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Record W4416172977 · doi:10.1021/acsptsci.4c00641

Fibroblast Activation Protein Inhibitor (FAPI)-Radioligand PET/CT in the Assessment of Nononcological Diseases: A Narrative Review

2025· review· en· W4416172977 on OpenAlex
Forough Kalantari, Anton Amadeus Hörmann, Martha Pokarowski, Elham Kalantari, Theresa Jung, Gregor Schweighofer-Zwink, Gundula Rendl, Christian Pirich, Mohsen Beheshti

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueACS Pharmacology & Translational Science · 2025
Typereview
Languageen
FieldMedicine
TopicPeptidase Inhibition and Analysis
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsNarrative reviewFibroblast activation protein, alphaFibroblastTransplantationMolecular imagingInflammation

Abstract

fetched live from OpenAlex

This narrative review provides an overview of benign FAPI-PET/CT or PET/MRI findings and studies investigating molecular imaging in nononcological diseases. Although the current focus of [68Ga]-Ga-FAPI PET/CT is on oncologic indications, there is growing interest in the potential of FAPI PET/CT for nononcologic applications. Taking into account all-in-one, clinical, and preclinical studies, and the priorities of FAPI imaging over 2-[18F]-FDG, the future direction of growing interest in the potential of FAPI tracer PET/CT as a promising technique in targeting fibroblast activation protein can be classified into some main fields for imaging and treatment monitoring. (1) Imaging of fibrotic disease, (2) cardiovascular imaging, (3) inflammatory and infectious diseases, (4) bone disease, (5) neuroimaging, and (6) organ transplantation imaging. The FAPI-radioligand shows promise as a targeted tracer for identifying and monitoring nononcological conditions, but current evidence is mainly based on small, heterogeneous retrospective analyses and case reports. Therefore, prospective studies are needed to reach reliable conclusions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.428
Threshold uncertainty score0.797

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.035
GPT teacher head0.435
Teacher spread0.400 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it