ArticleEJNMMI physics2023
Framing protocol optimization in oncological Patlak parametric imaging with uKinetics.
Article in EJNMMI physics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Parametric imaging of dynamic long-axial-field-of-view PET scans: Technical challenges, statistical insights and clinical applications.Zeitschrift fur medizinische Physik · 2026Review
- Differences in the quantitative parameter of lung lesions in dynamic chest FDG PET/CT imaging: framing protocol, reconstruction algorithm, software processing.Frontiers in oncology · 2026Article
- Fast 4D-PET parametric imaging computation at the whole field of view level: Reliability under simulated conditions of PET KinetiX, a dedicated software solution.European journal of nuclear medicine and molecular imaging · 2025Article
- Feasibility of simplified Patlak parametric imaging with scaled population-based input function on pancreatic cancer.EJNMMI physics · 2025Article
- Expert consensus on workflow of PET/CT with long axial field-of-view.European journal of nuclear medicine and molecular imaging · 2025Review
- Determining the optimal pharmacokinetic modelling and simplified quantification method of [European journal of nuclear medicine and molecular imaging · 2024Article
- An update on the use of image-derived input functions for human PET studies: new hopes or old illusions?EJNMMI research · 2023Review
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Authors and funding
7 authors.
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Abstract
purposeTotal-body PET imaging with ultra-high sensitivity makes high-temporal-resolution framing protocols possible for the first time, which allows to capture rapid tracer dynamic changes. However, whether protocols with higher number of temporal frames can justify the efficacy with substantially added computation burden for clinical application remains unclear. We have developed a kinetic modeling software package (uKinetics) with the advantage of practical, fast, and automatic workflow for dynamic total-body studies. The aim of this work is to verify the uKinetics with PMOD and to perform framing protocol optimization for the oncological Patlak parametric imaging.
methodsSix different protocols with 100, 61, 48, 29, 19 and 12 temporal frames were applied to analyze 60-min dynamic
resultsMinor differences were found between uKinetics and PMOD in the Patlak parametric imaging. Compared with the protocol with 100 frames, the relative difference of the input function and quantitative kinetic parameters remained low for protocols with at least 29 frames, but increased for the protocols with 19 and 12 frames. Significant difference of lesion K
conclusionuKinetics was proved providing equivalent oncological Patlak parametric imaging comparing to PMOD. Minor differences were found between protocols with 100 and 29 frames, which indicated that 29-frame protocol is sufficient and efficient for the oncological
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