Evidence map›Paper›PMID 28798032›Full record

Trial reportJournal of nuclear medicine : official publication, Society of Nuclear Medicine2018

Improved Estrogen Receptor Assessment by PET Using the Novel Radiotracer

Michel Paquette, Éric Lavallée, Serge Phoenix, René Ouellet, Helena Senta, Johan E van Lier, Brigitte Guérin, Roger Lecomte, Éric E Turcotte

Open access · bronzeAbstract readClinical Trial, Phase II
In one paragraph

Trial report in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
3.2field-weighted citation impact, top 8% 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Dynamic whole-body [EJNMMI research · 2024
    Article
  10. Article
  11. Review
  12. Review
  13. PET Imaging of Estrogen Receptors UsingMethods in molecular biology (Clifton, N.J.) · 2022
    Article
  14. Article
  15. ZR-75-1 breast cancer models to study the utility ofTranslational cancer research · 2021
    Article
  16. Review
  17. Article
  18. Human biodistribution and radiation dosimetry of [European journal of nuclear medicine and molecular imaging · 2020
    Article
  19. Article
  20. 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

9 authors at 1 institution in 1 country.

Michel PaquetteSherbrooke Molecular Imaging Center, Research Center of the Sherbrooke University Hospital (CRCHUS), and Department of Nuclear Medicine and Radiobiology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada.
Éric LavalléeSherbrooke Molecular Imaging Center, Research Center of the Sherbrooke University Hospital (CRCHUS), and Department of Nuclear Medicine and Radiobiology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada.
Serge PhoenixSherbrooke Molecular Imaging Center, Research Center of the Sherbrooke University Hospital (CRCHUS), and Department of Nuclear Medicine and Radiobiology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada.
René OuelletSherbrooke Molecular Imaging Center, Research Center of the Sherbrooke University Hospital (CRCHUS), and Department of Nuclear Medicine and Radiobiology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada.
Helena SentaSherbrooke Molecular Imaging Center, Research Center of the Sherbrooke University Hospital (CRCHUS), and Department of Nuclear Medicine and Radiobiology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada.
Johan E van LierSherbrooke Molecular Imaging Center, Research Center of the Sherbrooke University Hospital (CRCHUS), and Department of Nuclear Medicine and Radiobiology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada.
Brigitte GuérinSherbrooke Molecular Imaging Center, Research Center of the Sherbrooke University Hospital (CRCHUS), and Department of Nuclear Medicine and Radiobiology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada.
Roger LecomteSherbrooke Molecular Imaging Center, Research Center of the Sherbrooke University Hospital (CRCHUS), and Department of Nuclear Medicine and Radiobiology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada.
Éric E TurcotteSherbrooke Molecular Imaging Center, Research Center of the Sherbrooke University Hospital (CRCHUS), and Department of Nuclear Medicine and Radiobiology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada eric.e.turcotte@usherbrooke.ca.
Université de Sherbrooke · CA

Funding

Ultra High Resolution Brain PET Scanner for in-vivo Autoradiography ImagingU01EB027003 · NIBIB · YALE UNIVERSITY · PI EL FAKHRI, GEORGES, FONTAINE, RÉJEAN · 2018 to 2022
$4.6M
NIBIB NIH HHS U01 EB027003
6 · The paper itself

Abstract

After encouraging preclinical and human dosimetry results for the novel estrogen receptor (ER) PET radiotracer 4-fluoro-11β-methoxy-16α-

Indexed as

AdultAgedBiological TransportBreast NeoplasmsEstradiolFemaleHumansImage Processing, Computer-AssistedMiddle AgedRadioactive TracersReceptors, Estrogen11-methoxy-4,16-difluoroestradiolEstradiolRadioactive TracersReceptors, Estrogen18F-4FMFES18F-FESbreast cancerER+receptor PET imaging

Identifiers

PMID28798032
PMCPMC6910621
OpenAlexW2744800683

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.