A machine learning method integrating ECG and gated SPECT for cardiac resynchronization therapy decision support

Author:

de A. Fernandes FernandoORCID,Larsen Kristoffer,He Zhuo,Nascimento Erivelton,Peix Amalia,Sha Qiuying,Paez Diana,Garcia Ernest V.,Zhou Weihua,Mesquita Claudio T.

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,General Medicine,Radiology, Nuclear Medicine and imaging,General Medicine

Reference37 articles.

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2. Tracy CM, Epstein AE, Darbar D, DiMarco JP, Dunbar SB, Estes NAM, et al. 2012 ACCF/AHA/HRS focused update of the 2008 guidelines for device-based therapy of cardiac rhythm abnormalities: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines and the Heart Rhythm Society. Circulation. 2012; 126:1784–800. http://www.ncbi.nlm.nih.gov/pubmed/22965336.

3. Normand C, Linde C, Singh J, Dickstein K. Indications for cardiac resynchronization therapy: a comparison of the major international guidelines. JACC Heart Fail. Elsevier Inc. 2018;6:308–16. http://www.ncbi.nlm.nih.gov/pubmed/29598935.

4. Bax JJ, Bleeker GB, Marwick TH, Molhoek SG, Boersma E, Steendijk P, et al. Left ventricular dyssynchrony predicts response and prognosis after cardiac resynchronization therapy. J Am Coll Cardiol. 2004;44:1834–40.

5. Delgado V, Van Bommel RJ, Bertini M, Borleffs JCW, Marsan NA, et al. Imaging relative merits of left ventricular dyssynchrony, left ventricular lead position, and myocardial scar to predict long-term survival of ischemic heart failure patients undergoing cardiac resynchronization therapy. 2011. http://circ.ahajournals.org/cgi/content/full/CIRCULATIONAHA.110.945345/DC1.

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