Evidence map›Paper›PMID 28547129›Full record

ArticleEJNMMI research2017

Quantitative analysis of dynamic

Christopher Coello, Marie Fisk, Divya Mohan, Frederick J Wilson, Andrew P Brown, Michael I Polkey, Ian Wilkinson, Ruth Tal-Singer, Philip S Murphy, Joseph Cheriyan and 1 more

Open access · goldAbstract read
In one paragraph

Article in EJNMMI research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
3.1field-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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. First Total-Body Kinetics Study ofJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
    Article
  4. HighERJ open research · 2026
    Article
  5. Article
  6. Dynamic 18 F-FDG PET to detect differences among patients with progressive and relapsing multiple sclerosis: a pilot study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Article
  7. Prognostic value of [Scientific reports · 2025
    Article
  8. Application of Dynamic [Molecular imaging and biology · 2024
    Article
  9. High-Temporal-Resolution Kinetic Modeling of Lung Tumors with Dual-Blood Input Function Using Total-Body Dynamic PET.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024
    Article
  10. Article
  11. Quantitation of dynamic total-body PET imaging: recent developments and future perspectives.European journal of nuclear medicine and molecular imaging · 2023
    Review
  12. High-Temporal-Resolution Lung Kinetic Modeling Using Total-Body Dynamic PET with Time-Delay and Dispersion Corrections.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2023
    Article
  13. Diagnostic Performance of Dynamic Whole-Body Patlak [Journal of clinical medicine · 2023
    Article
  14. First results on kinetic modelling and parametric imaging of dynamicEuropean journal of nuclear medicine and molecular imaging · 2022
    Article
  15. Review
  16. Article
  17. QuantitativeERJ open research · 2021
    Article
  18. Is Patlak y-intercept a relevant metrics?European journal of nuclear medicine and molecular imaging · 2021
    Article
  19. Review
  20. Consensus Recommendations on the Use ofJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2020
    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

11 authors at 4 institutions in 1 country.

Christopher CoelloImanova Ltd., Centre for Imaging Sciences, Hammersmith Hospital, London, UK. christopher.coello@gmail.com.ORCID http://orcid.org/0000-0002-0647-9089
Marie FiskExperimental Medicine and Immunotherapeutics (EMIT) Division, Department of Medicine, University of Cambridge, Cambridge, UK.
Divya MohanNIHR Respiratory Biomedical Research Unit at the Royal Brompton and Harefield NHS Foundation Trust and Imperial College, London, UK.
Frederick J WilsonGSK R&D, Stevenage, UK.
Andrew P BrownImanova Ltd., Centre for Imaging Sciences, Hammersmith Hospital, London, UK.
Michael I PolkeyNIHR Respiratory Biomedical Research Unit at the Royal Brompton and Harefield NHS Foundation Trust and Imperial College, London, UK.
Ian WilkinsonExperimental Medicine and Immunotherapeutics (EMIT) Division, Department of Medicine, University of Cambridge, Cambridge, UK.
Ruth Tal-SingerGSK R&D, King of Prussia, PA, USA.
Philip S MurphyGSK R&D, Stevenage, UK.
Joseph CheriyanExperimental Medicine and Immunotherapeutics (EMIT) Division, Department of Medicine, University of Cambridge, Cambridge, UK.
Roger N GunnImanova Ltd., Centre for Imaging Sciences, Hammersmith Hospital, London, UK.
Hammersmith Hospital · GBUniversity of Cambridge · GBAge UK · GBRoyal Brompton & Harefield NHS Foundation Trust · GB

Funding

British Heart Foundation FS/07/001/21990British Heart Foundation FS/12/33/29561British Heart Foundation FS/12/8/29377
6 · The paper itself

Abstract

backgroundAn inflammatory reaction in the airways and lung parenchyma, comprised mainly of neutrophils and alveolar macrophages, is present in some patients with chronic obstructive pulmonary disease (COPD). Thoracic fluorodeoxyglucose (

resultsThe qABL method detected no difference (Hedge's g = 0.15 [-0.76 1.04]) in the tissue metabolic rate of FDG in the whole lung between HV (μ = 6.0 ± 1.9 × 10

conclusionsWe have introduced a quantitative analysis method that provides a direct estimate of the metabolic rate of FDG in lung tissue. This work provides further understanding of the underlying origin of the

Indexed as

18F-FDGCOPDLung inflammationModellingPET

Identifiers

PMID28547129
PMCPMC5445063
OpenAlexW2618169103

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.