ArticleRadiology2019
The Dawn of a New Era in Low-Dose PET Imaging.
Article in Radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
19 citing papers in PubMed.
- Performance of detector modules designed for the NeuroSphere brain PET system.Medical physics · 2026Article
- Assessing PET-CT versus conventional CT: a meta-analysis on diagnostic efficacy, prognosis, and post-surgical wound healing in lung mucosal marginal zone lymphoma.Frontiers in oncology · 2026Article
- Correlation and Interchangeability of Amyloid, Tau, and Glucose Metabolism PET in Mild Cognitive Impairment and Alzheimer: A Review.Brain sciences · 2025Review
- Non-parametric Bayesian deep learning approach for whole-body low-dose PET reconstruction and uncertainty assessment.Medical & biological engineering & computing · 2025Article
- Ultra-low dose immunoPET usingFrontiers in medicine · 2025Article
- Radiation image reconstruction and uncertainty quantification using a Gaussian process prior.Scientific reports · 2024Article
- Full-dose whole-body PET synthesis from low-dose PET using high-efficiency denoising diffusion probabilistic model: PET consistency model.Medical physics · 2024Article
- Deep learning generation of preclinical positron emission tomography (PET) images from low-count PET with task-based performance assessment.Medical physics · 2024Article
- LowQuantitative imaging in medicine and surgery · 2024Article
- SMART-PET: a Self-SiMilARiTy-aware generative adversarial framework for reconstructing low-count [18F]-FDG-PET brain imaging.Frontiers in nuclear medicine · 2024Article
- High-quality PET image synthesis from ultra-low-dose PET/MRI using bi-task deep learning.Quantitative imaging in medicine and surgery · 2022Article
- Evaluation of a High-Sensitivity Organ-Targeted PET Camera.Sensors (Basel, Switzerland) · 2022Article
- Positron emission tomography in multiple sclerosis - straight to the target.Nature reviews. Neurology · 2021Review
- Task-evoked simultaneous FDG-PET and fMRI data for measurement of neural metabolism in the human visual cortex.Scientific data · 2021Article
- Machine learning in quantitative PET: A review of attenuation correction and low-count image reconstruction methods.Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) · 2020Review
- State of the art in total body PET.EJNMMI physics · 2020Review
- [Artificial intelligence in hybrid imaging].Der Radiologe · 2020Review
- Reduction of the fluorine-18-labeled fluorodeoxyglucose dose for clinically dedicated breast positron emission tomography.EJNMMI physics · 2019Article
- Development of Dedicated Brain PET Imaging Devices: Recent Advances and Future Perspectives.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2019Review
Corrections and comments
- Comment onUltra-Low-Dose2019
Authors and funding
1 author.
Funding
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
30526357What OpenQuestion holds
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.