Keywords: Heart, Heart, right ventricular dysfunction; machine learning techniques; ST-Segment-Elevation myocardial infarctionIn clinical work, right ventricular (RV) dysfunction has been ignored in acute ST-Segment-Elevation myocardial infarction (STEMI) patients. And previous studies have shown the interaction between left ventricular (LV) and RV. The aim of this study was to assess RV function by cardiovascular magnetic resonance feature tracking (CMR-FT) and to explore what factors affect RV dysfunction by machine learning techniques. The results showed that the incidence of RV dysfunction was 32.28% in STEMI patients and the occurrence of RV dysfunction was associated with RV end-systolic volume index, LV ejection fraction (EF), and interventricular septum radial strain by machine learning technique.
How to access this content:
For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.
After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.
After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.
Keywords