ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2017
Effect of Bayesian-penalized likelihood reconstruction on [13N]-NH3 rest perfusion quantification.
Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 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
10 citing papers in PubMed, 16 citations in OpenAlex.
- Innovations in clinical PET image reconstruction: advances in Bayesian penalized likelihood algorithm and deep learning.Annals of nuclear medicine · 2025Review
- A retrospective evaluation of Bayesian-penalized likelihood reconstruction for [Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023Article
- Influence of image reconstruction on quantitative cardiacJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023Article
- New PET technologies - embracing progress and pushing the limits.European journal of nuclear medicine and molecular imaging · 2021Article
- Performance evaluation of the Q.Clear reconstruction framework versus conventional reconstruction algorithms for quantitative brain PET-MR studies.EJNMMI physics · 2021Article
- Optimization of a Bayesian penalized likelihood algorithm (Q.Clear) forEJNMMI physics · 2020Article
- Development and validation of the Lesion Synthesis Toolbox and the Perception Study Tool for quantifying observer limits of detection of lesions in positron emission tomography.Journal of medical imaging (Bellingham, Wash.) · 2020Article
- How Do the More Recent Reconstruction Algorithms Affect the Interpretation Criteria of PET/CT Images?Nuclear medicine and molecular imaging · 2019Article
- Standard OSEM vs. regularized PET image reconstruction: qualitative and quantitative comparison using phantom data and various clinical radiopharmaceuticals.American journal of nuclear medicine and molecular imaging · 2018Article
- How to reconstruct dynamic cardiac PET data?Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2017Article
Corrections and comments
- Commented on by
- Erratum issued
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
abstact
objectivesMyocardial blood flow (MBF) imaging is used in patients with suspected cardiac sarcoidosis, and also in stress/rest studies. The accuracy of MBF is dependent on imaging parameters such as new reconstruction methodologies. In this work, we aim to assess the impact of a novel PET reconstruction algorithm (Bayesian-penalized likelihood-BPL) on the values determined from the calculation of [13N]-NH3 MBF values.
methodsData from 21 patients undergoing rest MBF evaluation [13N]-NH3 as part of sarcoidosis imaging were retrospectively analyzed. Each scan was reconstructed with a range of BPL coefficients (1-500), and standard clinical FBP and OSEM reconstructions. MBF values were calculated via an automated software routine for all datasets.
resultsReconstruction of [13N]-NH3 dynamic data using the BPL, OSEM, or FBP reconstruction showed no quantitative differences for the calculation of territorial or global MBF (P = .97). Image noise was lower using OSEM or BPL reconstructions than FBP and noise from BPL reached levels seen in OSEM images between B = 300 and B = 400. Intrasubject differences between all reconstructions over all patients in respect of all cardiac territories showed a maximum coefficient of variation of 9.74%.
conclusionQuantitation of MBF via kinetic modeling of cardiac rest MBF by [13N]-NH3 is minimally affected by the use of a BPL reconstruction technique, with BPL images presenting with less noise.
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.