Evidence map›Paper›PMID 31562220›Full record

ArticleJournal of nuclear medicine : official publication, Society of Nuclear Medicine2020

Standardization of Preclinical PET/CT Imaging to Improve Quantitative Accuracy, Precision, and Reproducibility: A Multicenter Study.

Wendy McDougald, Christian Vanhove, Adrienne Lehnert, Barbara Lewellen, John Wright, Marco Mingarelli, Carlos Alcaide Corral, Jurgen E Schneider, Sven Plein, David E Newby and 4 more

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. The Next Frontier in Quantitative Co-Clinical Imaging to Advance Functional Precision Oncology.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  4. Challenges in tracer development for tumor microenvironment (TME) imaging.European journal of nuclear medicine and molecular imaging · 2026
    Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Predictive role of [EJNMMI reports · 2024
    Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Toward Quantitative Multisite Preclinical Imaging Studies in Acute Myocardial Infarction: Evaluation of the Immune-Fibrosis Axis.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024
    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

14 authors at 5 institutions in 3 countries.

Wendy McDougaldBHF-Centre for Cardiovascular Science, College of Medicine & Veterinary Medicine, Queen's Medical Research Institute, University of Edinburgh, United Kingdom s1575538@sms.ed.ac.uk.
Christian VanhoveDepartment of Electronics and Information Systems, MEDISIP, Ghent University, Ghent, Belgium.
Adrienne LehnertDepartment of Radiology, Imaging Research Laboratory, University of Washington, Seattle, Washington.
Barbara LewellenDepartment of Radiology, Imaging Research Laboratory, University of Washington, Seattle, Washington.
John WrightLeeds Institute of Cardiovascular and Metabolic Medicine, Department of Biomedical Imaging Science, LIGHT Laboratories, University of Leeds, Leeds, United Kingdom; and.
Marco MingarelliAberdeen Biomedical Imaging Centre, School of Medicine, Medical Sciences & Nutrition, University of Aberdeen, Aberdeen, United Kingdom.
Carlos Alcaide CorralBHF-Centre for Cardiovascular Science, College of Medicine & Veterinary Medicine, Queen's Medical Research Institute, University of Edinburgh, United Kingdom.
Jurgen E SchneiderLeeds Institute of Cardiovascular and Metabolic Medicine, Department of Biomedical Imaging Science, LIGHT Laboratories, University of Leeds, Leeds, United Kingdom; and.
Sven PleinLeeds Institute of Cardiovascular and Metabolic Medicine, Department of Biomedical Imaging Science, LIGHT Laboratories, University of Leeds, Leeds, United Kingdom; and.
David E NewbyBHF-Centre for Cardiovascular Science, College of Medicine & Veterinary Medicine, Queen's Medical Research Institute, University of Edinburgh, United Kingdom.
Andy WelchAberdeen Biomedical Imaging Centre, School of Medicine, Medical Sciences & Nutrition, University of Aberdeen, Aberdeen, United Kingdom.
Robert MiyaokaDepartment of Radiology, Imaging Research Laboratory, University of Washington, Seattle, Washington.
Stefaan VandenbergheDepartment of Electronics and Information Systems, MEDISIP, Ghent University, Ghent, Belgium.
Adriana Alexandre S TavaresBHF-Centre for Cardiovascular Science, College of Medicine & Veterinary Medicine, Queen's Medical Research Institute, University of Edinburgh, United Kingdom.
University of Edinburgh · GBUniversity of Leeds · GBUniversity of Washington · USGhent University · BEUniversity of Aberdeen · GB

Funding

British Heart Foundation CH/09/002/26360British Heart Foundation RE/13/3/30183British Heart Foundation RG/16/10/32375Medical Research Council G0701127National Centre for the Replacement, Refinement and Reduction of Animals in Research NC/P00170X/1
6 · The paper itself

Abstract

Preclinical PET/CT is a well-established noninvasive imaging tool for studying disease development/progression and the development of novel radiotracers and pharmaceuticals for clinical applications. Despite this pivotal role, standardization of preclinical PET/CT protocols, including CT absorbed dose guidelines, is essentially nonexistent. This study (1) quantitatively assesses the variability of current preclinical PET/CT acquisition and reconstruction protocols routinely used across multiple centers and scanners; and (2) proposes acquisition and reconstruction PET/CT protocols for standardization of multicenter data, optimized for routine scanning in the preclinical PET/CT laboratory.

Indexed as

AnimalsImage Processing, Computer-AssistedMicePhantoms, ImagingPositron Emission Tomography Computed TomographyQuality ControlRadiation DosageRatsReference StandardsReproducibility of ResultsSensitivity and Specificityabsorbed doseHounsfield unitspreclinical PET/CTrecovery coefficientstandardization

Identifiers

PMID31562220
PMCPMC7067528
OpenAlexW2970773226

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.