Evidence map›Paper›PMID 25693667›Full record

ArticleEuropean radiology2015

Evaluation of several FDG PET parameters for prediction of soft tissue tumour grade at primary diagnosis and recurrence.

Wolfgang P Fendler, Rebecca P Chalkidis, Harun Ilhan, Thomas Knösel, Ken Herrmann, Rolf D Issels, Peter Bartenstein, Clemens C Cyran, Lars H Lindner, Marcus Hacker

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in European radiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

  1. Pooled it
  2. [Positron emission tomography in sarcomas].Radiologie (Heidelberg, Germany) · 2026
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  3. Advances inWorld journal of radiology · 2025
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  6. Correlation betweenQuantitative imaging in medicine and surgery · 2023
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  7. Clinical Perspectives forMetabolites · 2022
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  8. Article
  9. Imaging update on soft tissue sarcoma.Journal of clinical orthopaedics and trauma · 2021
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  10. Risk Stratification UsingDiagnostics (Basel, Switzerland) · 2021
    Article
  11. Review
  12. Radiomics in Oncological PET/CT: Clinical Applications.Nuclear medicine and molecular imaging · 2018
    Review
  13. Pretreatment tumor SUVEuropean journal of nuclear medicine and molecular imaging · 2017
    Article
  14. The predictive value of preoperativeEuropean radiology · 2016
    Article
  15. 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

10 authors.

Wolfgang P FendlerDepartment of Nuclear Medicine, Ludwig-Maximilians-University of Munich, Munich, Germany, wolfgang.fendler@med.uni-muenchen.de.
Rebecca P Chalkidis
Harun Ilhan
Thomas Knösel
Ken Herrmann
Rolf D Issels
Peter Bartenstein
Clemens C Cyran
Lars H Lindner
Marcus Hacker

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study evaluates the diagnostic accuracy of SUV-based parameters derived from [(18) F]-2-fluoro-2-deoxy-D-glucose positron emission tomography (FDG-PET) in order to optimize non-invasive prediction of soft tissue tumour (STT) grade.

methodsOne hundred and twenty-nine lesions from 123 patients who underwent FDG-PET for primary staging (n = 79) or assessment of recurrence (n = 44) of STT were analyzed retrospectively. Histopathology was the reference standard for tumour grading. Absolute values and tumour-to-liver ratios of several standardized uptake value (SUV) parameters were correlated with tumour grading.

resultsAt primary diagnosis SUVmax, SUVpeak, SUVmax/SUVliver and SUVpeak/SUVliver showed good correlation with tumour grade. SUVpeak (area under the receiver-operating-characteristic, AUC-ROC: 0.82) and SUVpeak/SUVliver (AUC-ROC: 0.82) separated best between low grade (WHO intermediate, grade 1 sarcoma, and low risk gastrointestinal stromal tumours, GISTs) and high grade (grade 2/3 sarcoma and intermediate/high risk GISTs) lesions: optimal threshold for SUVpeak/SUVliver was 2.4, which resulted in a sensitivity of 79 % and a specificity of 81 %. At disease recurrence, the AUC-ROC was <0.75 for each parameter.

conclusionsA tumour SUVpeak of at least 2.4 fold mean liver uptake predicts high grade histopathology with good diagnostic accuracy at primary staging. At disease recurrence, FDG-PET does not reliably separate high and low grade lesions. KEY POINTS: • Several SUV parameters accurately predict soft tissue sarcoma grade at primary diagnosis. • Tumour-to-liver ratios are of comparable value to absolute SUV parameters. • SUV peak /SUV liver >2.4 had 79 % sensitivity and 81 % specificity for high grade lesions. • At recurrence, FDG PET does not reliably indicate high grade sarcomas.

Indexed as

Fluorodeoxyglucose F18RadiopharmaceuticalsFemaleHumansLiverMaleMiddle AgedNeoplasm GradingNeoplasm Recurrence, LocalPositron-Emission TomographyRetrospective StudiesROC CurveSarcomaSensitivity and SpecificitySoft Tissue NeoplasmsFluorodeoxyglucose F18Radiopharmaceuticals

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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.