ArticlePhysics in medicine and biology2021
Quantitative PET in the 2020s: a roadmap.
Article in Physics in medicine and biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
40 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The historical progression of positron emission tomography research in neuroendocrinology.Frontiers in neuroendocrinology · 2023Pooled it
- SPECT and PET imaging of Alzheimer's disease revisited: from biomarkers to artificial intelligence-based prediction.Annals of nuclear medicine · 2026Review
- Impact of Oxidative Stress-Driven Ferroptosis in Neurodegeneration.International journal of molecular sciences · 2026Review
- The Current Landscape of Artificial Intelligence in Positron Emission Tomography (PET) Imaging Across the Cancer Continuum.Journal of clinical medicine · 2026Review
- Repeatability of Semi-Quantitative and Volumetric Features from Artificial-Intelligence-Guided Lesion Segmentation onTomography (Ann Arbor, Mich.) · 2026Article
- On the effect of reference and sample volume on magnetic particle imaging quantification.Journal of magnetism and magnetic materials · 2025Article
- Review of GPU-based Monte Carlo simulation platforms for transmission and emission tomography in medicine.Physics in medicine and biology · 2025Review
- Prognostic Values of Thalamic Metabolic Abnormalities in Children with Epilepsy.Diagnostics (Basel, Switzerland) · 2025Article
- Model selection for dynamic PET compartmental modelling ofEJNMMI research · 2025Article
- Total-body positron emission tomography imaging to accelerate radiotracer discovery pipelines.Pharmacological reviews · 2025Review
- Open-source phantom with dedicated in-house software for image quality assurance in hybrid PET systems.EJNMMI physics · 2025Article
- Usefulness of a new anthropomorphic phantom simulating the chest and abdomen regions in PET tests.Annals of nuclear medicine · 2025Article
- Translation of PET radiotracers for cancer imaging: recommendations from the National Cancer Imaging Translational Accelerator (NCITA) consensus meeting.BMC medicine · 2025Article
- Development of Whole-Body TOF-DOI PET Detector Using Dual-Ended Readout Method.IEEE transactions on instrumentation and measurement · 2025Article
- A Methodology to Measure Glucose Metabolism by Quantitative Analysis of PET Images.Journal of healthcare informatics research · 2024Article
- Quantitative analysis of patient motion in walk-through PET scanner and standard axial field of view pet scanner using infrared-based tracking.EJNMMI physics · 2024Article
- Development of quantitative PET/MR imaging for measurements of hepatic portal vein input function: a phantom study.EJNMMI physics · 2024Article
- Optimization and impact of sensitivity mode on abbreviated scan protocols with population-based input function for parametric imaging of [European journal of nuclear medicine and molecular imaging · 2024Article
- Whole-Body SPECT/CT: Protocol Variation and Technical Consideration-A Narrative Review.Diagnostics (Basel, Switzerland) · 2024Review
- The brain's "dark energy" puzzle: How strongly is glucose metabolism linked to resting-state brain activity?Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024Article
Corrections and comments
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Authors and funding
32 authors.
Funding
Abstract
Positron emission tomography (PET) plays an increasingly important role in research and clinical applications, catalysed by remarkable technical advances and a growing appreciation of the need for reliable, sensitive biomarkers of human function in health and disease. Over the last 30 years, a large amount of the physics and engineering effort in PET has been motivated by the dominant clinical application during that period, oncology. This has led to important developments such as PET/CT, whole-body PET, 3D PET, accelerated statistical image reconstruction, and time-of-flight PET. Despite impressive improvements in image quality as a result of these advances, the emphasis on static, semi-quantitative 'hot spot' imaging for oncologic applications has meant that the capability of PET to quantify biologically relevant parameters based on tracer kinetics has not been fully exploited. More recent advances, such as PET/MR and total-body PET, have opened up the ability to address a vast range of new research questions, from which a future expansion of applications and radiotracers appears highly likely. Many of these new applications and tracers will, at least initially, require quantitative analyses that more fully exploit the exquisite sensitivity of PET and the tracer principle on which it is based. It is also expected that they will require more sophisticated quantitative analysis methods than those that are currently available. At the same time, artificial intelligence is revolutionizing data analysis and impacting the relationship between the statistical quality of the acquired data and the information we can extract from the data. In this roadmap, leaders of the key sub-disciplines of the field identify the challenges and opportunities to be addressed over the next ten years that will enable PET to realise its full quantitative potential, initially in research laboratories and, ultimately, in clinical practice.
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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.