| Autor: |
Jingyi Zheng, Shao-wei Huang, Mustafa I. Ahmed, Betty Pat, Steven G. Lloyd, Oleg F. Sharifov, Thomas S. Denney, Louis J. Dell’Italia |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
Frontiers in Cardiovascular Medicine, Vol 11 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2297-055X |
| DOI: |
10.3389/fcvm.2024.1410859 |
| Popis: |
Background2020 American College of Cardiology/American Heart Association (ACC/AHA) Guidelines state that the ideal time for mitral valve surgery in primary mitral regurgitation (PMR) is when the LV approaches but has not yet reached echocardiographic LV ejection fraction (EF) 40 mm. However, it is difficult to know the imminent risk of crossing this threshold when the surgical outcome is less optimal.ObjectiveUsing machine learning and statistical models, we have shown that cardiac magnetic resonance (CMR) LV sphericity index (SI) and LV mid circumferential strain rate (SRcirc) added to LVEF and LVESD predict LVEF |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
