Evidence map›Paper›PMID 41644292›Full record

ArticleJournal of nuclear medicine : official publication, Society of Nuclear Medicine2026

Validation of a Deep-Learning Coregistration Framework for Long-Axial-Field-of-View PET/CT Using Low-Radiation-Exposure Protocols Across Various Tracers.

Zekai Li, Laura Providência, Philipp Mohr, Samaneh Mostafapour, Mostafa Roya, T Samara Martinez-Lucio, Joost F Somsen, Goudje L van Leeuwen, Giordana Salvi De Souza, Joyce van Sluis and 11 more

Abstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2026. 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

21 authors.

Zekai LiDepartment of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands; z.l.li@umcg.nl.
Laura ProvidênciaDepartment of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Philipp MohrDepartment of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Samaneh MostafapourDepartment of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Mostafa RoyaDepartment of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
T Samara Martinez-LucioDepartment of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Joost F SomsenDepartment of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Goudje L van LeeuwenDepartment of Surgery, Division of Vascular Surgery, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Giordana Salvi De SouzaDepartment of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Joyce van SluisDepartment of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Andor W J M GlaudemansDepartment of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Rudi A J O DierckxDepartment of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Jean-Paul P M de VriesDepartment of Surgery, Division of Vascular Surgery, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Gert LuurtsemaDepartment of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Riemer H J A SlartDepartment of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Adrienne H BrouwersDepartment of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Paul SchleyerSiemens Medical Solutions USA, Knoxville, Tennessee.
Maurizio ContiSiemens Medical Solutions USA, Knoxville, Tennessee.
Adriaan A LammertsmaDepartment of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Joshua SchaefferkoetterSiemens Medical Solutions USA, Knoxville, Tennessee.
Charalampos TsoumpasDepartment of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advent of long-axial-field-of-view (LAFOV) PET/CT systems has significantly improved whole-body imaging by providing higher sensitivity and extended torso coverage. However, PET/CT potential misalignment remains a challenge, potentially introducing artifacts and quantification errors. Moreover, PET protocols with reduced scanning duration and dose, as well as the use of ultra-low-dose CT (ULD-CT), are increasingly relevant in clinical practice and research. This study aimed to evaluate the robustness and generalizability of a deep-learning coregistration framework for PET/CT alignment using low-dose PET and ULD-CT across various tracers with a LAFOV system.

Indexed as

Deep LearningImage Processing, Computer-AssistedPositron Emission Tomography Computed TomographyRadiation DosageRadiation ExposureHumansRadioactive TracersReproducibility of ResultsRadioactive Tracersartificial intelligenceattenuation correctionpositron emission tomographyregistration

Identifiers

PMID41644292
PMCPMC13138106

What OpenQuestion holds

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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.