Evidence map›Paper›PMID 31480470›Full record

ReviewCancers2019

Exploring Tumor Heterogeneity Using PET Imaging: The Big Picture.

Clément Bailly, Caroline Bodet-Milin, Mickaël Bourgeois, Sébastien Gouard, Catherine Ansquer, Matthieu Barbaud, Jean-Charles Sébille, Michel Chérel, Françoise Kraeber-Bodéré, Thomas Carlier

Abstract readReview
In one paragraph

Review in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

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

  1. Quantitative PSMA PET Biomarkers for Predicting Response toJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
    Pooled it
  2. Trial
  3. Article
  4. Article
  5. [Molecular cancer · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. [Immunotherapy advances · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. PrognosticDiagnostics (Basel, Switzerland) · 2023
    Article
  18. Article
  19. Article
  20. 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.

Clément BaillyCRCINA, INSERM, CNRS, Université d'Angers, Université de Nantes, 44093 Nantes, France.ORCID 0000-0001-8313-3287
Caroline Bodet-MilinCRCINA, INSERM, CNRS, Université d'Angers, Université de Nantes, 44093 Nantes, France.
Mickaël BourgeoisCRCINA, INSERM, CNRS, Université d'Angers, Université de Nantes, 44093 Nantes, France.
Sébastien GouardCRCINA, INSERM, CNRS, Université d'Angers, Université de Nantes, 44093 Nantes, France.
Catherine AnsquerNuclear Medicine Department, University Hospital, 44093 Nantes, France.
Matthieu BarbaudNuclear Medicine Department, University Hospital, 44093 Nantes, France.
Jean-Charles SébilleNuclear Medicine Department, University Hospital, 44093 Nantes, France.
Michel ChérelCRCINA, INSERM, CNRS, Université d'Angers, Université de Nantes, 44093 Nantes, France.
Françoise Kraeber-BodéréCRCINA, INSERM, CNRS, Université d'Angers, Université de Nantes, 44093 Nantes, France.
Thomas CarlierCRCINA, INSERM, CNRS, Université d'Angers, Université de Nantes, 44093 Nantes, France. thomas.carlier@chu-nantes.fr.ORCID 0000-0002-6932-7322

Funding

Agence Nationale de la Recherche ANR-11-EQPX-0004Agence Nationale de la Recherche ANR-11-LABX-0016-01Agence Nationale de la Recherche ANR-11-LABX-0018-01Agence Nationale de la Recherche ANR-16-IDEX-0007
6 · The paper itself

Abstract

Personalized medicine represents a major goal in oncology. It has its underpinning in the identification of biomarkers with diagnostic, prognostic, or predictive values. Nowadays, the concept of biomarker no longer necessarily corresponds to biological characteristics measured ex vivo but includes complex physiological characteristics acquired by different technologies. Positron-emission-tomography (PET) imaging is an integral part of this approach by enabling the fine characterization of tumor heterogeneity in vivo in a non-invasive way. It can effectively be assessed by exploring the heterogeneous distribution and uptake of a tracer such as 18F-fluoro-deoxyglucose (FDG) or by using multiple radiopharmaceuticals, each providing different information. These two approaches represent two avenues of development for the research of new biomarkers in oncology. In this article, we review the existing evidence that the measurement of tumor heterogeneity with PET imaging provide essential information in clinical practice for treatment decision-making strategy, to better select patients with poor prognosis for more intensive therapy or those eligible for targeted therapy.

Indexed as

heterogeneitynuclear medicinePETradiomicsradiopharmaceuticalsSUV

Identifiers

PMID31480470
PMCPMC6770004

What OpenQuestion holds

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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.