ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2012
Automated quantitative Rb-82 3D PET/CT myocardial perfusion imaging: normal limits and correlation with invasive coronary angiography.
Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.
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Who cites it
54 citing papers in PubMed.
- Subendocardial quantification enhances coronary artery disease detection inEuropean journal of nuclear medicine and molecular imaging · 2025Trial
- Improved myocardial blood flow estimation with residual activity correction and motion correction inEuropean journal of nuclear medicine and molecular imaging · 2022Trial
- 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
- Fully automatic left ventricle segmentation in [Formula: see text]Rb PET/CT Using a semi-supervised nnU-net.EJNMMI research · 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
- Multicenter Evaluation of Myocardial Flow Reserve as a Prognostic Marker for Mortality inCirculation. Cardiovascular imaging · 2026Article
- Artificial Intelligence in Cardiovascular Imaging: From Automated Acquisition to Precision Diagnostics and Clinical Decision Support.Medical sciences (Basel, Switzerland) · 2026Review
- Virtual myocardial blood flow and flow reserve from static PET imaging using artificial intelligence.medRxiv : the preprint server for health sciences · 2026Article
- Data-Driven Motion Correction Algorithm: Validation in [Journal of clinical medicine · 2026Article
- Multicenter evaluation of interpretable AI for coronary artery disease diagnosis from PET biomarkers.NPJ digital medicine · 2026Article
- The role of nuclear imaging in detection of coronary artery disease: a comprehensive review.American journal of translational research · 2026Review
- Age- and Sex-Adjusted Myocardial Flow Reserve Percentiles for Personalized Cardiovascular Risk Assessment.medRxiv : the preprint server for health sciences · 2025Article
- A foundation transformer model with self-supervised learning for ECG-based assessment of cardiac and coronary function.NEJM AI · 2025Article
- Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2025Article
- Deep Learning-Derived Cardiac Chamber Volumes and Mass From PET/CT Attenuation Scans: Associations With Myocardial Flow Reserve and Heart Failure.Circulation. Cardiovascular imaging · 2025Article
- Deep learning-quantified body composition from positron emission tomography/computed tomography and cardiovascular outcomes: a multicentre study.European heart journal · 2025Article
- AI-enabled CT-guided end-to-end quantification of total cardiac activity in 18FDG cardiac PET/CT for detection of cardiac sarcoidosis.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2025Article
- Inter-Software Reproducibility of Quantitative Values of Myocardial Blood Flow and Coronary Flow Reserve Acquired by [Diagnostics (Basel, Switzerland) · 2025Article
- Positron Range Correction Helps Enhance the Image Quality of CardiacJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025Article
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Authors and funding
11 authors.
Funding
Abstract
backgroundWe aimed to characterize normal limits and to determine the diagnostic accuracy for an automated quantification of 3D 82-Rubidium (Rb-82) PET/CT myocardial perfusion imaging (MPI).
methodsWe studied 125 consecutive patients undergoing Rb-82 PET/CT MPI, including patients with suspected coronary artery disease (CAD) and invasive coronary angiography, and 42 patients with a low likelihood (LLk) of CAD. Normal limits for perfusion and function were derived from LLk patients. QPET software was used to quantify perfusion abnormality at rest and stress expressed as total perfusion deficit (TPD).
resultsRelative perfusion databases did not differ in any of the 17 segments between males and females. The areas under the receiver operating characteristic curve for detection of CAD were 0.86 for identification of ≥50% and ≥70% stenosis. The sensitivity/specificity was 86%/86% for detecting ≥50% stenosis and 93%/77% for ≥70% stenosis, respectively. In regard to normal limits, mean rest and stress left ventricular ejection fraction (LVEF) were 67% ± 10% and 75% ± 9%, respectively. Mean transient ischemic dilation ratio was 1.06 ± 0.14 and mean increase in LVEF with stress was 7.4% ± 6.1% (95th percentile of 0%).
conclusionNormal limits have been established for 3D Rb-82 PET/CT analysis with QPET software. Fully automated quantification of myocardial perfusion PET data shows high diagnostic accuracy for detecting obstructive CAD.
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