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

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Journal of Nuclear Cardiology Aims and scope

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.

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Abbreviations

BMI:

Body mass index

CABG:

Coronary artery bypass grafting

CAD:

Coronary artery disease

CZT:

Cadmium zinc telluride

EF:

Ejection fraction

ICA:

Invasive coronary angiography

MACE:

Major adverse cardiac events

MI:

Myocardial infarction

MPI:

Myocardial perfusion imaging

PCI:

Percutaneous coronary intervention

SPECT:

Single-photon emission computed tomography

TPD:

Total perfusion deficit

References

  1. Lloyd-Jones D, Adams R, Carnethon M, De Simone G, Ferguson TB, Flegal K, et al. Heart disease and stroke statistics—2009 update: A report from the American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Circulation. 2009;119:480–6.

    Article  Google Scholar 

  2. RC Team. R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing; 2017.

    Google Scholar 

  3. Amsterdam EA, Wenger NK, Brindis RG, Casey DE, Ganiats TG, Holmes DR, et al. 2014 AHA/ACC guideline for the management of patients with non-ST-elevation acute coronary syndromes. A report of the American College of Cardiology/American Heart Association Task Force on practice guidelines. J Am Coll Cardiol. 2014;130:e344–426.

    Google Scholar 

  4. Thygesen K, Alpert JS, Jaffe AS, Simoons ML, Chaitman BR, White HD. Third universal definition of myocardial infarction. Circulation. 2012;126:2020–35.

    Article  Google Scholar 

  5. van Dijk JD, Mouden M, Ottervanger JP, van Dalen JA, Knollema S, Slump CH, et al. Value of attenuation correction in stress-only myocardial perfusion imaging using CZT-SPECT. J Nucl Cardiol. 2017;24:395–401.

    Article  Google Scholar 

  6. Cerqueira MD, Weissman NJ, Dilsizian V, Jacobs AK, Kaul S, Laskey WK, et al. Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart. A statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association. Circulation. 2002;105:539–42.

    Article  Google Scholar 

  7. Xu Y, Kavanagh P, Fish M, Gerlach J, Ramesh A, Lemley M, et al. Automated quality control for segmentation of myocardial perfusion SPECT. J Nucl Med. 2009;50:1418–26.

    Article  Google Scholar 

  8. Nakazato R, Tamarappoo BK, Kang X, Wolak A, Kite F, Hayes SW, et al. Quantitative upright-supine high-speed SPECT myocardial perfusion imaging for detection of coronary artery disease: Correlation with invasive coronary angiography. J Nucl Med. 2010;51:1724–31.

    Article  Google Scholar 

  9. Slomka PJ, Nishina H, Berman DS, Akincioglu C, Abidov A, Friedman JD, et al. Automated quantification of myocardial perfusion SPECT using simplified normal limits. J Nucl Cardiol. 2005;12:66–77.

    Article  Google Scholar 

  10. Gambhir SS, Berman DS, Ziffer J, Nagler M, Sandler M, Patton J, et al. A novel high-sensitivity rapid-acquisition single-photon cardiac imaging camera. J Nucl Med. 2009;50:635–43.

    Article  Google Scholar 

  11. Herzog BA, Buechel RR, Katz R, Brueckner M, Husmann L, Burger IA, et al. Nuclear myocardial perfusion imaging with a cadmium-zinc-telluride detector technique: Optimized protocol for scan time reduction. J Nucl Med. 2010;51:46–51.

    Article  Google Scholar 

  12. Henzlova MJ, Duvall WL, Einstein AJ, Travin MI, Verberne HJ. ASNC imaging guidelines for SPECT nuclear cardiology procedures: Stress, protocols, and tracers. J Nucl Cardiol. 2016;23:606–39.

    Article  Google Scholar 

  13. Betancur J, Commandeur F, Motlagh M, Sharir T, Einstein AJ, Bokhari S, et al. Deep learning for prediction of obstructive disease from fast myocardial perfusion SPECT: A multicenter study. JACC Cardiovasc Imaging. 2018. https://doi.org/10.1016/j.jcmg.2018.01.020.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Tonino PA, Fearon WF, De Bruyne B, Oldroyd KG, Leesar MA, Ver Lee PN, et al. Angiographic versus functional severity of coronary artery stenoses in the FAME study fractional flow reserve versus angiography in multivessel evaluation. J Am Coll Cardiol. 2010;55:2816–21.

    Article  Google Scholar 

  15. Lauer MS, Blackstone EH, Young JB, Topol EJ. Cause of death in clinical research: Time for a reassessment? J Am Coll Cardiol. 1999;34:618–20.

    Article  CAS  Google Scholar 

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Acknowledgments

This research was supported in part by Grant R01HL089765 from the National Heart, Lung, and Blood Institute/National Institutes of Health (NHLBI/NIH) (PI: Piotr Slomka). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Disclosures

Drs. Germano, Berman, and Slomka participate in software royalties for QPS software at Cedars-Sinai Medical Center. Dr. Slomka has received research grant support from Siemens Medical Systems. Drs. Berman, Dorbala, Einstein, and Miller have served as consultants for GE Healthcare. Dr. Dorbala has served as a consultant to Bracco Diagnostics; her institution has received grant support from Astellas. Dr. Di Carli has received research grant support from Spectrum Dynamics and consulting honoraria from Sanofi and GE Healthcare. Dr. Ruddy has received research grant support from GE Healthcare and Advanced Accelerator Applications. Dr. Einstein and his institution has received research support from GE Healthcare, Philips Healthcare and Toshiba America Medical Systems. Dr. Miller has served as a consultant for Bracco Inc; and he and his institution has received grant support from Bracco Inc. Dr. Berman’s institution has received grant support from HeartFlow. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose.

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Correspondence to Piotr J. Slomka PhD.

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Slomka, P.J., Betancur, J., Liang, J.X. et al. Rationale and design of the REgistry of Fast Myocardial Perfusion Imaging with NExt generation SPECT (REFINE SPECT). J. Nucl. Cardiol. 27, 1010–1021 (2020). https://doi.org/10.1007/s12350-018-1326-4

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