of Neuroscience and Medicine (INM-3, INM-4), Research Center Juelich, Juelich, Germany.
Gereon R FinkDepartment of Neurology, University Hospital of Cologne, University of Cologne, Cologne, Germany.
Ian LawDepartment of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.
Karl-Josef LangenInstitute of Neuroscience and Medicine (INM-3, INM-4), Research Center Juelich, Juelich, Germany.
Joerg-Christian TonnDepartment of Neurosurgery, University Hospital of Munich (LMU), Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PET imaging, particularly using amino acid tracers, has become a valuable adjunct to anatomical MRI in the clinical management of patients with glioma. Collaborative international efforts have led to the development of clinical and technical guidelines for PET imaging in gliomas. The increasing readiness of statutory health insurance agencies, especially in European countries, to reimburse amino acid PET underscores its growing importance in clinical practice. Integrating artificial intelligence and radiomics in PET imaging of patients with glioma may significantly improve tumor detection, segmentation, and response assessment. Efforts are ongoing to facilitate the clinical translation of these techniques. Considerable progress in computer technology developments (eg quantum computers) may be helpful to accelerate these efforts. Next-generation PET scanners, such as long-axial field-of-view PET/CT scanners, have improved image quality and body coverage and therefore expanded the spectrum of indications for PET imaging in Neuro-Oncology (eg PET imaging of the whole spine). Encouraging results of clinical trials in patients with glioma have prompted the development of PET tracers directing therapeutically relevant targets (eg the mutant isocitrate dehydrogenase) for novel anticancer agents in gliomas to improve response assessment. In addition, the success of theranostics for the treatment of extracranial neoplasms such as neuroendocrine tumors and prostate cancer has currently prompted efforts to translate this approach to patients with glioma. These advancements highlight the evolving role of PET imaging in Neuro-Oncology, offering insights into tumor biology and treatment response, thereby informing personalized patient care. Nevertheless, these innovations warrant further validation in the near future.

Indexed as

Brain NeoplasmsGliomaPositron-Emission TomographyHumansRadiopharmaceuticalsRadiopharmaceuticalsFETglioblastomaIDHsupercomputingvorasidenib

Identifiers

PMID38970818
PMCPMC11631135

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.