Evidence map›Paper›PMID 29651546›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2018

Is there an optimal method for measuring baseline metabolic tumor volume in diffuse large B cell lymphoma?

Anne-Ségolène Cottereau, Irene Buvat, Salim Kanoun, Annibale Versari, Olivier Casasnovas, Stephane Chauvie, Jérôme Clerc, Andrea Gallamini, Michel Meignan

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In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

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

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

  1. The prognostic utility ofFrontiers in immunology · 2024
    Pooled it
  2. Validation of an AI Method for Automated Lymphoma Metabolic Tumor Volume Segmentation Using a Public Benchmark PET/CT Dataset.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
    Article
  3. International Benchmark for Total Metabolic Tumor Volume Measurement in BaselineJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Deep-LearningJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Prognostic role of baseline 18F-FDG PET/CT metabolic parameters in Burkitt lymphoma.European journal of nuclear medicine and molecular imaging · 2019
    Article
  14. Could we avoid computing TMTV of DLBCL patients in routine practice?European journal of nuclear medicine and molecular imaging · 2018
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Anne-Ségolène CottereauDepartment of Nuclear Medicine, Cochin Hospital, Assistance Publique Hôpitaux de Paris, Paris Descartes University, 75014, Paris, France. annesegolene.cottereau@aphp.fr.ORCID 0000-0002-4805-4564
Irene BuvatImagerie Moléculaire In Vivo, CEA, Inserm, University Paris Sud, CNRS, Université Paris Saclay, Orsay, France.
Salim KanounNuclear Medicine Department, Institut Claudius Regaud, University Cancer Institute Toulouse Oncopole, Toulouse, France.
Annibale VersariSanta Maria Nuova Hospital-IRCCS Reggio Emilia, Reggio, Italy.
Olivier CasasnovasDepartment of Hematology, University Hospital F. Mitterrand and INSERM 1231, CHU Dijon, Dijon, France.
Stephane ChauvieDepartment of Medical Physics, 'Santa Croce e Carle' Hospital, Cuneo, Italy.
Jérôme ClercDepartment of Nuclear Medicine, Cochin Hospital, Assistance Publique Hôpitaux de Paris, Paris Descartes University, 75014, Paris, France.
Andrea GallaminiResearch, Innovation and Statistics Department, Centre Antoine-Lacassagne, Nice, France.
Michel MeignanLYSA Imaging, Creteil, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Lymphoma, Large B-Cell, DiffuseTumor BurdenHumansTomography, X-Ray Computed

Identifiers

What OpenQuestion holds

Textmetadata
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.