Evidence map›Paper›PMID 40192938›Full record

ArticleEJNMMI physics2025

Open-source phantom with dedicated in-house software for image quality assurance in hybrid PET systems.

Carmen Salvador-Ribés, Carina Soler-Pons, María Jesús Sánchez-García, Tobias Fechter, Consuelo Olivas, Irene Torres-Espallardo, José Pérez-Calatayud, Dimos Baltas, Michael Mix, Luis Martí-Bonmatí and 1 more

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Article in EJNMMI physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Carmen Salvador-RibésBiomedical Imaging Research Group (GIBI230), La Fe Health Research Institute, 46026, Valencia, Spain. carmen_salvador@iislafe.es.ORCID http://orcid.org/0009-0003-2119-0771
Carina Soler-PonsBiomedical Imaging Research Group (GIBI230), La Fe Health Research Institute, 46026, Valencia, Spain.
María Jesús Sánchez-GarcíaBiomedical Imaging Research Group (GIBI230), La Fe Health Research Institute, 46026, Valencia, Spain.
Tobias FechterDivision of Medical Physics, Department of Radiation Oncology, Faculty of Medicine, University Medical Center Freiburg, Freiburg, Germany.
Consuelo OlivasMedical Imaging Department, La Fe University and Polytechnic Hospital, 46026, Valencia, Spain.
Irene Torres-EspallardoMedical Imaging Department, La Fe University and Polytechnic Hospital, 46026, Valencia, Spain.
José Pérez-CalatayudDepartment of Radiation Oncology, La Fe University and Polytechnic Hospital, 46026, Valencia, Spain.
Dimos BaltasDivision of Medical Physics, Department of Radiation Oncology, Faculty of Medicine, University Medical Center Freiburg, Freiburg, Germany.
Michael MixDepartment of Nuclear Medicine, Faculty of Medicine, University Medical Center Freiburg, 79106, Freiburg, Germany.
Luis Martí-BonmatíBiomedical Imaging Research Group (GIBI230), La Fe Health Research Institute, 46026, Valencia, Spain.
Montserrat CarlesBiomedical Imaging Research Group (GIBI230), La Fe Health Research Institute, 46026, Valencia, Spain.

Funding

Instituto de Salud Carlos III CP23/000106Instituto de Salud Carlos III FI23/00097
6 · The paper itself

Abstract

backgroundPatients' diagnosis, treatment and follow-up increasingly rely on multimodality imaging. One of the main limitations for the optimal implementation of hybrid systems in clinical practice is the time and expertise required for applying standardized protocols for equipment quality assurance (QA). Experimental phantoms are commonly used for this purpose, but they are often limited to a single modality and single quality parameter, lacking automated analysis capabilities. In this study, we developed a multimodal 3D-printed phantom and software for QA in positron emission tomography (PET) hybrid systems, with computed tomography (CT) or magnetic resonance (MR), by assessing signal, spatial resolution, radiomic features, co-registration and geometric distortions.

resultsPhantom models and Python software for the proposed QA are available to download, and a user-friendly plugin compatible with the open-source 3D-Slicer software has been developed. The QA viability was proved by characterizing a Philips-Gemini-TF64-PET/CT in terms of signal response (mean, µ), intrinsic variability for three consecutive measurements (daily variation coefficient, CoV

conclusionsOpen-source QA protocol for PET hybrid systems has been presented and its general applicability has been proved. This package facilitates simultaneously simple and semi-automated evaluation for various imaging modalities, providing a complete and efficient QA solution.

Indexed as

3D-printingExperimental phantomsMedical imagingOncologyPET/CTPET/MRQuality assuranceRadiotherapy

Identifiers

PMID40192938
PMCPMC11977063

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.