ReviewEuropean journal of nuclear medicine and molecular imaging2021
Kinetic modeling and parametric imaging with dynamic PET for oncological applications: general considerations, current clinical applications, and future perspectives.
Review in European journal of nuclear medicine and molecular imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers.
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Who cites it
119 citing papers in PubMed.
- A pilot study of [European journal of nuclear medicine and molecular imaging · 2025Trial
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- PSMA PET/CT-Targeted Biopsy in Men with Negative or Equivocal Multiparametric MRI and Exploratory Dynamic Total-Body PET: The FUPERMAN Study.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026Article
- Patlak-Guided Self-Supervised Learning for Dynamic PET Denoising.IEEE transactions on radiation and plasma medical sciences · 2026Article
- Realization of long axial field-of-view PET technology in the clinic and research environment.The British journal of radiology · 2026Review
- Are liver metastases from uveal melanoma a clinical indication for dynamic PET? A comparison of Patlak parametric imaging with standard and delayed static SUV imaging using long axial field-of-view PET/CT.European journal of nuclear medicine and molecular imaging · 2026Article
- Parametric imaging of dynamic long-axial-field-of-view PET scans: Technical challenges, statistical insights and clinical applications.Zeitschrift fur medizinische Physik · 2026Review
- A microscopic computational simulation of [Physics in medicine and biology · 2026Article
- Whole-Body Dynamic Positron Emission and Computed Tomography (WBD-PET/CT): Latest Developments, Challenges and Opportunities.Diagnostics (Basel, Switzerland) · 2026Review
- Image-derived input functions for [18F]LW223 and [18F]SynVesT-1 PET in the rodent determined using an autoencoder (IDIF-AE).Physics in medicine and biology · 2026Article
- Exploring extended [European journal of nuclear medicine and molecular imaging · 2026Article
- From imaging heterogeneity to clinical decision: a novel imaging biomarker based on bone marrow kinetics for advanced NSCLC patients in partial response.EJNMMI research · 2026Article
- Advances and Challenges in Pharmacokinetic Modeling for PET Imaging: Compartment Models, Input Functions, and Quantitative Techniques.Tomography (Ann Arbor, Mich.) · 2026Review
- Mitigating bladder signal inEJNMMI physics · 2026Article
- Evaluation of a clinically efficient [EJNMMI research · 2026Article
- Comparison of multi-organ CT image segmentation tools for whole-body [European journal of nuclear medicine and molecular imaging · 2026Article
- Enhanced data usability in dynamicEJNMMI physics · 2026Article
- Illuminating Glucose: How to Unveil Organ-Specific Insulin Resistance and Guide Metabolic Strategies in Diabetes.Diabetes/metabolism research and reviews · 2026Review
- Simplified dosimetry using two-time-point kinetic modeling ofMedical physics · 2026Article
59 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dynamic PET (dPET) studies have been used until now primarily within research purposes. Although it is generally accepted that the information provided by dPET is superior to that of conventional static PET acquisitions acquired usually 60 min post injection of the radiotracer, the duration of dynamic protocols, the limited axial field of view (FOV) of current generation clinical PET systems covering a relatively small axial extent of the human body for a dynamic measurement, and the complexity of data evaluation have hampered its implementation into clinical routine. However, the development of new-generation PET/CT scanners with an extended FOV as well as of more sophisticated evaluation software packages that offer better segmentation algorithms, automatic retrieval of the arterial input function, and automatic calculation of parametric imaging, in combination with dedicated shorter dynamic protocols, will facilitate the wider use of dPET. This is expected to aid in oncological diagnostics and therapy assessment. The aim of this review is to present some general considerations about dPET analysis in oncology by means of kinetic modeling, based on compartmental and noncompartmental approaches, and parametric imaging. Moreover, the current clinical applications and future perspectives of the modality are outlined.
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