Evidence map›Paper›PMID 33530590›Full record

ArticleMetabolites2021

Reproducibility of Baseline Tumour Metabolic Volume Measurements in Diffuse Large B-Cell LymphomA: Is There a Superior Method?

Florian Eude, Mathieu Nessim Toledano, Pierre Vera, Hervé Tilly, Sorina-Dana Mihailescu, Stéphanie Becker

Abstract read
In one paragraph

Article in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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

14 citing papers in PubMed.

  1. Whole-body CD8Nature communications · 2025
    Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Semi-automatedComputational and structural biotechnology journal · 2023
    Article
  8. Reproducibility of [18F]FDG PET/CT liver SUV as reference or normalisation factor.European journal of nuclear medicine and molecular imaging · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Prognostic Value ofMetabolites · 2021
    Article
  13. Review
  14. 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

6 authors.

Florian EudeNuclear Medicine Department, Henri Becquerel Cancer Centre, 76038 Rouen, France.ORCID 0000-0001-9787-6460
Mathieu Nessim ToledanoNuclear Medicine Department, Henri Becquerel Cancer Centre, 76038 Rouen, France.
Pierre VeraNuclear Medicine Department, Henri Becquerel Cancer Centre, 76038 Rouen, France.
Hervé TillyHematology Department, Henri Becquerel Cancer Centre, 76038 Rouen, France.
Sorina-Dana MihailescuDepartment of Statistics and Clinical Research Unit, Henri Becquerel Cancer Centre, 76038 Rouen, France.
Stéphanie BeckerNuclear Medicine Department, Henri Becquerel Cancer Centre, 76038 Rouen, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The metabolic tumour volume (MTV) is an independent prognostic indicator in diffuse large B-cell lymphoma (DLBCL). However, its measurement is not standardised and is subject to wide variations depending on the method used. This study aimed to compare the reproducibility of MTV measurement as well as the thresholds obtained for each method and their prognostic values. The baseline MTV was measured in 239 consecutive patients treated at Henri Becquerel Centre by two blinded evaluators. Eight methods were compared: 3 absolute (SUV (standardised uptake value) ≥ 2.5; SUV≥ liver SUVmax; SUV≥ PERCIST SUV), 1 percentage SUV threshold method (SUV ≥ 41% SUVmax) and 4 adaptive methods (Daisne, Nestle, Fitting, Black). The intraclass correlation coefficients were excellent, from 0.91 to 0.96, for the absolute SUV methods, Black and Nestle methods, and good for 41% SUVmax, Fitting and Daisne methods (0.82 to 0.88), with a significantly lower variability with absolute methods compared to 41% SUVmax (

Indexed as

large B-Cell lymphomametabolic tumour volumepositron-emission tomographysegmentation

Identifiers

PMID33530590
PMCPMC7911393

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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.