Evidence map›Paper›PMID 30574662›Full record

ArticleEJNMMI research2018

Cherenkov luminescence imaging is a fast and relevant preclinical tool to assess tumour hypoxia in vivo.

Emiko Desvaux, Alan Courteau, Pierre-Simon Bellaye, Mélanie Guillemin, Camille Drouet, Paul Walker, Bertrand Collin, Richard A Decréau

Open access · goldAbstract read
In one paragraph

Article in EJNMMI research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Review
  3. [European journal of nuclear medicine and molecular imaging · 2021
    Article
  4. Article
  5. Review
  6. Article
  7. Review
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

8 authors at 4 institutions in 1 country.

Emiko DesvauxCentre George François Leclerc (CGFL), 1 rue du Professeur Marion, 21079, Dijon, France.
Alan CourteauCentre George François Leclerc (CGFL), 1 rue du Professeur Marion, 21079, Dijon, France.
Pierre-Simon BellayeCentre George François Leclerc (CGFL), 1 rue du Professeur Marion, 21079, Dijon, France.
Mélanie GuilleminCentre George François Leclerc (CGFL), 1 rue du Professeur Marion, 21079, Dijon, France.
Camille DrouetCentre George François Leclerc (CGFL), 1 rue du Professeur Marion, 21079, Dijon, France.
Paul WalkerUniversité Bourgogne Franche Comté, CNRS, Laboratoire Electronique Informatique & Image (Le2i), UMR, 6306, Dijon, France.
Bertrand CollinCentre George François Leclerc (CGFL), 1 rue du Professeur Marion, 21079, Dijon, France.
Richard A DecréauInstitut de Chimie Moléculaire de l'Université de Bourgogne (ICMUB), 9 Avenue Alain Savary, 21078, Dijon, France. Richard.Decreau@u-bourgogne.fr.
Centre Georges François Leclerc · FRInstitut de Chimie Moléculaire de l'Université de BourgogneUniversité Bourgogne Franche-Comté · FRUniversité de Bourgogne · FR

Funding

Agence Nationale de la Recherche ANR-10-EQPX-05-01/IMAPPI EquipexCanceropôle Est (FR) 1111Centre National de la Recherche Scientifique 1111Conseil Régional de Bourgogne 1111Cyclopharma 1111Fond Européen de Développement Régional (FEDER) PO FEDER-FSE Bourgogne 2014/2020 ProgramsUniversity of Burgundy 3MIM and PARI2 Programs (PHARMACOIMAGERIE ET AGENTS THERANOSTIQUES)
6 · The paper itself

Abstract

purposeMolecular imaging techniques visualise biomarkers for both drug development and personalised medicine. In this field, Cherenkov luminescence imaging (CLI) seems to be very attractive by allowing imaging with clinical PET radiotracers with high-throughput capabilities. In this context, we developed a fast CLI method to detect tumour hypoxia with

methodsColon cancer model was induced in mice by subcutaneous injection of 1 × 10

resultsThere was a significant correlation between FMISO PET and CLI tumour uptakes, consistent with the BOLD-MRI mapping. Tumour-to-background ratio was significantly higher for CLI compared with PET and MRI. Immunohistochemistry confirmed tumour hypoxia. The imaging workflow with CLI was about eight times faster than the PET-MRI procedure.

conclusionCLI is a fast and relevant tool to assess tumour hypoxia. This approach could be particularly interesting for hypoxia-targeting drug development.

Indexed as

18F-Fluoromisonidazole (FMISO)BOLDCherenkov luminescence imaging (CLI)Colon cancerHypoxiaMagnetic resonance imagingPositron emission tomography (PET)

Identifiers

PMID30574662
PMCPMC6301908
OpenAlexW2904886529

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.