Evidence map›Paper›PMID 41264050›Full record

ArticlePhysical and engineering sciences in medicine2026

¹⁸F-FDG PET radiomics and machine learning for virtual biopsy and treatment decisions in lymphoma: a multicenter study.

Setareh Hasanabadi, Seyed Mahmud Reza Aghamiri, Ahmad Ali Abin, Mehrdad Bakhshayesh Karam, Habibeh Vosoughi, Farshad Emami, Elham Askari, Sharareh Seifi, Atosa Dorudinia, Hossein Arabi and 1 more

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

Article in Physical and engineering sciences in medicine, 2026. 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

11 authors.

Setareh HasanabadiDepartment of Medical Radiation Engineering, Shahid Beheshti University, Tehran, Iran.
Seyed Mahmud Reza AghamiriDepartment of Medical Radiation Engineering, Shahid Beheshti University, Tehran, Iran.
Ahmad Ali AbinFaculty of Computer Science and Engineering, Shahid Beheshti University, Tehran, Iran.
Mehrdad Bakhshayesh KaramNational Research Institute of Tuberculosis and Lung Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Habibeh VosoughiResearch Center for Nuclear Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Farshad EmamiRazavi Cancer Research Center, Razavi Hospital, Imam Reza International University, Mashhad, Iran.
Elham AskariNational Research Institute of Tuberculosis and Lung Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Sharareh SeifiNational Research Institute of Tuberculosis and Lung Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Atosa DorudiniaVanak pathobiology lab, Vanak, Tehran, Iran.
Hossein ArabiDivision of Nuclear Medicine & Molecular Imaging, Geneva University Hospital, CH-1211, Geneva, Switzerland.ORCID http://orcid.org/0000-0001-6526-0960
Habib ZaidiDivision of Nuclear Medicine & Molecular Imaging, Geneva University Hospital, CH-1211, Geneva, Switzerland. habib.zaidi@hcuge.ch.ORCID http://orcid.org/0000-0001-7559-5297

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the potential of combining baseline

Indexed as

Fluorodeoxyglucose F18LymphomaMachine LearningPositron-Emission TomographyAdultAgedBiopsyFemaleHumansImage Processing, Computer-AssistedLymphoma, Non-HodgkinMaleMiddle AgedRadiomicsFluorodeoxyglucose F18LymphomaMachine learningMulti-center studyPETRadiomics

Identifiers

PMID41264050
PMCPMC12987794

What OpenQuestion holds

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LicenceCC BY
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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.