ReviewRheumatology (Oxford, England)2025
Emerging PET radiotracers for vascular imaging.
Review in Rheumatology (Oxford, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed.
- Clinical applications of PET imaging for evaluating treatment-induced vascular toxicity in oncology.Current opinion in hematology · 2026Review
- Management of Takayasu Arteritis - A 2026 Update.Current rheumatology reports · 2026Review
- EACVI survey on the use of multi-modality cardiovascular imaging in immune-mediated inflammatory diseases.European heart journal. Imaging methods and practice · 2026Article
- Advances in the pathophysiology, diagnosis and treatment of Takayasu arteritis.Nature reviews. Rheumatology · 2025Review
- The Role of FDG-PET in the Diagnosis and Monitoring of Large-Vessel Vasculitis.Current rheumatology reports · 2025Review
- The Role of Imaging in Monitoring Large Vessel Vasculitis: A Comprehensive Review.Biomolecules · 2025Review
- Positron Emission Tomography in Takayasu Arteritis: A Review Including Patterns of Vascular Involvement Across Modalities and Regions.Journal of clinical medicine · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Imaging plays an important role in the clinical management of patients with large-vessel vasculitis (LVV), both to confirm the diagnosis at the time of initial presentation and to identify disease relapses in individuals with established disease. The big advantage of PET imaging over other non-invasive imaging modalities is the ability to employ targeted radionuclide probes to localize and track cellular pathways, providing in vivo assessments of disease activity. While 18F-fluorodeoxyglucose (FDG) has good diagnostic accuracy for LVV, this tracer is taken up by all glucose metabolizing cells in the vessel wall and so non-specific arterial uptake that is often unrelated to inflammatory disease activity can occur in patients despite a good clinical response to treatment. Advances in PET imaging technology and methods such as delayed imaging protocols and quantitative parametric imaging have the potential to improve the diagnostic accuracy of 18F-FDG in LVV. However, there is nevertheless a real clinical need for new PET tracers that target specific immune cells and inflammatory processes to inform about underlying disease pathology and guide individualized treatments for LVV. Many emerging PET tracers developed initially for oncology or atherosclerosis imaging could provide useful measures of disease activity in LVV, including tracers targeted to receptors on monocytes/macrophages, T and B lymphocytes and other inflammatory cells implicated in the pathogenesis of the disease. This focused review will discuss several of the most promising emerging PET radionuclide tracers for imaging vascular inflammation.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.