Evidence map›Paper›PMID 23564036›Full record

Trial reportEuropean journal of nuclear medicine and molecular imaging2013

Harmonizing SUVs in multicentre trials when using different generation PET systems: prospective validation in non-small cell lung cancer patients.

Charline Lasnon, Cédric Desmonts, Elske Quak, Radj Gervais, Pascal Do, Catherine Dubos-Arvis, Nicolas Aide

Open access · hybridAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in European journal of nuclear medicine and molecular imaging, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 4 pooled it
9.0field-weighted citation impact, top 2% 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.

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

71 citing papers in PubMed, 4 syntheses or guidelines pooled it, 125 citations in OpenAlex.

  1. The [European journal of nuclear medicine and molecular imaging · 2026
    Pooled it
  2. Prognostic value ofEuropean radiology · 2021
    Pooled it
  3. Pooled it
  4. FDG PET/CT: EANM procedure guidelines for tumour imaging: version 2.0.European journal of nuclear medicine and molecular imaging · 2015
    Guideline
  5. Article
  6. Article
  7. A Virtual Clinical Trial to Detect Changes in Tumor Uptake with PET using Lesion Embedding.IEEE transactions on radiation and plasma medical sciences · 2026
    Article
  8. Article
  9. Article
  10. Improvement of image quality for small lesion sizes inAsia Oceania journal of nuclear medicine & biology · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Prognostic significance of pretreatmentBreast cancer research and treatment · 2023
    Article
  16. Multicenter quantitativeQuantitative imaging in medicine and surgery · 2023
    Article
  17. Article
  18. Review
  19. Article
  20. Association between tumorScientific reports · 2022
    Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Charline LasnonNuclear Medicine Department, François Baclesse Cancer Centre, Caen, France.
Cédric Desmonts
Elske Quak
Radj Gervais
Pascal Do
Catherine Dubos-Arvis
Nicolas Aide
Centre François Baclesse · FRUniversité de Caen Normandie · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe prospectively evaluated whether a strategy using point spread function (PSF) reconstruction for both diagnostic and quantitative analysis in non-small cell lung cancer (NSCLC) patients meets the European Association of Nuclear Medicine (EANM) guidelines for harmonization of quantitative values.

methodsThe NEMA NU-2 phantom was used to determine the optimal filter to apply to PSF-reconstructed images in order to obtain recovery coefficients (RCs) fulfilling the EANM guidelines for tumour positron emission tomography (PET) imaging (PSF(EANM)). PET data of 52 consecutive NSCLC patients were reconstructed with unfiltered PSF reconstruction (PSF(allpass)), PSF(EANM) and with a conventional ordered subset expectation maximization (OSEM) algorithm known to meet EANM guidelines. To mimic a situation in which a patient would undergo pre- and post-therapy PET scans on different generation PET systems, standardized uptake values (SUVs) for OSEM reconstruction were compared to SUVs for PSF(EANM) and PSF(allpass) reconstruction.

resultsOverall, in 195 lesions, Bland-Altman analysis demonstrated that the mean ratio between PSF(EANM) and OSEM data was 1.03 [95% confidence interval (CI) 0.94-1.12] and 1.02 (95% CI 0.90-1.14) for SUV(max) and SUV(mean), respectively. No difference was noticed when analysing lesions based on their size and location or on patient body habitus and image noise. Ten patients (84 lesions) underwent two PET scans for response monitoring. Using the European Organization for Research and Treatment of Cancer (EORTC) criteria, there was an almost perfect agreement between OSEM(PET1)/OSEM(PET2) (current standard) and OSEM(PET1)/PSF(EANM-PET2) or PSF(EANM-PET1)/OSEM(PET2) with kappa values of 0.95 (95% CI 0.91-1.00) and 0.99 (95% CI 0.96-1.00), respectively. The use of PSF(allpass) either for pre- or post-treatment (i.e. OSEM(PET1)/PSF(allpass-PET2) or PSF(allpass-PET1)/OSEM(PET2)) showed considerably less agreement with kappa values of 0.75 (95% CI 0.67-0.83) and 0.86 (95% CI 0.78-0.94), respectively.

conclusionProtocol-optimized images and compliance with EANM guidelines allowed for a reliable pre- and post-therapy evaluation when using different generation PET systems. These data obtained in NSCLC patients could be extrapolated to other solid tumours.

Indexed as

AgedAged, 80 and overBiological TransportCarcinoma, Non-Small-Cell LungFemaleHumansImage Processing, Computer-AssistedLung NeoplasmsMaleMiddle AgedPhantoms, ImagingPositron-Emission TomographyProspective StudiesReference StandardsReproducibility of ResultsTreatment Outcome

Identifiers

PMID23564036
PMCPMC3679414
OpenAlexW2095517319

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.