Evidence map›Paper›PMID 29016947›Full record

ArticleNeuro-oncology2018

Visual and semiquantitative 11C-methionine PET: an independent prognostic factor for survival of newly diagnosed and treatment-naïve gliomas.

Nina Poetsch, Adelheid Woehrer, Johanna Gesperger, Julia Furtner, Alexander R Haug, Dorothee Wilhelm, Georg Widhalm, Georgios Karanikas, Michael Weber, Ivo Rausch and 5 more

Abstract read
In one paragraph

Article in Neuro-oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. The prognostic value of [European journal of nuclear medicine and molecular imaging · 2018
    Trial
  2. Article
  3. Article
  4. Article
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  6. The prognostic power of [Journal of neuro-oncology · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. DynamicCancers · 2021
    Article
  12. Article
  13. A Nomogram ModelingFrontiers in oncology · 2020
    Article
  14. Re-evaluation of the diagnostic performance ofEuropean journal of nuclear medicine and molecular imaging · 2019
    Article
  15. Article
  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

15 authors.

Nina PoetschDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Adelheid WoehrerInstitute of Neurology, Medical University of Vienna, Vienna, Austria.
Johanna GespergerInstitute of Neurology, Medical University of Vienna, Vienna, Austria.
Julia FurtnerDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Alexander R HaugDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Dorothee WilhelmDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Georg WidhalmDepartment of Neurosurgery, Medical University of Vienna, Vienna, Austria.
Georgios KaranikasDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Michael WeberDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Ivo RauschCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
Markus MitterhauserDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Wolfgang WadsakDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Marcus HackerDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Matthias PreusserDepartment of Internal Medicine I, Medical University of Vienna, Vienna, Austria.
Tatjana Traub-WeidingerDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Few data exist regarding the prognostic value of L-[S-methyl-11C]methionine (MET) PET for treatment-naïve gliomas. Methods: A total of 160 glioma patients (89 men, 71 women; mean age: 45, range 18-84 y) underwent a MET PET prior to any therapy. The PET scans were evaluated visually and semiquantitatively by tumor-to-background (T/N) ratio thresholds chosen by analysis of receiver operating characteristics. Additionally, isocitrate dehydrogenase 1-R132H (IDH1-R132H) immunohistochemistry was performed. Survival analysis was done using Kaplan-Meier estimates and the Cox proportional hazards model. Results: Significantly shorter mean survival times (7.2 vs 8.6 y; P = 0.024) were seen in patients with amino acid avid gliomas (n = 137) compared with visually negative tumors (n = 33) in MET PET. T/N ratio thresholds of 2.1 and 3.5 were significantly associated with survival (10.3 vs 7 vs 4.3 y; P < 0.001). Mean survival differed significantly using the median T/N ratio of 2.4 as cutoff, independent of histopathology (P < 0.01; mean survival: 10.2 ± 0.8 y vs 5.5 ± 0.6 y). In the subgroup of 142 glioma patients characterized by IDH1-R132H status, METT/N ratio demonstrated a significant prognostic impact in IDH1-R132H wildtype astrocytomas and glioblastoma (P = 0.001). Additionally, multivariate testing revealed semiquantitative MET PET as an independent prognostic parameter for treatment-naïve glioma patients without (P = 0.031) and with IDH1-R132H characterization of gliomas (P = 0.024; odds ratio 1.57). Conclusion: This retrospective analysis demonstrates the value of MET PET as a prognostic parameter on survival in treatment-naïve glioma patients.

Indexed as

MethionineAdolescentAdultAgedAged, 80 and overBrain NeoplasmsFemaleFollow-Up StudiesGliomaHumansMaleMiddle AgedPositron-Emission TomographyPrognosisRetrospective StudiesSurvival Ratecarbon-11 methionineMethionine

Identifiers

PMID29016947
PMCPMC5817953

What OpenQuestion holds

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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.