Clinical and research applications of fibroblast activation protein-α inhibitor tracers: a review
Bibliographic record
Abstract
In the last decade, fibroblast activation protein-α inhibitors (FAPIs), which target the cancer-associated fibroblasts of the tumour microenvironment, have become a topic of great interest. In oncology, FAPI PET/CT imaging has repeatedly demonstrated a higher lesion detection rate than other conventional imaging modalities such as CT or 18F-FDG PET/CT for several tumours. In some cases, the initial staging and therapeutic management may even change. Some FAPI radioligands may also be labelled with therapeutic radionuclides for theranostic applications. It is thus possible to treat certain metastatic cancers with FAPI radioligand therapy (FAPI-RLT), which is generally well tolerated with little toxicity. Recently, new FAPIs have been developed with the particularity of having a higher binding affinity for the target, which further improves the lesion detection rate on PET/CT and clinical outcomes following FAPI-RLT. This review provides recent updates in the clinical use of FAPI PET/CT and FAPI-RLT and discusses potential emergent applications, including in inflammation imaging.
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.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".