Prognostic value of feature-tracking right ventricular longitudinal strain in heart transplant recipients.

Wei SunYating YuanXuehua ShenYiwei ZhangNianguo DongGuohua WangYuman LiBo LiangQing LvLi ZhangMing-Xing Xie

Published in: European radiology (2022)

• CMR-RVLS is an independent predictor of adverse events post-heart transplantation and provides greater predictive value. • CMR-RVLS may help clinicians to risk stratification in heart transplantation recipients.

Keyphrases

heart failure
machine learning
palliative care
deep learning
cross sectional
atrial fibrillation
neural network