ReviewEJNMMI research2023
An update on the use of image-derived input functions for human PET studies: new hopes or old illusions?
Review in EJNMMI research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
What it found
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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.
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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.
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Who cites it
41 citing papers in PubMed, 58 citations in OpenAlex.
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- 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
- Task-evoked deactivations: dissociation between BOLD fMRI and FDG.bioRxiv : the preprint server for biology · 2026Article
- "Pseudo-reference-based Input Function Shape" (pRef-IFS): Towards a True image-derived input function for PET kinetic modeling.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026Article
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- Network-based disease fingerprinting with neuroinflammation PET imaging.Journal of neuroinflammation · 2026Article
- External validation and time-stability analysis of STARE, a blood-free quantification tool for irreversible PET tracers.bioRxiv : the preprint server for biology · 2026Article
- Ultrasound wrist mapping to develop a noninvasive radiation detector for dynamic positron emission tomography.Scientific reports · 2026Article
- Feasibility of shortening theQuantitative imaging in medicine and surgery · 2026Article
- Eagle eyes on the human brain and beyond: PET at ultra-high spatial resolution.European journal of nuclear medicine and molecular imaging · 2026Article
- Carotid Artery Image-Derived Blood Time-Activity Curves on the NeuroEXPLORER: Initial Multitracer Validation Against Arterial Sampling.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025Article
- Developing a novel reference region for [European journal of nuclear medicine and molecular imaging · 2025Article
- Network-based disease fingerprinting with neuroinflammation PET imaging.Research square · 2025Article
- Long Axial Field of View PET: A New Era of Quantitative PET Imaging for Prospective Applications Beyond Classical Theranostics.PET clinics · 2025Review
- Lower Extremity Flow Quantification Using DynamicIEEE transactions on radiation and plasma medical sciences · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors at 10 institutions in 7 countries.
Funding
Abstract
backgroundThe need for arterial blood data in quantitative PET research limits the wider usability of this imaging method in clinical research settings. Image-derived input function (IDIF) approaches have been proposed as a cost-effective and non-invasive alternative to gold-standard arterial sampling. However, this approach comes with its own limitations-partial volume effects and radiometabolite correction among the most important-and varying rates of success, and the use of IDIF for brain PET has been particularly troublesome. MAIN BODY: This paper summarizes the limitations of IDIF methods for quantitative PET imaging and discusses some of the advances that may make IDIF extraction more reliable. The introduction of automated pipelines (both commercial and open-source) for clinical PET scanners is discussed as a way to improve the reliability of IDIF approaches and their utility for quantitative purposes. Survey data gathered from the PET community are then presented to understand whether the field's opinion of the usefulness and validity of IDIF is improving. Finally, as the introduction of next-generation PET scanners with long axial fields of view, ultra-high sensitivity, and improved spatial and temporal resolution, has also brought IDIF methods back into the spotlight, a discussion of the possibilities offered by these state-of-the-art scanners-inclusion of large vessels, less partial volume in small vessels, better description of the full IDIF kinetics, whole-body modeling of radiometabolite production-is included, providing a pathway for future use of IDIF.
conclusionImprovements in PET scanner technology and software for automated IDIF extraction may allow to solve some of the major limitations associated with IDIF, such as partial volume effects and poor temporal sampling, with the exciting potential for accurate estimation of single kinetic rates. Nevertheless, until individualized radiometabolite correction can be performed effectively, IDIF approaches remain confined at best to a few tracers.
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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 OpenQuestion graph.