Abstract
Determination of ejection fraction (EF) in clinical practice typically involves manual tracing of endocardial borders. This method is time-intensive and highly dependent on image quality. Mitral annular displacement (MAD) has been shown to correlate well with EF. Previously, this method involved tedious analysis of M-mode tracings. We developed and studied a new technique that is ultrasound beam angle-independent for automated detection of MAD, based on a tissue tracking algorithm. A regression formula was derived in a study group to predict EF from MAD measurements and tested prospectively in a separate group of patients. We found that our technique provides accurate, ultra-fast estimation of EF with lower inter- and intraobserver variability when compared with manually traced biplane EF.
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