ReviewEuropean journal of nuclear medicine and molecular imaging2023
Quantitation of dynamic total-body PET imaging: recent developments and future perspectives.
Review in European journal of nuclear medicine and molecular imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed, 30 citations in OpenAlex.
- Optimized Detection of Left Ventricular Hyperpolarized [1-Magnetic resonance in medicine · 2026Article
- Whole-Body Dynamic Positron Emission and Computed Tomography (WBD-PET/CT): Latest Developments, Challenges and Opportunities.Diagnostics (Basel, Switzerland) · 2026Review
- The impact of scan time on dynamic [Formula: see text]-FAPI-04 total-body PET parametric imaging generated by deep learning models.EJNMMI physics · 2026Article
- Brain-body interactions in systemic diseases: a survey from an imaging perspective.MedScience · 2026Review
- Enhancing diagnosis of mild cognitive impairment through brain-heart-gut metabolic networks in whole-body PET imaging.Cell reports. Medicine · 2026Article
- Carcinogenesis: An Alternative Hypothesis Comparing Mutagenic Versus Metabolic Models.Biology · 2025Review
- Prognostic Value of Metabolic Tumor Volume and Heterogeneity Index in Diffuse Large B-Cell Lymphoma.Medicina (Kaunas, Lithuania) · 2025Article
- Self-supervised neural network for Patlak-based parametric imaging in dynamic [European journal of nuclear medicine and molecular imaging · 2025Article
- Multi-organ kinetic modeling for Na[Medical physics · 2025Article
- The impact of long axial field of view (LAFOV) PET on oncologic imaging.European journal of radiology · 2025Review
- Assessment of image-derived input functions from small vessels for patlak parametric imaging using total-body PET/CT.European journal of nuclear medicine and molecular imaging · 2025Article
- Radioprotection redefined: drug discovery at the intersection of tardigrade biology and translational pharmacology.Frontiers in pharmacology · 2025Article
- Performance Characteristics of a New Generation 148-cm Axial Field-of-View uMI Panorama GS PET/CT System with Extended NEMA NU 2-2018 and EARL Standards.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024Article
- MappingJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024Article
- Advances and challenges in measuring hepatic glucose uptake with FDG PET: implications for diabetes research.Diabetologia · 2024Review
- Molecular imaging for evaluation of synovitis associated with osteoarthritis: a narrative review.Arthritis research & therapy · 2024Review
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 at 2 institutions in 2 countries.
Funding
Abstract
backgroundPositron emission tomography (PET) scanning is an important diagnostic imaging technique used in disease diagnosis, therapy planning, treatment monitoring, and medical research. The standardized uptake value (SUV) obtained at a single time frame has been widely employed in clinical practice. Well beyond this simple static measure, more detailed metabolic information can be recovered from dynamic PET scans, followed by the recovery of arterial input function and application of appropriate tracer kinetic models. Many efforts have been devoted to the development of quantitative techniques over the last couple of decades. CHALLENGES: The advent of new-generation total-body PET scanners characterized by ultra-high sensitivity and long axial field of view, i.e., uEXPLORER (United Imaging Healthcare), PennPET Explorer (University of Pennsylvania), and Biograph Vision Quadra (Siemens Healthineers), further stimulates valuable inspiration to derive kinetics for multiple organs simultaneously. But some emerging issues also need to be addressed, e.g., the large-scale data size and organ-specific physiology. The direct implementation of classical methods for total-body PET imaging without proper validation may lead to less accurate results.
conclusionsIn this contribution, the published dynamic total-body PET datasets are outlined, and several challenges/opportunities for quantitation of such types of studies are presented. An overview of the basic equation, calculation of input function (based on blood sampling, image, population or mathematical model), and kinetic analysis encompassing parametric (compartmental model, graphical plot and spectral analysis) and non-parametric (B-spline and piece-wise basis elements) approaches is provided. The discussion mainly focuses on the feasibilities, recent developments, and future perspectives of these methodologies for a diverse-tissue environment.
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.