Evidence map›Paper›PMID 37682303›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2023

Differential privacy preserved federated transfer learning for multi-institutional

Isaac Shiri, Yazdan Salimi, Mehdi Maghsudi, Elnaz Jenabi, Sara Harsini, Behrooz Razeghi, Shayan Mostafaei, Ghasem Hajianfar, Amirhossein Sanaat, Esmail Jafari and 14 more

Open access · hybridAbstract read
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
5.5field-weighted citation impact, top 4% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Large Language Models in Lung Cancer: Systematic Review.Journal of medical Internet research · 2025
    Pooled it
  2. Review
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  4. Article
  5. Review
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  9. Article
  10. The Role of Artificial Intelligence in Theranostics.Journal of nuclear medicine technology · 2025
    Review
  11. Article
  12. Article
  13. 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

24 authors at 13 institutions in 8 countries.

Isaac Shiri *Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva, Switzerland.
Yazdan Salimi *Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva, Switzerland.
Mehdi MaghsudiRajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran.
Elnaz JenabiResearch Center for Nuclear Medicine, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Sara HarsiniBC Cancer Research Institute, Vancouver, BC, Canada.
Behrooz RazeghiDepartment of Computer Science, University of Geneva, Geneva, Switzerland.
Shayan MostafaeiDivision of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
Ghasem HajianfarDivision of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva, Switzerland.
Amirhossein SanaatDivision of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva, Switzerland.
Esmail JafariThe Persian Gulf Nuclear Medicine Research Center, Department of Nuclear Medicine, Molecular Imaging, and Theranostics, Bushehr Medical University Hospital, School of Medicine, Bushehr University of Medical Sciences, Bushehr, Iran.
Rezvan SamimiDepartment of Medical Radiation Engineering, Shahid Beheshti University, Tehran, Iran.
Maziar KhateriDepartment of Medical Radiation Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Peyman SheikhzadehDepartment of Nuclear Medicine, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran.
Parham GeramifarResearch Center for Nuclear Medicine, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Habibollah DadgarCancer Research Center, Razavi Hospital, Imam Reza International University, Mashhad, Iran.
Ahmad Bitrafan RajabiRajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran.
Majid AssadiThe Persian Gulf Nuclear Medicine Research Center, Department of Nuclear Medicine, Molecular Imaging, and Theranostics, Bushehr Medical University Hospital, School of Medicine, Bushehr University of Medical Sciences, Bushehr, Iran.
François BénardBC Cancer Research Institute, Vancouver, BC, Canada.
Alireza Vafaei SadrInstitute of Pathology, RWTH Aachen University Hospital, Aachen, Germany.
Slava VoloshynovskiyDepartment of Computer Science, University of Geneva, Geneva, Switzerland.
Ismini MaintaDivision of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva, Switzerland.
Carlos UribeDepartment of Radiology, University of British Columbia, Vancouver, BC, Canada.
Arman RahmimDepartment of Radiology, University of British Columbia, Vancouver, BC, Canada.
Habib ZaidiDivision of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva, Switzerland. habib.zaidi@hcuge.ch.ORCID 0000-0001-7559-5297
University Hospital of Geneva · CHUniversity of British Columbia · CAUniversity of Geneva · CHBushehr University of Medical Sciences · IRIran University of Medical Sciences · IRShariati Hospital · IRImam Khomeini Hospital · IRImam Reza International University · IRIslamic Azad University, Science and Research Branch · IRKarolinska Institutet · SEPennsylvania State University · USShahid Beheshti University · IRUniversity of Bern · CH

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung SNSF 320030_176052
6 · The paper itself

Abstract

purposeImage artefacts continue to pose challenges in clinical molecular imaging, resulting in misdiagnoses, additional radiation doses to patients and financial costs. Mismatch and halo artefacts occur frequently in gallium-68 (

methodsAltogether, 1413 patients with

resultsThe three approaches investigated in this study for

conclusionThe proposed approach benefits from using large datasets from multiple centres while preserving patient privacy. Qualitative assessment by nuclear medicine physicians showed that the proposed model correctly addressed two main challenging artefacts in

Indexed as

Positron Emission Tomography Computed TomographyProstatic NeoplasmsArtifactsGallium RadioisotopesHumansImage Processing, Computer-AssistedMachine LearningMalePositron-Emission TomographyPrivacyGallium RadioisotopesArtefactsDeep learningFederated learningPET/CTPrivacy

Identifiers

PMID37682303
PMCPMC10684636
OpenAlexW4386531233

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.