Evidence map›Paper›PMID 21057787›Full record

Trial reportEuropean journal of nuclear medicine and molecular imaging2011

Correlation of high 18F-FDG uptake to clinical, pathological and biological prognostic factors in breast cancer.

David Groheux, Sylvie Giacchetti, Jean-Luc Moretti, Raphael Porcher, Marc Espié, Jacqueline Lehmann-Che, Anne de Roquancourt, Anne-Sophie Hamy, Caroline Cuvier, Laetitia Vercellino and 1 more

Abstract readClinical Trial
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In one paragraph

Trial report in European journal of nuclear medicine and molecular imaging, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 167 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
167citing 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

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

  1. Joint EANM-SNMMI guideline on the role of 2-[European journal of nuclear medicine and molecular imaging · 2024
    Guideline
  2. Prospective study onBritish journal of cancer · 2026
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  3. Clinicopathological and molecular predictors of [European journal of nuclear medicine and molecular imaging · 2024
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  4. Early metabolic response of breast cancer to neoadjuvant endocrine therapy: comparison to morphological and pathological response.Cancer imaging : the official publication of the International Cancer Imaging Society · 2020
    Trial
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  10. The Role ofMolecular imaging and radionuclide therapy · 2026
    Article
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  12. Diagnostic value of [Scientific reports · 2026
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  17. Comparative evaluation of [European journal of nuclear medicine and molecular imaging · 2026
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  18. Comparison between [EJNMMI research · 2026
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  20. Review

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

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.

David GroheuxDepartment of Nuclear Medicine, Saint-Louis Hospital, Assistance publique Hôpitaux de Paris, Paris, France. dgroheux@yahoo.fr
Sylvie Giacchetti
Jean-Luc Moretti
Raphael Porcher
Marc Espié
Jacqueline Lehmann-Che
Anne de Roquancourt
Anne-Sophie Hamy
Caroline Cuvier
Laetitia Vercellino
Elif Hindié

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study was to determine the impact of the main clinicopathological and biological prognostic factors of breast cancer on (18)F-fluorodeoxyglucose (FDG) uptake. Only women with tumours larger than 20 mm (T2-T4) were included in order to minimize bias of partial volume effect.

methodsIn this prospective study, 132 consecutive women received FDG PET/CT imaging before starting neoadjuvant chemotherapy. Maximum standardized uptake values (SUV(max)) were compared to tumour characteristics as assessed on core biopsy.

resultsThere was no influence of T and N stage on SUV. Invasive ductal carcinoma showed higher SUV than lobular carcinoma. However, the highest uptake was found for metaplastic tumours, representing 5% of patients in this series. Several biological features usually considered as bad prognostic factors were associated with an increase in FDG uptake: the median of SUV(max) was 9.7 for grade 3 tumours vs 4.8 for the lower grades (p < 0.0001); negativity for oestrogen receptors (ER) was associated with higher SUV (ER+ SUV = 5.5; ER- SUV = 7.6; p = 0.003); triple-negative tumours (oestrogen and progesterone receptor negative, no overexpression of c-erbB-2) had an SUV of 9.2 vs 5.8 for all others (p = 0005); p53 mutated tumours also had significantly higher SUV (7.8 vs 5.0; p < 0.0001). Overexpression of c-erbB-2 had no effect on the SUV value.

conclusionKnowledge of the factors influencing uptake is important when interpreting FDG PET/CT scans. Also, findings that FDG uptake is highest in those patients with poor prognostic features (high grade, hormone receptor negativity, triple negativity, metaplastic tumours) is helpful to determine who are the best candidates for baseline staging.

Indexed as

AdultAgedAged, 80 and overBiological TransportBreast NeoplasmsFemaleFluorodeoxyglucose F18HumansMiddle AgedPrognosisRadionuclide ImagingTumor BurdenTumor Suppressor Protein p53Fluorodeoxyglucose F18Tumor Suppressor Protein p53

Identifiers

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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.