ArticleJournal of nuclear medicine : official publication, Society of Nuclear Medicine2024
The Updated Registry of Fast Myocardial Perfusion Imaging with Next-Generation SPECT (REFINE SPECT 2.0).
Abstract readMulticenter Study
In one paragraph
Article in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
What it found
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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
17 citing papers in PubMed.
- General Purpose Deep Learning Attenuation Correction Improves Diagnostic Accuracy of SPECT MPI: A Multicenter Study.JACC. Cardiovascular imaging · 2025Trial
- 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
- Beyond BMI: an interpretable integrated body composition index from low-dose chest CT for all-cause mortality risk stratification: a multicentre study.medRxiv : the preprint server for health sciences · 2026Article
- Cross-Domain Knowledge Transfer from Expert-Annotated Gated CT via Synthetic Ungated CT Improves Coronary Artery Calcium Scoring on CT Attenuation Correction Scans.medRxiv : the preprint server for health sciences · 2026Article
- Automated AI-Based Aortic Measurements From Attenuation Correction CT as an Adjunctive Cardiovascular Risk Biomarker: An International Multicenter Study.Circulation. Cardiovascular imaging · 2026Article
- CT Attenuation Map-Derived Body Composition Is Associated with Cardiorespiratory Fitness in Multicenter External Validation.medRxiv : the preprint server for health sciences · 2026Article
- Risk stratification with pre-operative myocardial perfusion imaging.European journal of nuclear medicine and molecular imaging · 2026Article
- Phase entropy of gated SPECT-MPI for predicting major adverse cardiovascular events: incremental prognostic value beyond perfusion and function.Frontiers in cardiovascular medicine · 2026Article
- Prognostication and clinical opportunities with AI for coronary artery calcium: a scoping review.BMJ digital health & AI · 2026Article
- Integrating perfusion with AI-derived coronary calcium on CT attenuation scans to improve selection of low-risk studies for stress-only SPECT myocardial perfusion imaging.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2025Article
- Reassessing Cardiovascular Risk in Patients With Peripheral Artery Disease Undergoing Myocardial Perfusion Imaging.The Canadian journal of cardiology · 2025Observational
- The REgistry of Flow and Perfusion Imaging for Artificial Intelligence with positron emission tomography (REFINE PET):Rationale and design.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2025Article
- Artificial Intelligence in Nuclear Cardiology.Journal of clinical medicine · 2025Review
- AI-based identification of patients who benefit from revascularization: a multicenter study.medRxiv : the preprint server for health sciences · 2025Article
- Artificial Intelligence-Enhanced Perfusion Scoring Improves the Diagnostic Accuracy of Myocardial Perfusion Imaging.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025Article
- Artificial Intelligence in Nuclear Cardiac Imaging: Novel Advances, Emerging Techniques, and Recent Clinical Trials.Journal of clinical medicine · 2025Review
- The Relationship Between Quantitative Ischemia, Early Revascularization, and Major Adverse Cardiovascular Events: A Multicenter Study.JACC. Advances · 2025Article
Corrections and comments
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Authors and funding
25 authors.
Robert J H MillerDivision of Artificial Intelligence in Medicine, Departments of Medicine, Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, Los Angeles, California.
Mark LemleyDivision of Artificial Intelligence in Medicine, Departments of Medicine, Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, Los Angeles, California.
Aakash ShanbhagDivision of Artificial Intelligence in Medicine, Departments of Medicine, Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, Los Angeles, California.
Giselle RamirezDivision of Artificial Intelligence in Medicine, Departments of Medicine, Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, Los Angeles, California.
Joanna X LiangDivision of Artificial Intelligence in Medicine, Departments of Medicine, Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, Los Angeles, California.
Valerie BuiloffDivision of Artificial Intelligence in Medicine, Departments of Medicine, Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, Los Angeles, California.
Paul KavanaghDivision of Artificial Intelligence in Medicine, Departments of Medicine, Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, Los Angeles, California.
Tali SharirDepartment of Nuclear Cardiology, Assuta Medical Centers, Tel Aviv, Israel, and Ben Gurion University of the Negev, Beer Sheba, Israel.
M Timothy HauserDepartment of Nuclear Cardiology, Oklahoma Heart Hospital, Oklahoma City, Oklahoma.
Terrence D RuddyDivision of Cardiology, University of Ottawa Heart Institute, Ottawa, Ontario, Canada.
Mathews B FishOregon Heart and Vascular Institute, Sacred Heart Medical Center, Springfield, Oregon.
Timothy M BatemanCardiovascular Imaging Technologies LLC, Kansas City, Missouri.
Wanda AcampaDepartment of Advanced Biomedical Sciences, University of Naples, Naples, Italy.
Andrew J EinsteinDivision of Cardiology, Department of Medicine, and Department of Radiology, Columbia University Irving Medical Center and New York-Presbyterian Hospital, New York, New York.
Sharmila DorbalaDivision of Nuclear Medicine and Molecular Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts.
Marcelo F Di CarliDivision of Nuclear Medicine and Molecular Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts.
Attila FeherSection of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut.
Edward J MillerSection of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut.
Albert J SinusasSection of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut.
Julian HalcoxSwansea University Medical School, Swansea University, Swansea, United Kingdom; and.
Monica MartinsSwansea University Medical School, Swansea University, Swansea, United Kingdom; and.
Philipp A KaufmannCardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland.
Damini DeyDivision of Artificial Intelligence in Medicine, Departments of Medicine, Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, Los Angeles, California.
Daniel S BermanDivision of Artificial Intelligence in Medicine, Departments of Medicine, Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, Los Angeles, California.
Piotr J SlomkaDivision of Artificial Intelligence in Medicine, Departments of Medicine, Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, Los Angeles, California; piotr.slomka@cshs.org.
Funding
Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9MPatient-specific Outcome Prediction from Cardiovascular Multimodality Imaging by Artificial IntelligenceR35HL161195 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI Piotr J Slomka · 2022 to 2026
$5.0MNCATS NIH HHS UL1 TR001863NHLBI NIH HHS R35 HL161195
Abstract
The Registry of Fast Myocardial Perfusion Imaging with Next-Generation SPECT (REFINE SPECT) has been expanded to include more patients and CT attenuation correction imaging. We present the design and initial results from the updated registry.
Indexed as
Myocardial Perfusion ImagingRegistriesTomography, Emission-Computed, Single-PhotonAgedCoronary Artery DiseaseFemaleHumansImage Processing, Computer-AssistedMaleMiddle Agedartificial intelligencecoronary artery diseasemyocardial perfusion imagingquantitative analysissolid-state detectorSPECT
Identifiers
What OpenQuestion holds
Textmetadata
Read underepoch 390
Registered trials
None linked
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.