ArticleEuropean journal of nuclear medicine and molecular imaging2022
Short-time total-body dynamic PET imaging performance in quantifying the kinetic metrics of
Article in European journal of nuclear medicine and molecular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed, 59 citations in OpenAlex.
- Realization of long axial field-of-view PET technology in the clinic and research environment.The British journal of radiology · 2026Review
- Kinetic modeling with total body PET-current status and future applications.The British journal of radiology · 2026Review
- Parametric imaging of dynamic long-axial-field-of-view PET scans: Technical challenges, statistical insights and clinical applications.Zeitschrift fur medizinische Physik · 2026Review
- External validation and time-stability analysis of STARE, a blood-free quantification tool for irreversible PET tracers.bioRxiv : the preprint server for biology · 2026Article
- Regional impact of time-to-equilibrium on indirect Patlak whole-body parametric imaging: a multi-tissue class analysis at the entire body level.EJNMMI physics · 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
- Dynamic FDG PET/CT imaging: quantitative assessment, advantages and application in the diagnosis of malignant solid tumors.Frontiers in oncology · 2025Review
- Application of Dynamic [Molecular imaging and biology · 2024Article
- A Review of Machine Learning Approaches for Brain Positron Emission Tomography Data Analysis.Nuclear medicine and molecular imaging · 2024Review
- Extracting value from total-body PET/CT image data - the emerging role of artificial intelligence.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024Review
- PET KinetiX-A Software Solution for PET Parametric Imaging at the Whole Field of View Level.Journal of imaging informatics in medicine · 2024Article
- Dynamic total-body PET/CT imaging with reduced acquisition time shows acceptable performance in quantification of [European journal of nuclear medicine and molecular imaging · 2024Article
- Clinical feasibility study of early 30-minute dynamic FDG-PET scanning protocol for patients with lung lesions.EJNMMI physics · 2024Article
- Estimation of kinetic parameters in dynamic FDG PET imaging based on shortened protocols: a virtual clinical study.Physical and engineering sciences in medicine · 2024Article
- KineticEJNMMI physics · 2024Article
- Characteristics of whole-body dynamicQuantitative imaging in medicine and surgery · 2024Article
- The role of dynamic, static, and delayed total-body PET imaging in the detection and differential diagnosis of oncological lesions.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024Article
- A shortEJNMMI research · 2024Article
- Short-axis PET image quality improvement based on a uEXPLORER total-body PET system through deep learning.European journal of nuclear medicine and molecular imaging · 2023Article
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo investigate the performance of short-time dynamic imaging in quantifying kinetic metrics of 2-[
methodsDynamic total-body positron emission tomography (PET) imaging was performed in 11 healthy volunteers for 75 min. The data were divided into 30-, 45- and 75-min groups. Nonlinear regression (NLR) generated constant rates (k
resultsThe 45- and 75-min groups were similar in NLR-based kinetic metrics. The relative difference ranges were as follows: k
conclusionDynamic imaging using a high-sensitivity total-body PET scanner for a shorter time of 45 min could achieve relevant kinetic metrics of
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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.