Evidence map›Paper›PMID 26666239›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2016

Early static (18)F-FET-PET scans have a higher accuracy for glioma grading than the standard 20-40 min scans.

Nathalie L Albert, Isabel Winkelmann, Bogdana Suchorska, Vera Wenter, Christine Schmid-Tannwald, Erik Mille, Andrei Todica, Matthias Brendel, Jörg-Christian Tonn, Peter Bartenstein and 1 more

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Article in European journal of nuclear medicine and molecular imaging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 2 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

53 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. EANM practice guidelines for an appropriate use of PET and SPECT for patients with epilepsy.European journal of nuclear medicine and molecular imaging · 2024
    Guideline
  2. Pooled it
  3. Trial
  4. European journal of nuclear medicine and molecular imaging · 2019
    Trial
  5. Trial
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  7. Review
  8. Review
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  10. Remote Neuroinflammation in Newly Diagnosed Glioblastoma Correlates with Unfavorable Clinical Outcome.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Article
  11. Contribution of [Pharmaceuticals (Basel, Switzerland) · 2024
    Review
  12. Article
  13. Assessment of Brain Tumour Perfusion Using Early-PhaseMolecular imaging and biology · 2024
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  14. Article
  15. Advanced imaging findings in stroke-like migraine attacks after radiation therapy (SMART) syndrome.European journal of nuclear medicine and molecular imaging · 2023
    Article
  16. Article
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  18. Article
  19. Radiology · 2022
    Article
  20. Impact ofJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022
    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

11 authors.

Nathalie L AlbertDepartment of Nuclear Medicine, Ludwig-Maximilians-University Munich, Marchioninistr. 15, 81377, Munich, Germany. albert@med.uni-muenchen.de.
Isabel WinkelmannDepartment of Nuclear Medicine, Ludwig-Maximilians-University Munich, Marchioninistr. 15, 81377, Munich, Germany.
Bogdana SuchorskaDepartment of Neurosurgery, Ludwig-Maximilians-University Munich, Marchioninistr. 15, 81377, Munich, Germany.
Vera WenterDepartment of Nuclear Medicine, Ludwig-Maximilians-University Munich, Marchioninistr. 15, 81377, Munich, Germany.
Christine Schmid-TannwaldInstitute for Clinical Radiology, Ludwig-Maximilians-University Munich, Marchioninistr. 15, 81377, Munich, Germany.
Erik MilleDepartment of Nuclear Medicine, Ludwig-Maximilians-University Munich, Marchioninistr. 15, 81377, Munich, Germany.
Andrei TodicaDepartment of Nuclear Medicine, Ludwig-Maximilians-University Munich, Marchioninistr. 15, 81377, Munich, Germany.
Matthias BrendelDepartment of Nuclear Medicine, Ludwig-Maximilians-University Munich, Marchioninistr. 15, 81377, Munich, Germany.
Jörg-Christian TonnDepartment of Neurosurgery, Ludwig-Maximilians-University Munich, Marchioninistr. 15, 81377, Munich, Germany.
Peter BartensteinDepartment of Nuclear Medicine, Ludwig-Maximilians-University Munich, Marchioninistr. 15, 81377, Munich, Germany.
Christian la FougèreDivision of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Tübingen, Otfried-Müller Str. 14, 72076, Tübingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCurrent guidelines for glioma imaging by positron emission tomography (PET) using the amino acid analogue O-(2-[(18)F]fluoroethyl)-L-tyrosine ((18)F-FET) recommend image acquisition from 20-40 min post injection (p.i.). The maximal tumour-to-background evaluation (TBRmax) obtained in these summation images does not enable reliable differentiation between low and high grade glioma (LGG and HGG), which, however, can be achieved by dynamic (18)F-FET-PET. We investigated the accuracy of tumour grading using TBRmax values at different earlier time points after tracer injection.

methodsThree hundred and fourteen patients with histologically proven primary diagnosis of glioma (131 LGG, 183 HGG) who had undergone 40-min dynamic (18)F-FET-PET scans were retrospectively evaluated. TBRmax was assessed in the standard 20-40 min summation images, as well as in summation images from 0-10 min, 5-15 min, 5-20 min, and 15-30 min p.i., and kinetic analysis was performed. TBRmax values and kinetic analysis were correlated with histological classification. ROC analyses were performed for each time frame and sensitivity, specificity, and accuracy were assessed.

resultsTBRmax values in the earlier summation images were significantly better for tumour grading (P < 0.001) when compared to standard 20-40 min scans, with best results for the early 5-15 min scan. This was due to higher TBRmax in the HGG (3.9 vs. 3.3; p < 0.001), while TBRmax remained nearly stable in the LGG (2.2 vs. 2.1). Overall, accuracy increased from 70 % in the 20-40 min analysis to 77 % in the 5-15 min images, but did not reach the accuracy of dynamic analysis (80 %).

conclusionsEarly TBRmax assessment (5-15 min p.i.) is more accurate for the differentiation between LGG and HGG than the standard static scan (20-40 min p.i.) mainly caused by the characteristic high (18)F-FET uptake of HGG in the initial phase. Therefore, when dynamic (18)F-FET-PET cannot be performed, early TBRmax assessment can be considered as an alternative for tumour grading.

Indexed as

Diagnosis, DifferentialFemaleGliomaHumansKineticsMaleMiddle AgedNeoplasm GradingPositron-Emission TomographyReference StandardsRetrospective StudiesROC CurveTyrosine(18F)fluoroethyltyrosineTyrosine18F-FET-PETGlioma gradingTBRmax

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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.