Evidence map›Paper›PMID 28971332›Full record

ReviewMolecular imaging and biology2018

Standardization of Small Animal Imaging-Current Status and Future Prospects.

Julia G Mannheim, Firat Kara, Janine Doorduin, Kerstin Fuchs, Gerald Reischl, Sayuan Liang, Marleen Verhoye, Felix Gremse, Laura Mezzanotte, Marc C Huisman

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular imaging and biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

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

  1. Pooled it
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  11. Metabolic Differences in Neuroimaging with [Tomography (Ann Arbor, Mich.) · 2025
    Article
  12. Review
  13. Automated quality control of small animal MR neuroimaging data.Imaging neuroscience (Cambridge, Mass.) · 2024
    Article
  14. Article
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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

10 authors.

Julia G MannheimWerner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tuebingen, Roentgenweg 13, 72076, Tuebingen, Germany. julia.mannheim@med.uni-tuebingen.de.
Firat KaraBio-Imaging Lab, University of Antwerp, Antwerp, Belgium.
Janine DoorduinDepartment of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Kerstin FuchsWerner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tuebingen, Roentgenweg 13, 72076, Tuebingen, Germany.
Gerald ReischlWerner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tuebingen, Roentgenweg 13, 72076, Tuebingen, Germany.
Sayuan LiangBio-Imaging Lab, University of Antwerp, Antwerp, Belgium.
Marleen VerhoyeBio-Imaging Lab, University of Antwerp, Antwerp, Belgium.
Felix GremseInstitute for Experimental Molecular Imaging, RWTH Aachen University Clinic, Aachen, Germany.
Laura MezzanotteOptical Molecular Imaging, Department of Radiology, Erasmus Medical Center, Rotterdam, The Netherlands.
Marc C HuismanDepartment of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The benefit of small animal imaging is directly linked to the validity and reliability of the collected data. If the data (regardless of the modality used) are not reproducible and/or reliable, then the outcome of the data is rather questionable. Therefore, standardization of the use of small animal imaging equipment, as well as of animal handling in general, is of paramount importance. In a recent paper, guidance for efficient small animal imaging quality control was offered and discussed, among others, the use of phantoms in setting up a quality control program (Osborne et al. 2016). The same phantoms can be used to standardize image quality parameters for multi-center studies or multi-scanners within center studies. In animal experiments, the additional complexity due to animal handling needs to be addressed to ensure standardized imaging procedures. In this review, we will address the current status of standardization in preclinical imaging, as well as potential benefits from increased levels of standardization.

Indexed as

AnimalsDiagnostic ImagingHumansImage Processing, Computer-AssistedPhantoms, ImagingReference StandardsAnimal handlingCTMRIOIPETReliabilityReproducibilitySmall animal imagingSPECTStandardization

Identifiers

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.