Evidence map›Paper›PMID 36482032›Full record

ArticleMolecular imaging and biology2023

Community Survey Results Show that Standardisation of Preclinical Imaging Techniques Remains a Challenge.

Adriana A S Tavares, Laura Mezzanotte, Wendy McDougald, Monique R Bernsen, Christian Vanhove, Markus Aswendt, Giovanna D Ielacqua, Felix Gremse, Carmel M Moran, Geoff Warnock and 2 more

Abstract read
In one paragraph

Article in Molecular imaging and biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Automated quality control of small animal MR neuroimaging data.Imaging neuroscience (Cambridge, Mass.) · 2024
    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

12 authors.

Adriana A S TavaresBHF-University Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK. adriana.tavares@ed.ac.uk.
Laura MezzanotteDepartment of Radiology and Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
Wendy McDougaldBHF-University Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
Monique R BernsenAMIE Core Facility, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
Christian VanhoveFaculty of Engineering and Architecture, Department of Electronics and Information Systems, Ghent University, Ghent, Belgium.
Markus AswendtFaculty of Medicine, Dept. of Neurology, University of Cologne, and University Hospital Cologne, Cologne, Germany.
Giovanna D IelacquaMax-Delbrück Center for Molecular Medicine, in the Helmholtz Association, Berlin, Germany.
Felix GremseGremse-IT GmbH, Aachen, Germany.
Carmel M MoranBHF-University Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
Geoff WarnockUniversity of Zurich, Zurich, Switzerland.
Claudia KuntnerDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Marc C HuismanDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.

Funding

National Centre for the Replacement, Refinement and Reduction of Animals in Research NC/P00170X/1
6 · The paper itself

Abstract

purposeTo support acquisition of accurate, reproducible and high-quality preclinical imaging data, various standardisation resources have been developed over the years. However, it is unclear the impact of those efforts in current preclinical imaging practices. To better understand the status quo in the field of preclinical imaging standardisation, the STANDARD group of the European Society of Molecular Imaging (ESMI) put together a community survey and a forum for discussion at the European Molecular Imaging Meeting (EMIM) 2022. This paper reports on the results from the STANDARD survey and the forum discussions that took place at EMIM2022. PROCEDURES: The survey was delivered to the community by the ESMI office and was promoted through the Society channels, email lists and webpages. The survey contained seven sections organised as generic questions and imaging modality-specific questions. The generic questions focused on issues regarding data acquisition, data processing, data storage, publishing and community awareness of international guidelines for animal research. Specific questions on practices in optical imaging, PET, CT, SPECT, MRI and ultrasound were further included.

resultsData from the STANDARD survey showed that 47% of survey participants do not have or do not know if they have QC/QA guidelines at their institutes. Additionally, a large variability exists in the ways data are acquired, processed and reported regarding general aspects as well as modality-specific aspects. Moreover, there is limited awareness of the existence of international guidelines on preclinical (imaging) research practices.

conclusionsStandardisation of preclinical imaging techniques remains a challenge and hinders the transformative potential of preclinical imaging to augment biomedical research pipelines by serving as an easy vehicle for translation of research findings to the clinic. Data collected in this project show that there is a need to promote and disseminate already available tools to standardise preclinical imaging practices.

Indexed as

Biomedical ResearchAnimalsMagnetic Resonance ImagingReference StandardsSurveys and QuestionnairesUltrasonographyCommunityCTMRIOpticalPETPreclinical imagingSPECTStandardisationUltrasound

Identifiers

PMID36482032
PMCPMC10172263

What OpenQuestion holds

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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.