ArticleEJNMMI research2016
Quantification of myocardial blood flow with (82)Rb: Validation with (15)O-water using time-of-flight and point-spread-function modeling.
Article in EJNMMI research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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
24 citing papers in PubMed.
- Noise-aware dynamic image denoising and positron range correction for Rubidium-82 cardiac PET imaging via self-supervision.Medical image analysis · 2025Article
- TAI-GAN: A Temporally and Anatomically Informed Generative Adversarial Network for early-to-late frame conversion in dynamic cardiac PET inter-frame motion correction.Medical image analysis · 2024Article
- TAI-GAN: Temporally and Anatomically Informed GAN for Early-to-Late Frame Conversion in Dynamic Cardiac PET Motion Correction.Simulation and synthesis in medical imaging : ... International Workshop, SASHIMI ..., held in conjunction with MICCAI ..., proceedings. SASHIMI (Workshop) · 2023Article
- A retrospective evaluation of Bayesian-penalized likelihood reconstruction for [Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023Article
- Anti-inflammatory effect of biologic therapy in patients with psoriatic disease: A prospective cohort FDG PET study.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023Article
- Non-invasive diagnosis of vasospastic angina.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023Review
- Principles of Tracer Kinetic Analysis in Oncology, Part II: Examples and Future Directions.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022Article
- Papillary muscle ischemia and myocardial blood flow on N13-ammonia positron emission tomography myocardial perfusion imaging.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022Article
- Automatic Inter-Frame Patient Motion Correction for Dynamic Cardiac PET Using Deep Learning.IEEE transactions on medical imaging · 2021Article
- Clinical Validation of the Accuracy of Absolute Myocardial Blood Flow Quantification with Dual-Source CT UsingRadiology. Cardiothoracic imaging · 2021Article
- Dynamic phantoms: Making the right tool for the job.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021Article
- Quantification of myocardial blood flow (MBF) and reserve (MFR) incorporated with a novel segmentation approach: Assessments of quantitative precision and the lower limit of normal MBF and MFR in patients.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021Article
- Evaluation of quantitative CMR perfusion imaging by comparison with simultaneousJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021Article
- The Importance of Time-of-Flight Reconstruction and Point Spread Modeling in the Measurement of Myocardial Blood Flow Parameters.Current cardiology reports · 2021Review
- Estimation of renal perfusion based on measurement of rubidium-82 clearance by PET/CT scanning in healthy subjects.EJNMMI physics · 2021Article
- Rubidium-82 PET imaging is feasible in a rat myocardial infarction model.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2019Article
- Quantification of PET Myocardial Blood Flow.Current cardiology reports · 2019Review
- Time-of-flight in cardiac PET/TC: What do we know and what we should know?Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2018Article
- The continual innovation of commercial PET/CT solutions in nuclear cardiology: Siemens Healthineers.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2018Article
- Myocardial perfusion in patients with non-ischaemic systolic heart failure and type 2 diabetes: a cross-sectional study using Rubidium-82 PET/CT.The international journal of cardiovascular imaging · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
backgroundWe quantified myocardial blood flow with (82)Rb PET using parameters of the generalized Renkin-Crone model estimated from (82)Rb and (15)O-water images reconstructed with time-of-flight and point spread function modeling. Previous estimates of rubidium extraction have used older-generation scanners without time-of-flight or point spread function modeling. We validated image-derived input functions with continuously collected arterial samples.
methodsNine healthy subjects were scanned at rest and under pharmacological stress on the Siemens Biograph mCT with (82)Rb and (15)O-water PET, undergoing arterial blood sampling with each scan. Image-derived input functions were estimated from the left ventricle cavity and corrected with tracer-specific population-based scale factors determined from arterial data. Kinetic parametric images were generated from the dynamic PET images by fitting the one-tissue compartment model to each voxel's time activity curve. Mean myocardial blood flow was determined from each subject's (15)O-water k 2 images. The parameters of the generalized Renkin-Crone model were estimated from these water-based flows and mean myocardial (82)Rb K 1 estimates.
resultsImage-derived input functions showed improved agreement with arterial measurements after a scale correction. The Renkin-Crone model fit (a = 0.77, b = 0.39) was similar to those previously published, though b was lower.
conclusionsWe have presented parameter estimates for the generalized Renkin-Crone model of extraction for (82)Rb PET using human (82)Rb and (15)O-water PET from high-resolution images using a state-of-the-art time-of-flight-capable scanner. These results provide a state-of-the-art methodology for myocardial blood flow measurement with (82)Rb PET.
Indexed as
Identifiers
What 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.