ArticleEJNMMI research2020
Kinfitr - an open-source tool for reproducible PET modelling: validation and evaluation of test-retest reliability.
Article in EJNMMI research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Thalamic dopamine D2-receptor availability in schizophrenia: a study on antipsychotic-naive patients with first-episode psychosis and a meta-analysis.Molecular psychiatry · 2022Pooled it
- Effects of escitalopram on synaptic density in the healthy human brain: a randomized controlled trial.Molecular psychiatry · 2023Trial
- Building an open infrastructure for molecular neuroimaging: Standards and tools from the OpenNeuroPET initiative.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026Review
- Parametric imaging of dynamic long-axial-field-of-view PET scans: Technical challenges, statistical insights and clinical applications.Zeitschrift fur medizinische Physik · 2026Review
- Psilocybin's effect on human brain synaptic plasticity.Translational psychiatry · 2026Article
- Building an open ecosystem for molecular neuroimaging: standards and tools from the OpenNeuroPET initiative.bioRxiv : the preprint server for biology · 2026Article
- Automated long axial field of view PET image processing and kinetic modelling with the TurBO toolbox.European journal of nuclear medicine and molecular imaging · 2026Article
- Dopamine D2/D3 receptor availability and working memory in stimulant use disorder.The American journal of drug and alcohol abuse · 2025Article
- A reference tissue implementation of Simultaneous Multifactor Bayesian Analysis (SiMBA) of PET time activity curve data.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- An In Vivo High-Resolution Human Brain Atlas of Synaptic Density.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- PET KinetiX-A Software Solution for PET Parametric Imaging at the Whole Field of View Level.Journal of imaging informatics in medicine · 2024Article
- Mesocorticolimbic function in cocaine polydrug users: A multimodal study of drug cue reactivity and cognitive regulation.Addiction biology · 2024Article
- PET imaging of the serotonin 1A receptor in major depressive disorder: Hierarchical multivariate analysis of [Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Parametric and non-parametric Poisson regression for modelling of the arterial input function in positron emission tomography.EJNMMI physics · 2023Article
- Multivariate analysis of PET pharmacokinetic parameters improves inferential efficiency.EJNMMI physics · 2023Article
- Simultaneous multifactor Bayesian analysis (SiMBA) of PET time activity curve data.NeuroImage · 2022Article
- Application of positron emission tomography in psychiatry-methodological developments and future directions.Translational psychiatry · 2022Review
- AnFrontiers in neuroscience · 2022Article
- No association between cortical dopamine D2 receptor availability and cognition in antipsychotic-naive first-episode psychosis.NPJ schizophrenia · 2021Article
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4 authors.
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Abstract
backgroundIn positron emission tomography (PET) imaging, binding is typically estimated by fitting pharmacokinetic models to the series of measurements of radioactivity in the target tissue following intravenous injection of a radioligand. However, there are multiple different models to choose from and numerous analytical decisions that must be made when modelling PET data. Therefore, it is important that analysis tools be adapted to the specific circumstances, and that analyses be documented in a transparent manner. Kinfitr, written in the open-source programming language R, is a tool developed for flexible and reproducible kinetic modelling of PET data, i.e. performing all steps using code which can be publicly shared in analysis notebooks. In this study, we compared outcomes obtained using kinfitr with those obtained using PMOD: a widely used commercial tool.
resultsUsing previously collected test-retest data obtained with four different radioligands, a total of six different kinetic models were fitted to time-activity curves derived from different brain regions. We observed good correspondence between the two kinetic modelling tools both for binding estimates and for microparameters. Likewise, no substantial differences were observed in the test-retest reliability estimates between the two tools.
conclusionsIn summary, we showed excellent agreement between the open-source R package kinfitr, and the widely used commercial application PMOD. We, therefore, conclude that kinfitr is a valid and reliable tool for kinetic modelling of PET data.
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