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Journal of Nuclear Cardiology

, Volume 26, Issue 1, pp 348–351 | Cite as

What does the future hold for nuclear cardiology?

  • Rob S. B. BeanlandsEmail author
ASNC PRESIDENT’S MESSAGE
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Notes

Acknowledgments

RSBB is a career investigator supported by the Heart and Stroke Foundation of Ontario, a Tier 1 Research Chair supported by the University of Ottawa, and the University of Ottawa Heart Institute Vered Chair in Cardiology.

Disclosure

RSBB has received research grant support and honoraria from Lantheus Medical Imaging, Jubilant DraxImage and GE Healthcare.

References

  1. 1.
    Al’Aref SJ, Anchouche K, Singh G, Slomka PJ, Kolli KK, Kumar A, Pandey M, Maliakal G, van Rosendael AR, Beecy AN, Berman DS, Leipsic J, Nieman K, Andreini D, Pontone G, Schoepf UJ, Shaw LJ, Chang HJ, Narula J, Bax JJ, Guan Y, Min JK. Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging. Eur Heart J. 2018. doi:  https://doi.org/10.1093/eurheartj/ehy404
  2. 2.
    Betancur J, Commandeur F, Motlagh M, Sharir T, Einstein AJ, Bokhari S, Fish MB, Ruddy TD, Kaufmann P, Sinusas AJ, Miller EJ, Bateman TM, Dorbala S, Di Carli M, Germano G, Otaki Y, Tamarappoo BK, Dey D, Berman DS, Slomka PJ. Deep learning for prediction of obstructive disease from fast myocardial perfusion SPECT: a multicenter study. JACC Cardiovasc Imaging. 2018;11(11):1654–63.CrossRefGoogle Scholar
  3. 3.
    Tonino PA, De Bruyne B, Pijls NH, Siebert U, Ikeno F, van’ t Veer M, Klauss V, Manoharan G, Engstrøm T, Oldroyd KG, Ver Lee PN, MacCarthy PA, Fearon WF; FAME Study Investigators. Fractional flow reserve versus angiography for guiding percutaneous coronary intervention. N Engl J Med. 2009;360(3):213-24Google Scholar
  4. 4.
    deKemp RA, Wells RG, Ruddy TD. SPECT quantification of myocardial blood flow: a journey of a thousand miles begins with a single step (Lao Tzu, Chinese philosopher, 604-531 BC). J Nucl Cardiol. 2017. doi:  https://doi.org/10.1007/s12350-017-1106-6
  5. 5.
    Tarkin JM, Joshi FR, Evans NR, Chowdhury MM, Figg NL, Shah AV, Starks LT, Martin-Garrido A, Manavaki R, Yu E, Kuc RE, Grassi L, Kreuzhuber R, Kostadima MA, Frontini M, Kirkpatrick PJ, Coughlin PA, Gopalan D, Fryer TD, Buscombe JR, Groves AM, Ouwehand WH, Bennett MR, Warburton EA, Davenport AP, Rudd JH. Detection of Atherosclerotic Inflammation by 68Ga-DOTATATE PET Compared to [18F]FDG PET Imaging. J Am Coll Cardiol. 2017;69(14):1774–91.CrossRefPubMedCentralGoogle Scholar
  6. 6.
    Ridker PM, Everett BM, Thuren T, MacFadyen JG, Chang WH, Ballantyne C, Fonseca F, Nicolau J, Koenig W, Anker SD, Kastelein JJP, Cornel JH, Pais P, Pella D, Genest J, Cifkova R, Lorenzatti A, Forster T, Kobalava Z, Vida-Simiti L, Flather M, Shimokawa H, Ogawa H, Dellborg M, Rossi PRF, Troquay RPT, Libby P, Glynn RJ; CANTOS Trial Group. Antiinflammatory therapy with canakinumab for atherosclerotic disease. N Engl J Med. 2017;377(12):1119-31.Google Scholar
  7. 7.
    Shaw LJ, Blankstein R, Jacobs JE, Leipsic JA, Kwong RY, Taqueti VR, Beanlands RSB, Mieres JH, Flamm SD, Gerber TC, Spertus J, Di Carli MF; Defining Quality in Cardiovascular Imaging: A Scientific Statement From the American Heart Association. American Heart Association Cardiovascular Imaging and Intervention Subcommittee of the Council on Clinical Cardiology; Council on Cardiovascular Radiology and Intervention; Council on Cardiovascular and Stroke Nursing; Council on Cardiovascular Disease in the Young; and Council on Quality of Care and Outcomes Research. Circ Cardiovasc Imaging. 2017;10(12)Google Scholar

Copyright information

© American Society of Nuclear Cardiology 2019

Authors and Affiliations

  1. 1.Division of CardiologyUniversity of Ottawa Heart InstituteOttawaCanada

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