Evidence map›Paper›PMID 41787024›Full record

ArticleEJNMMI reports2026

The analysis of biodistribution and tumor uptake of [

Emil Novruzov, Frederik L Giesel, Eduards Mamlins, Tadashi Watabe, Jens Cardinale, Christina Antke, Yuriko Mori, Nils Schupps, Claudio Pinto, Cristian Soza-Ried and 4 more

Abstract read
In one paragraph

Article in EJNMMI reports, 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

14 authors.

Emil NovruzovDepartment of Nuclear Medicine, Medical Faculty, University Hospital Duesseldorf, Heinrich-Heine-University Duesseldorf, Moorenstrasse 5, 40225, Düsseldorf, Germany. Emil.Novruzov@med.uni-duesseldorf.de.ORCID http://orcid.org/0000-0003-1914-1332
Frederik L GieselDepartment of Nuclear Medicine, Medical Faculty, University Hospital Duesseldorf, Heinrich-Heine-University Duesseldorf, Moorenstrasse 5, 40225, Düsseldorf, Germany.
Eduards MamlinsDepartment of Nuclear Medicine, Medical Faculty, University Hospital Duesseldorf, Heinrich-Heine-University Duesseldorf, Moorenstrasse 5, 40225, Düsseldorf, Germany.
Tadashi WatabeDepartment of Nuclear Medicine and Tracer Kinetics, Graduate School of Medicine, Osaka University, Osaka, Japan.
Jens CardinaleDepartment of Nuclear Medicine, Medical Faculty, University Hospital Duesseldorf, Heinrich-Heine-University Duesseldorf, Moorenstrasse 5, 40225, Düsseldorf, Germany.
Christina AntkeDepartment of Nuclear Medicine, Medical Faculty, University Hospital Duesseldorf, Heinrich-Heine-University Duesseldorf, Moorenstrasse 5, 40225, Düsseldorf, Germany.
Yuriko MoriDepartment of Nuclear Medicine, Medical Faculty, University Hospital Duesseldorf, Heinrich-Heine-University Duesseldorf, Moorenstrasse 5, 40225, Düsseldorf, Germany.
Nils SchuppsDepartment of Nuclear Medicine, Medical Faculty, University Hospital Duesseldorf, Heinrich-Heine-University Duesseldorf, Moorenstrasse 5, 40225, Düsseldorf, Germany.
Claudio PintoDepartamento Anatomia Patologica, Hospital Sotero del Rio, Santiago, 8207257, Chile.
Cristian Soza-RiedCenter for Nuclear Medicine, PET/CT Positronmed, Santiago, 7501068, Chile.
Rene FernandezCenter for Nuclear Medicine, PET/CT Positronmed, Santiago, 7501068, Chile.
Horacio AmaralCenter for Nuclear Medicine, PET/CT Positronmed, Santiago, 7501068, Chile.
Vasko Kramer *Center for Nuclear Medicine, PET/CT Positronmed, Santiago, 7501068, Chile.
Leonardo Badinez *Instituto Radiooncológico Santiago INRAD, Santiago, 7750000, Chile.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe roll-out of FAP (fibroblast-activation-protein) imaging with small-molecule PET tracers marks one of the major breakthroughs in nuclear medicine. The majority of current evidence, however, has been generated by 68Ga-labelled FAPI tracers, a reliance that presents serious economical and logistic challenges to the oncological community. Hence, current research focuses on development of 18F-labelled FAPI tracers to overcome the limitations of 68Ga-labelling. [18F]AlF-FAPI-74, a recently introduced radiotracer, emerges as a promising candidate to fulfill those unmet clinical needs. This single-center, exploratory study sought to investigate the biodistribution and tumor uptake of [18F]AlF-FAPI-74 across various tumor entities in a head-to-head comparison with [18F]FDG imaging. MATERIAL AND

methodA total of 19 patients (15 males and 4 females) were enrolled in this prospective study with a head-to-head analysis of [18F]FAPI-74 and [18F]FDG PET/CT imaging between May 2021 and January 2024. According to inclusion criteria, patients underwent PET/CT scans, when they had either a biopsy-proven or highly suspected malignancy with a prior FDG imaging, or highly suspected or proven recurrence by clinical or other imaging findings or therapy monitoring after neoadjuvant or also palliative radiochemotherapy. All patients had histologically proven malignancies of pancreatic adenocarcinoma (PDAC) in 8 patients, soft tissue sarcoma (STS) in 6 patients, colorectal carcinoma (CRC) in 4 patients and gastric carcinoma in 1 patient. The mean injected activity for [18F]FAPI-74 and [18F]FDG PET/CT was 239 MBq (± 57) and 209 MBq (± 74) and the mean uptake time was 72 min (± 10) and 73 min (± 17), respectively.

results[18F]AlF-FAPI-74 demonstrated superior imaging characteristics compared to [18F]FDG, identifying a greater number of both primary and metastatic lesions across all tumor entities. Our SUV-metrics analysis revealed more favorable results for the detection of primary lesions with [18F]FAPI-74 imaging (e.g. SUVmax ± SD, 9.79 ± 4.2 vs. 6.41 ± 2.8, [18F]FAPI-74 vs. [18F]FDG, respectively), whereas only the TBR in relation to blood pool appeared to be statistically significant (5.08 vs. 3.15 (p: 0.03); [18F]FAPI-74 vs. [18F]FDG, respectively). We observed a similar tendency in the analysis of SUV-metrics (e.g. SUVmax ± SD, 7.42 ± 2.8 vs. 6.18 ± 2.7, [18F]FAPI-74 vs. [18F]FDG, respectively) in metastatic lesions as well.

conclusionsIn this prospective, exploratory study cohort, [18F]FAPI-74 appeared to display more favorable imaging characteristics such as lesion contrast and delineation compared with [18F]FDG. Given the advantages of 18F-labeling, [18F]FAPI-74 warrants further investigation with larger cohorts to determine its diagnostic potential and clinical impact.

Indexed as

[18F]AlF-FAPI-7418F-labellingColorectal carcinomaFAPI-74 PETGastrointestinal tumorsPancreatic carcinomaSoft tissue tumors

Identifiers

PMID41787024
PMCPMC12963560

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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.