ArticleEuropean journal of nuclear medicine and molecular imaging2024
Validation of cardiac image-derived input functions for functional PET quantification.
Article in European journal of nuclear medicine and molecular imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06675851 (Reward-specific Changes of Cerebral Dopamine Synthesis in Healthy Volunteers and Depressed Patients), which is not on this map. Cited by 3 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.
The trial behind it
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.
Reward-specific Changes of Cerebral Dopamine Synthesis in Healthy Volunteers and Depressed Patients
Who cites it
3 citing papers in PubMed, 7 citations in OpenAlex.
- Network-specific metabolic cost of functional connectivity in the human brain.bioRxiv : the preprint server for biology · 2026Article
- Optimal filtering strategies for task-specific functional PET imaging.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2025Article
- Validating image-derived input functions of dynamicFrontiers in nuclear medicine · 2025Article
Corrections and comments
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Authors and funding
15 authors at 1 institution in 1 country.
Funding
Abstract
purposeFunctional PET (fPET) is a novel technique for studying dynamic changes in brain metabolism and neurotransmitter signaling. Accurate quantification of fPET relies on measuring the arterial input function (AIF), traditionally achieved through invasive arterial blood sampling. While non-invasive image-derived input functions (IDIF) offer an alternative, they suffer from limited spatial resolution and field of view. To overcome these issues, we developed and validated a scan protocol for brain fPET utilizing cardiac IDIF, aiming to mitigate known IDIF limitations.
methodsTwenty healthy individuals underwent fPET/MR scans using [
resultsFor both radiotracer cohorts, moderate to high agreement (r: 0.60-0.89) between IDIFs and AIF for both radiotracer cohorts was observed, with further improvement (r: 0.87-0.93) for composite IDIFs (3VOI and 3VOIVB). Both methods showed equivalent quantitative values and high agreement (r: 0.975-0.998) with AIF-derived measurements.
conclusionOur proposed protocol enables accurate non-invasive estimation of the input function with full quantification of task-specific changes, addressing the limitations of IDIF for brain imaging by sampling larger blood pools over the thorax. These advancements increase applicability to any PET scanner and clinical research setting by reducing experimental complexity and increasing patient comfort.
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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.