Evidence map›Paper›PMID 41517848›Full record

ReviewJournal of gastric cancer2026

Molecular Imaging in Gastric Cancer: [¹⁸F]FDG and Fibroblast Activation Protein-Targeted PET/CT.

Chaninart Sakulpisuti, Minseok Suh

Abstract readReview
In one paragraph

Review in Journal of gastric cancer, 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. 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

2 authors.

Chaninart SakulpisutiDepartment of Nuclear Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.ORCID 0000-0003-0879-088X
Minseok SuhDepartment of Nuclear Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea. mandu3710@gmail.com.ORCID 0000-0002-6932-8552

Funding

Korea Health Industry Development Institute RS-2024-00408027
6 · The paper itself

Abstract

Gastric cancer remains a major global health burden, and accurate staging and response assessment are essential for optimal management. 2-[¹⁸F]-Fluoro-2-deoxy-D-glucose ([¹⁸F]FDG) positron emission tomography (PET)/computed tomography (CT) is widely used in oncology. However, it exhibits variable sensitivity in gastric cancer, particularly in poorly cohesive, mucinous, and signet ring cell carcinomas with low glucose metabolism. These limitations have prompted interest in fibroblast activation protein-targeted imaging, which visualizes the tumor stroma rather than the tumor cells. Radiolabeled fibroblast activation protein inhibitors (FAPIs) exhibit high tumor-to-background contrast and consistent uptake across histological subtypes, offering improved lesion detectability even in [¹⁸F]FDG-negative tumors. This review outlines the evolving role of PET/CT in gastric cancer, with a focus on [¹⁸F]FDG and FAPI tracers. Comparative evidence indicates that FAPI PET/CT enhances diagnostic accuracy, provides complementary information for evaluating treatment response, and offers potential theranostic applications. Further prospective studies are needed to establish standardized protocols and define the clinical impact of FAPI PET/CT.

Indexed as

Fluorodeoxyglucose F18GelatinasesMembrane ProteinsMolecular ImagingPositron Emission Tomography Computed TomographySerine EndopeptidasesStomach NeoplasmsEndopeptidasesFibroblast Activation Protein AlphaHumansRadiopharmaceuticalsEndopeptidasesFibroblast Activation Protein AlphaFluorodeoxyglucose F18GelatinasesMembrane ProteinsRadiopharmaceuticalsSerine EndopeptidasesFibroblast activation protein alphaFluorodeoxyglucose F18Molecular imagingPositron emission tomography

Identifiers

PMID41517848
PMCPMC12802068

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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.