ReviewThe British journal of radiology2026
Kinetic modeling with total body PET-current status and future applications.
Review in The British journal of radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- First Experience with [Diagnostics (Basel, Switzerland) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Total-body and long axial field-of-view (LAFOV) PET/CT systems have transformed kinetic modeling from a regional research tool into a whole-body quantitative imaging approach. Unlike static SUV-based imaging, kinetic analysis provides physiologically meaningful parameters describing tracer transport, metabolism, and receptor binding. Historically limited by short axial coverage and low sensitivity, dynamic PET studies were confined to single organs and required invasive arterial sampling. LAFOV scanners, offering axial coverage of up to 2 m and >10-fold sensitivity gains, enable simultaneous multi-organ dynamic acquisitions in a single bed position. This facilitates image-derived input functions, shortened protocols, and ultra-low-dose imaging while maintaining quantitative accuracy. Applications span oncology, neurology, cardiology, infection, and inflammation, with emerging roles in healthy volunteer studies and systemic physiology research. AI-driven methods further enhance feasibility by reducing scan duration, improving parametric image generation, and automating motion correction. Despite challenges in workflow standardization and model selection, advances in acquisition protocols and computational tools position LAFOV PET kinetic modeling as a clinically viable technique. Future developments promise integration into routine practice, enabling precision diagnostics, longitudinal monitoring, and novel tracer evaluation. LAFOV PET thus represents a paradigm shift toward comprehensive, whole-body quantitative imaging in nuclear medicine.
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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 OpenQuestion graph.