Evidence map›Paper›PMID 42271267›Full record

ArticleBMC medical imaging2026

Swin UNETR-based prediction of [

Saeideh Izadi-Yazdi, Farshid Babapour-Mofrad, Elmira Yazdani, Najme Karamzade-Ziarati, Hossein Arabi, Mahdi Sadeghi

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

Article in BMC medical imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

6 authors.

Saeideh Izadi-YazdiDepartment of Medical Radiation Engineering, SR.C., Islamic Azad University, Tehran, Iran.
Farshid Babapour-MofradDepartment of Medical Radiation Engineering, SR.C., Islamic Azad University, Tehran, Iran. babapour@iau.ac.ir.
Elmira YazdaniDepartment of Medical Physics, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Najme Karamzade-ZiaratiResearch Center for Nuclear Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Hossein ArabiDivision of Nuclear Medicine & Molecular Imaging, Geneva University Hospital, Geneva, CH-1211, Switzerland.
Mahdi SadeghiDepartment of Medical Physics, School of Medicine, Iran University of Medical Sciences, Tehran, Iran. sadeghi.m@iums.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFibroblast activation protein (FAP) is a promising theranostic target due to its high stroma expression in numerous malignancies. This study presents the first DL-based framework for predicting dose rate maps (DRMs) from [

methodsPET/CT scans with [

results[

conclusionCompared to [

Indexed as

Fluorodeoxyglucose F18Gallium RadioisotopesNeoplasmsPositron Emission Tomography Computed TomographyRadiopharmaceuticalsEndopeptidasesFemaleFibroblast Activation Protein AlphaHumansQuinolinesRetrospective Studies68Ga-FAPIEndopeptidasesFAPI-46Fibroblast Activation Protein AlphaFluorodeoxyglucose F18Gallium RadioisotopesQuinolinesRadiopharmaceuticalsDeep learningDosimetryFAPIFibroblast activation protein (FAP)Radiopharmaceutical therapy (RPT)Swin UNETR transformerTheranostics

Identifiers

PMID42271267
PMCPMC13474557

What OpenQuestion holds

Textmetadata
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.