Evaluation of left ventricular systolic function using automated angle-independent motion tracking of mitral annular displacement.
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.
DeCara
Jeanne M
JM
Department of Medicine, University of Chicago, Chicago, Illinois, USA. jdecara@medicine.bsd.uchicago.edu
Toledo
Eran
E
Salgo
Ivan S
IS
Lammertin
Georgeanne
G
Weinert
Lynn
L
Lang
Roberto M
RM
D000328:Adult; D000465:Algorithms; D005240:Feasibility Studies; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008297:Male; D008943:Mitral Valve / Q000000981:diagnostic imaging*; D009068:Movement; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013318:Stroke Volume; D013599:Systole; D014463:Ultrasonography; D018487:Ventricular Dysfunction, Left / Q000000981:diagnostic imaging*