Evidence map›Paper›PMID 38294624›Full record

ArticleEJNMMI physics2024

Validation of a discovery MI 4-ring model according to the NEMA NU 2-2018 standards: from Monte Carlo simulations to clinical-like reconstructions.

Antoine Merlet, Benoît Presles, Kuan-Hao Su, Julien Salvadori, Farzam Sayah, Hanieh Jozi, Alexandre Cochet, Jean-Marc Vrigneaud

Abstract read
In one paragraph

Article in EJNMMI physics, 2024. 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
–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

1 citing paper in PubMed.

  1. 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

8 authors.

Antoine MerletImagerie et Vision artificielle, ImViA EA 7535, University of Burgundy, Dijon, France.
Benoît PreslesInstitut de Chimie Moléculaire de l'Université de Bourgogne (ICMUB), UMR CNRS 6302, University of Burgundy, Dijon, France.
Kuan-Hao SuGE Healthcare, Waukesha, WI, USA.
Julien SalvadoriICANS, Institut de cancérologie Strasbourg Europe, Strasbourg, France.
Farzam SayahDepartment of Nuclear Medicine, Georges-François Leclerc Cancer Centre, Dijon, France.
Hanieh JoziDepartment of Nuclear Medicine, Georges-François Leclerc Cancer Centre, Dijon, France.
Alexandre CochetInstitut de Chimie Moléculaire de l'Université de Bourgogne (ICMUB), UMR CNRS 6302, University of Burgundy, Dijon, France.
Jean-Marc VrigneaudInstitut de Chimie Moléculaire de l'Université de Bourgogne (ICMUB), UMR CNRS 6302, University of Burgundy, Dijon, France. jmvrigneaud@cgfl.fr.ORCID http://orcid.org/0000-0002-3441-7520

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe propose a comprehensive evaluation of a Discovery MI 4-ring (DMI) model, using a Monte Carlo simulator (GATE) and a clinical reconstruction software package (PET toolbox). The following performance characteristics were compared with actual measurements according to NEMA NU 2-2018 guidelines: system sensitivity, count losses and scatter fraction (SF), coincidence time resolution (CTR), spatial resolution (SR), and image quality (IQ). For SR and IQ tests, reconstruction of time-of-flight (TOF) simulated data was performed using the manufacturer's reconstruction software.

resultsSimulated prompt, random, true, scatter and noise equivalent count rates closely matched the experimental rates with maximum relative differences of 1.6%, 5.3%, 7.8%, 6.6%, and 16.5%, respectively, in a clinical range of less than 10 kBq/mL. A 3.6% maximum relative difference was found between experimental and simulated sensitivities. The simulated spatial resolution was better than the experimental one. Simulated image quality metrics were relatively close to the experimental results.

conclusionsThe current model is able to reproduce the behaviour of the DMI count rates in the clinical range and generate clinical-like images with a reasonable match in terms of contrast and noise.

Indexed as

GATEMonte Carlo simulationNEMANuclear medicinePET

Identifiers

PMID38294624
PMCPMC11266333

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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.