ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2025
The REgistry of Flow and Perfusion Imaging for Artificial Intelligence with positron emission tomography (REFINE PET):Rationale and design.
Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Transient ischemic dilation withJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2026Trial
- Hidden risk in normal myocardial perfusion scans: AI-detected proximal coronary calcium on CT attenuation maps improves prognosis.European journal of nuclear medicine and molecular imaging · 2026Article
- Revisiting Perfusion in the Forgotten Right Ventricle: Artificial Intelligence-Enhanced Quantification on PET/CT.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026Article
- Incremental Prognostic Value of Subendocardial Myocardial Flow Reserve in Patients With Normal Perfusion.Circulation · 2026Article
- Automated AI-Based Aortic Measurements From Attenuation Correction CT as an Adjunctive Cardiovascular Risk Biomarker: An International Multicenter Study.Circulation. Cardiovascular imaging · 2026Article
- Mechanical dyssynchrony and septal-lateral perfusion heterogeneity predict adverse left ventricular remodelling beyond ECG-defined LBBB.European heart journal. Cardiovascular Imaging · 2026Article
- Opportunistic CT Attenuation Biomarkers of Anemia Are Associated With Impaired Myocardial Flow Reserve and Cardiovascular Outcomes.medRxiv : the preprint server for health sciences · 2026Article
- CT Attenuation Map-Derived Body Composition Is Associated with Cardiorespiratory Fitness in Multicenter External Validation.medRxiv : the preprint server for health sciences · 2026Article
- Multicenter Evaluation of Myocardial Flow Reserve as a Prognostic Marker for Mortality inCirculation. Cardiovascular imaging · 2026Article
- Virtual myocardial blood flow and flow reserve from static PET imaging using artificial intelligence.medRxiv : the preprint server for health sciences · 2026Article
- Mechanical Dyssynchrony and Perfusion Heterogeneity Predict Adverse LV Remodeling in Patients with and without LBBB.medRxiv : the preprint server for health sciences · 2026Article
- Age- and Sex-Adjusted Myocardial Flow Reserve Percentiles for Personalized Cardiovascular Risk Assessment.medRxiv : the preprint server for health sciences · 2025Article
- Ejection fraction quantification from ungated chest CT by AI.medRxiv : the preprint server for health sciences · 2025Article
Corrections and comments
- Update of
Authors and funding
29 authors.
Funding
Abstract
backgroundThe REgistry of Flow and Perfusion Imaging for Artificial Intelligence with positron emission tomography (REFINE PET) was established to collect multicenter PET and associated computed tomography (CT) images, together with clinical data and outcomes, into a comprehensive research resource. REFINE-PET will enable validation and development of both standard and novel cardiac PET/CT processing methods.
methodsREFINE-PET is a multicenter, international registry that contains both clinical and imaging data. The PET scans were processed using QPET software (Cedars-Sinai Medical Center, Los Angeles, CA), while the CT scans were processed using deep learning (DL) to detect coronary artery calcium (CAC). Patients were followed up for the occurrence of major adverse cardiovascular events (MACE), which include death, myocardial infarction, unstable angina, and late revascularization (>90 days from PET).
resultsThe REFINE-PET registry currently contains data for 35595 patients from 14 sites, with additional patient data and sites anticipated. Comprehensive clinical data (including demographics, medical history, and stress test results) were integrated with more than 2100 imaging variables across 34 categories. The registry is poised to address a broad range of clinical questions, supported by correlating invasive angiography (within 6 months of PET myocardial perfusion imaging [MPI]) in 5955 patients and a total of 9278 major adverse cardiovascular events during a median follow-up of 4.2 years.
conclusionsThe REFINE-PET registry leverages the integration of clinical, multimodality imaging, and novel quantitative and AI tools to advance the role of PET/CT MPI in diagnosis and risk stratification.
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.