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J Nucl Cardiol. 2018 Jun 19. doi: 10.1007/s12350-018-1326-4. [Epub ahead of print]

Rationale and design of the REgistry of Fast Myocardial Perfusion Imaging with NExt generation SPECT (REFINE SPECT).

Author information

1
Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. A047N, Los Angeles, CA, 90048, USA. Piotr.Slomka@cshs.org.
2
Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. A047N, Los Angeles, CA, 90048, USA.
3
Department of Nuclear Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
4
Department of Nuclear Cardiology, Assuta Medical Centers, Tel Aviv, Israel.
5
Ben Gurion University of the Negev, Beer Sheba, Israel.
6
Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA.
7
Oregon Heart and Vascular Institute, Sacred Heart Medical Center, Springfield, OR, USA.
8
Division of Cardiology, University of Ottawa Heart Institute, Ottawa, ON, Canada.
9
Cardiovascular Imaging Technologies LLC, Kansas City, MO, USA.
10
Division of Cardiology, Department of Medicine, and Department of Radiology, Columbia University Irving Medical Center and New York-Presbyterian Hospital, New York, NY, USA.
11
Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland.
12
Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA.

Abstract

BACKGROUND:

We aim to establish a multicenter registry collecting clinical, imaging, and follow-up data for patients who undergo myocardial perfusion imaging (MPI) with the latest generation SPECT scanners.

METHODS:

REFINE SPECT (REgistry of Fast Myocardial Perfusion Imaging with NExt generation SPECT) uses a collaborative design with multicenter contribution of clinical data and images into a comprehensive clinical-imaging database. All images are processed by quantitative software. Over 290 individual imaging variables are automatically extracted from each image dataset and merged with clinical variables. In the prognostic cohort, patient follow-up is performed for major adverse cardiac events. In the diagnostic cohort (patients with correlating invasive angiography), angiography and revascularization results within 6 months are obtained.

RESULTS:

To date, collected prognostic data include scans from 20,418 patients in 5 centers (57% male, 64.0 ± 12.1 years) who underwent exercise (48%) or pharmacologic stress (52%). Diagnostic data include 2079 patients in 9 centers (67% male, 64.7 ± 11.2 years) who underwent exercise (39%) or pharmacologic stress (61%).

CONCLUSION:

The REFINE SPECT registry will provide a resource for collaborative projects related to the latest generation SPECT-MPI. It will aid in the development of new artificial intelligence tools for automated diagnosis and prediction of prognostic outcomes.

KEYWORDS:

Artificial intelligence; Coronary artery disease; High-efficiency SPECT; Machine learning; Myocardial perfusion imaging; Quantitative analysis; SPECT

PMID:
29923104
PMCID:
PMC6301135
[Available on 2019-12-19]
DOI:
10.1007/s12350-018-1326-4

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