Evidence map›Paper›PMID 35122556›Full record

ArticleEJNMMI physics2022

Performance evaluation of the IRIS XL-220 PET/CT system, a new camera dedicated to non-human primates.

Frédéric Boisson, Sophie Serriere, Liji Cao, Sylvie Bodard, Alessandro Pilleri, Lionel Thomas, Giancarlo Sportelli, Johnny Vercouillie, Patrick Emond, Clovis Tauber and 4 more

Open access · goldAbstract read
In one paragraph

Article in EJNMMI physics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 48% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

14 authors at 3 institutions in 2 countries.

Frédéric BoissonInstitut Pluridisciplinaire Hubert Curien, Université de Strasbourg, 23 rue du Loess, 67037, Strasbourg, France.
Sophie SerriereUMR 1253, IBrain, Équipe Imagerie, Biomarqueurs et Thérapie, Université de Tours, Inserm, UFR Médecine, 10 boulevard Tonnellé, Bât. Planiol 4ème étage, 37000, Tours, France.
Liji CaoInviscan SAS, Strasbourg, France.
Sylvie BodardUMR 1253, IBrain, Équipe Imagerie, Biomarqueurs et Thérapie, Université de Tours, Inserm, UFR Médecine, 10 boulevard Tonnellé, Bât. Planiol 4ème étage, 37000, Tours, France.
Alessandro PilleriDepartment of Physics, University of Pisa, Largo Bruno Pontecorvo 3, 56127, Pisa, Italy.
Lionel ThomasInstitut Pluridisciplinaire Hubert Curien, Université de Strasbourg, 23 rue du Loess, 67037, Strasbourg, France.
Giancarlo SportelliDepartment of Physics, University of Pisa, Largo Bruno Pontecorvo 3, 56127, Pisa, Italy.
Johnny VercouillieUMR 1253, IBrain, Équipe Imagerie, Biomarqueurs et Thérapie, Université de Tours, Inserm, UFR Médecine, 10 boulevard Tonnellé, Bât. Planiol 4ème étage, 37000, Tours, France.
Patrick EmondUMR 1253, IBrain, Équipe Imagerie, Biomarqueurs et Thérapie, Université de Tours, Inserm, UFR Médecine, 10 boulevard Tonnellé, Bât. Planiol 4ème étage, 37000, Tours, France.
Clovis TauberUMR 1253, IBrain, Équipe Imagerie, Biomarqueurs et Thérapie, Université de Tours, Inserm, UFR Médecine, 10 boulevard Tonnellé, Bât. Planiol 4ème étage, 37000, Tours, France.
Nicola BelcariDepartment of Physics, University of Pisa, Largo Bruno Pontecorvo 3, 56127, Pisa, Italy.
Jean-Luc LefaucheurInviscan SAS, Strasbourg, France.
David BrasseInstitut Pluridisciplinaire Hubert Curien, Université de Strasbourg, 23 rue du Loess, 67037, Strasbourg, France.
Laurent GalineauUMR 1253, IBrain, Équipe Imagerie, Biomarqueurs et Thérapie, Université de Tours, Inserm, UFR Médecine, 10 boulevard Tonnellé, Bât. Planiol 4ème étage, 37000, Tours, France. galineau@univ-tours.fr.ORCID http://orcid.org/0000-0003-4960-1643
Université de Tours · FRCentre National de la Recherche Scientifique · FRUniversity of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-human primates (NHP) are critical in biomedical research to better understand the pathophysiology of diseases and develop new therapies. Based on its translational and longitudinal abilities along with its non-invasiveness, PET/CT systems dedicated to non-human primates can play an important role for future discoveries in medical research. The aim of this study was to evaluate the performance of a new PET/CT system dedicated to NHP imaging, the IRIS XL-220 developed by Inviscan SAS. This was performed based on the National Electrical Manufacturers Association (NEMA) NU 4-2008 standard recommendations (NEMA) to characterize the spatial resolution, the scatter fraction, the sensitivity, the count rate, and the image quality of the system. Besides, the system was evaluated in real conditions with two NHP with

resultsThe full width at half maximum obtained with the 3D OSEM algorithm ranged between 0.89 and 2.11 mm in the field of view. Maximum sensitivity in the 400-620 keV and 250-750 keV energy windows were 2.37% (22 cps/kBq) and 2.81% (25 cps/kBq), respectively. The maximum noise equivalent count rate (NEC) for a rat phantom was 82 kcps at 75 MBq and 88 kcps at 75 MBq for energy window of 250-750 and 400-620 keV, respectively. For the monkey phantom, the maximum NEC was 18 kcps at 126 MBq and 19 kcps at 126 MBq for energy window of 250-750 and 400-620 keV, respectively. The IRIS XL provided an excellent quality of images in non-human primates and rats using

conclusionsTaken together, these results showed that the IRIS XL-220 is a high-resolution system well suited for PET/CT imaging in non-human primates.

Indexed as

InstrumentationNEMA characterizationNon-human primatesPerformance evaluationPET/CTPreclinical imaging

Identifiers

PMID35122556
PMCPMC8818072
OpenAlexW4210310917

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.