Machine learning to predict left ventricular reverse remodeling by guideline-directed medical therapy by utilizing texture feature of extracellular volume fraction in patients with non-ischemic dilated cardiomyopathy-Reference-Cited by-同舟云学术

Machine learning to predict left ventricular reverse remodeling by guideline-directed medical therapy by utilizing texture feature of extracellular volume fraction in patients with non-ischemic dilated cardiomyopathy

Published:2022-09-03 Issue:3 Volume:38 Page:361-370
ISSN:0910-8327
Container-title:Heart and Vessels
language:en
Short-container-title:Heart Vessels

Author:

Suyama Shun,Kato Shingo^ORCID,Nakaura Takeshi,Azuma Mai,Kodama Sho,Nakayama Naoki,Fukui Kazuki,Utsunomiya Daisuke

Publisher

Springer Science and Business Media LLC

Subject

Cardiology and Cardiovascular Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00380-022-02167-z.pdf

Reference24 articles.

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3. Lehrke S, Lossnitzer D, Schöb M, Steen H, Merten C, Kemmling H, Pribe R, Ehlermann P, Zugck C, Korosoglou G, Giannitsis E, Katus HA (2011) Use of cardiovascular magnetic resonance for risk stratification in chronic heart failure: prognostic value of late gadolinium enhancement in patients with non-ischaemic dilated cardiomyopathy. Heart 97(9):727–732

4. Iles LM, Ellims AH, Llewellyn H, Hare JL, Kaye DM, McLean CA, Taylor AJ (2015) Histological validation of cardiac magnetic resonance analysis of regional and diffuse interstitial myocardial fibrosis. Eur Heart J Cardiovasc Imaging 16(1):14–22

5. aus dem Siepen F, Buss SJ, Messroghli D, Andre F, Lossnitzer D, Seitz S, Keller M, Schnabel PA, Giannitsis E, Korosoglou G, Katus HA, Steen H (2015) T1 mapping in dilated cardiomyopathy with cardiac magnetic resonance: quantification of diffuse myocardial fibrosis and comparison with endomyocardial biopsy. Eur Heart J Cardiovasc Imaging 16(2):210–216

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