Long-term outcomes prediction in diabetic heart failure with preserved ejection fraction by cardiac MRI.
Wenjing YangLeyi ZhuJian HeWeichun WuYuhui ZhangBaiyan ZhuangJing XuDi ZhouYining WangGuanshu LiuXiaoxin SunQiang ZhangArlene SirajuddinAndrew E AraiShihua ZhaoMin-Jie LuPublished in: European radiology (2024)
• Limited data are available on the cardiac MRI features of diabetic heart failure with preserved ejection fraction, including myocardial deformation and tissue characterization, as well as their incremental prognostic value. • Diabetic heart failure with preserved ejection fraction patients was characterized by more impaired strains and myocardial fibrosis. Comprehensive MRI, including tissue characterization and global longitudinal strain, provided incremental value for risk prediction. • MRI served as a valuable tool for identifying high-risk patients and guiding clinical management in diabetic heart failure with preserved ejection fraction.
Keyphrases
- end stage renal disease
- magnetic resonance imaging
- contrast enhanced
- type diabetes
- ejection fraction
- chronic kidney disease
- peritoneal dialysis
- escherichia coli
- diffusion weighted imaging
- prognostic factors
- wound healing
- machine learning
- computed tomography
- magnetic resonance
- patient reported outcomes
- artificial intelligence
- deep learning
- electronic health record
- patient reported