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

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

doi:10.1007/s00380-022-02167-z

Heart Vessels

2022

DOI: 10.1007/s00380-022-02167-z

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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

Shun Suyama

Shingo Kato

Takeshi Nakaura

et al.

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Right ventricular myocardial fibrosis evaluated by extracellular volume fraction by magnetic resonance imaging in patients with repaired tetralogy of Fallot: a meta-analysis

Tanigaki,

Kato,

Azuma

et al. 2023

Heart Vessels

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Right ventricular myocardial fibrosis evaluated by extracellular volume fraction by magnetic resonance imaging in patients with repaired tetralogy of Fallot: a meta-analysis

Tanigaki,

Kato,

Azuma

et al. 2023

Heart Vessels

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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

Cited by 1 publication

References 23 publications

Right ventricular myocardial fibrosis evaluated by extracellular volume fraction by magnetic resonance imaging in patients with repaired tetralogy of Fallot: a meta-analysis

Right ventricular myocardial fibrosis evaluated by extracellular volume fraction by magnetic resonance imaging in patients with repaired tetralogy of Fallot: a meta-analysis

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