Usefulness of cardiac magnetic resonance images for prediction of sudden cardiac arrest in patients with mitral valve prolapse: a multicenter retrospective cohort study.
Jae-Hyuk LeeJae-Sun UhmYoung Joo SuhMin KimIn-Soo KimMoo-Nyun JinMin Soo ChoHee Tae YuTae-Hoon KimYoo Jin HongHye-Jeong LeeChi Young ShimYoung Jin KimJun KimJong-Youn KimBoyoung JoungGeu-Ru HongHui-Nam PakGi-Byoung NamKee-Joon ChoiYou-Ho KimMoon-Hyoung LeePublished in: BMC cardiovascular disorders (2021)
The presence of systolic curling motion, high LGE volume and proportion, and the presence of LGE on CMR were independent predictive factors for SCA or VA in MVP patients.
Keyphrases
- mitral valve
- cardiac arrest
- magnetic resonance
- left ventricular
- end stage renal disease
- ejection fraction
- newly diagnosed
- heart failure
- chronic kidney disease
- prognostic factors
- deep learning
- cross sectional
- convolutional neural network
- left atrial
- magnetic resonance imaging
- machine learning
- patient reported outcomes
- atrial fibrillation
- double blind