Evidence map›Paper›PMID 26243791›Full record

SynthesisNeuro-oncology2016

Performance of 18F-FET versus 18F-FDG-PET for the diagnosis and grading of brain tumors: systematic review and meta-analysis.

Vincent Dunet, Anastasia Pomoni, Andreas Hottinger, Marie Nicod-Lalonde, John O Prior

Registry-linked trialOpen access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Neuro-oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06466031 (Application of FET-PET in Fusion With MRI in the Surgical Treatment and Postoperative Radiotherapy of Glioblastoma Multiforme - a Randomized, Blinded, Prospective Study), which is not on this map. Cited by 78 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 4 pooled it
9.2field-weighted citation impact, top 1% 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.

NCT06466031 narecruitingnot on this mapstarted 2025, after this paper: background citation

Application of FET-PET in Fusion With MRI in the Surgical Treatment and Postoperative Radiotherapy of Glioblastoma Multiforme - a Randomized, Blinded, Prospective Study

TypeinterventionalSponsorCopernicus Memorial HospitalRan2025 to 2032Enrolled189ConditionsGlioblastoma MultiformeArmsMRI & PET fusion, MRI+T1C
3 · Its place in the literature

Who cites it

78 citing papers in PubMed, 4 syntheses or guidelines pooled it, 180 citations in OpenAlex.

  1. Prediction of Meningioma WHO Grade Using PET Findings: A Systematic Review and Meta-Analysis.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2021
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Annals of nuclear medicine · 2025
    Trial
  6. Trial
  7. Comparative Insights intoMolecular imaging and radionuclide therapy · 2026
    Article
  8. Review
  9. Exploring the feasibility of a 40-minute uptake time for long axial field of view [European journal of nuclear medicine and molecular imaging · 2026
    Article
  10. [Journal of neuro-oncology · 2026
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Phase I study of [European journal of nuclear medicine and molecular imaging · 2025
    Article
  16. Review
  17. Multiparametric simultaneous hybridQuantitative imaging in medicine and surgery · 2024
    Article
  18. Article
  19. Recent Update on PET/CT Radiotracers for Imaging Cerebral Glioma.Nuclear medicine and molecular imaging · 2024
    Review
  20. Review

18 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Vincent DunetDepartment of Radiology, Lausanne University Hospital, Lausanne, Switzerland (V.D.); Nuclear Medicine, Lausanne University Hospital, Lausanne, Switzerland (A.P., M.N.-L., J.O.P.); Clinical Neurosciences, Lausanne University Hospital, Lausanne, Switzerland (A.H.); Oncology, Lausanne University Hospital, Lausanne, Switzerland (A.H.).
Anastasia PomoniDepartment of Radiology, Lausanne University Hospital, Lausanne, Switzerland (V.D.); Nuclear Medicine, Lausanne University Hospital, Lausanne, Switzerland (A.P., M.N.-L., J.O.P.); Clinical Neurosciences, Lausanne University Hospital, Lausanne, Switzerland (A.H.); Oncology, Lausanne University Hospital, Lausanne, Switzerland (A.H.).
Andreas HottingerDepartment of Radiology, Lausanne University Hospital, Lausanne, Switzerland (V.D.); Nuclear Medicine, Lausanne University Hospital, Lausanne, Switzerland (A.P., M.N.-L., J.O.P.); Clinical Neurosciences, Lausanne University Hospital, Lausanne, Switzerland (A.H.); Oncology, Lausanne University Hospital, Lausanne, Switzerland (A.H.).
Marie Nicod-LalondeDepartment of Radiology, Lausanne University Hospital, Lausanne, Switzerland (V.D.); Nuclear Medicine, Lausanne University Hospital, Lausanne, Switzerland (A.P., M.N.-L., J.O.P.); Clinical Neurosciences, Lausanne University Hospital, Lausanne, Switzerland (A.H.); Oncology, Lausanne University Hospital, Lausanne, Switzerland (A.H.).
John O PriorDepartment of Radiology, Lausanne University Hospital, Lausanne, Switzerland (V.D.); Nuclear Medicine, Lausanne University Hospital, Lausanne, Switzerland (A.P., M.N.-L., J.O.P.); Clinical Neurosciences, Lausanne University Hospital, Lausanne, Switzerland (A.H.); Oncology, Lausanne University Hospital, Lausanne, Switzerland (A.H.).
University of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFor the past decade (18)F-fluoro-ethyl-l-tyrosine (FET) and (18)F-fluoro-deoxy-glucose (FDG) positron emission tomography (PET) have been used for the assessment of patients with brain tumor. However, direct comparison studies reported only limited numbers of patients. Our purpose was to compare the diagnostic performance of FET and FDG-PET.

methodsWe examined studies published between January 1995 and January 2015 in the PubMed database. To be included the study should: (i) use FET and FDG-PET for the assessment of patients with isolated brain lesion and (ii) use histology as the gold standard. Analysis was performed on a per patient basis. Study quality was assessed with STARD and QUADAS criteria.

resultsFive studies (119 patients) were included. For the diagnosis of brain tumor, FET-PET demonstrated a pooled sensitivity of 0.94 (95% CI: 0.79-0.98) and pooled specificity of 0.88 (95% CI: 0.37-0.99), with an area under the curve of 0.96 (95% CI: 0.94-0.97), a positive likelihood ratio (LR+) of 8.1 (95% CI: 0.8-80.6), and a negative likelihood ratio (LR-) of 0.07 (95% CI: 0.02-0.30), while FDG-PET demonstrated a sensitivity of 0.38 (95% CI: 0.27-0.50) and specificity of 0.86 (95% CI: 0.31-0.99), with an area under the curve of 0.40 (95% CI: 0.36-0.44), an LR+ of 2.7 (95% CI: 0.3-27.8), and an LR- of 0.72 (95% CI: 0.47-1.11). Target-to-background ratios of either FDG or FET, however, allow distinction between low- and high-grade gliomas (P > .11).

conclusionsFor brain tumor diagnosis, FET-PET performed much better than FDG and should be preferred when assessing a new isolated brain tumor. For glioma grading, however, both tracers showed similar performances.

Indexed as

Positron-Emission TomographyBrain NeoplasmsFluorodeoxyglucose F18GliomaHumansNeoplasm GradingRadiopharmaceuticalsFluorodeoxyglucose F18Radiopharmaceuticals18F-fluoro-deoxy-glucose18F-fluoro-ethyl-tyrosinebrain tumormeta-analysisPET

Identifiers

PMID26243791
PMCPMC4767236
OpenAlexW2113122028

What OpenQuestion holds

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Registered trials

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.