Evidence map›Paper›PMID 35852737›Full record

ArticleJournal of neuro-oncology2022

Static FET PET radiomics for the differentiation of treatment-related changes from glioma progression.

Marguerite Müller, Oliver Winz, Robin Gutsche, Ralph T H Leijenaar, Martin Kocher, Christoph Lerche, Christian P Filss, Gabriele Stoffels, Eike Steidl, Elke Hattingen and 7 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of neuro-oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 pooled it
2.6field-weighted citation impact, top 10% of its field
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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Analysis of imaging signatures inFrontiers in oncology · 2025
    Article
  6. Review
  7. Resolving spatial response heterogeneity in glioblastoma.European journal of nuclear medicine and molecular imaging · 2024
    Article
  8. Contribution of [Pharmaceuticals (Basel, Switzerland) · 2024
    Review
  9. Article
  10. Review
  11. Cancers · 2023
    Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. 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

17 authors at 8 institutions in 2 countries.

Marguerite MüllerDepartment of Nuclear Medicine and Comprehensive Diagnostic Center Aachen (CDCA), RWTH Aachen University, Aachen, Germany.
Oliver WinzDepartment of Nuclear Medicine and Comprehensive Diagnostic Center Aachen (CDCA), RWTH Aachen University, Aachen, Germany.
Robin GutscheInstitute of Neuroscience and Medicine (INM-3, -4, -11), Research Center Juelich (FZJ), Juelich, Germany.
Ralph T H LeijenaarDepartment of Radiation Oncology (MAASTRO), Maastricht University Medical Center (MUMC+), Maastricht, The Netherlands.
Martin KocherInstitute of Neuroscience and Medicine (INM-3, -4, -11), Research Center Juelich (FZJ), Juelich, Germany.
Christoph LercheInstitute of Neuroscience and Medicine (INM-3, -4, -11), Research Center Juelich (FZJ), Juelich, Germany.
Christian P FilssDepartment of Nuclear Medicine and Comprehensive Diagnostic Center Aachen (CDCA), RWTH Aachen University, Aachen, Germany.
Gabriele StoffelsInstitute of Neuroscience and Medicine (INM-3, -4, -11), Research Center Juelich (FZJ), Juelich, Germany.
Eike SteidlInstitute of Neuroradiology, University Hospital, Goethe University Frankfurt am Main, Frankfurt am Main, Germany.
Elke HattingenInstitute of Neuroradiology, University Hospital, Goethe University Frankfurt am Main, Frankfurt am Main, Germany.
Joachim P SteinbachUniversity Cancer Center Frankfurt (UCT), University Hospital, Goethe University Frankfurt am Main, Frankfurt am Main, Germany.
Gabriele D MaurerUniversity Cancer Center Frankfurt (UCT), University Hospital, Goethe University Frankfurt am Main, Frankfurt am Main, Germany.
Alexander HeinzelDepartment of Nuclear Medicine and Comprehensive Diagnostic Center Aachen (CDCA), RWTH Aachen University, Aachen, Germany.
Norbert GalldiksCenter for Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany.
Felix M MottaghyDepartment of Nuclear Medicine and Comprehensive Diagnostic Center Aachen (CDCA), RWTH Aachen University, Aachen, Germany.
Karl-Josef LangenDepartment of Nuclear Medicine and Comprehensive Diagnostic Center Aachen (CDCA), RWTH Aachen University, Aachen, Germany.
Philipp LohmannInstitute of Neuroscience and Medicine (INM-3, -4, -11), Research Center Juelich (FZJ), Juelich, Germany. p.lohmann@fz-juelich.de.
Forschungszentrum Jülich · DEFrankfurt Cancer Institute · DERWTH Aachen University · DEUniversity Hospital Cologne · DEGoethe University Frankfurt · DEMaastricht University · NLMaastro Clinic · NLUniversity of Cologne · DE

Funding

Deutsche Forschungsgemeinschaft 428090865/SPP 2177
6 · The paper itself

Abstract

purposeTo investigate the potential of radiomics applied to static clinical PET data using the tracer O-(2-[ PATIENTS AND

methodsOne hundred fifty-one (151) patients with histologically confirmed gliomas and post-therapeutic progressive MRI findings according to the response assessment in neuro-oncology criteria underwent a dynamic amino acid PET scan using the tracer O-(2-[

resultsThirty-seven patients (25%) were diagnosed with TRC, and 114 (75%) with TP. The logistic regression model comprising the conventional FET PET parameters TBR

conclusionThe developed radiomics classifier allows the differentiation between TRC and TP in pretreated gliomas based on routinely acquired static FET PET scans with a high diagnostic accuracy.

Indexed as

Brain NeoplasmsGliomaHumansMagnetic Resonance ImagingPositron-Emission TomographyTyrosineTyrosineAmino acid PETArtificial intelligence (AI)Brain tumorsMachine learning

Identifiers

PMID35852737
PMCPMC9477932
OpenAlexW4285793718

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.