title: Automated on-line quantification of left ventricular ejection fraction by echo.
abstract: An automated border detection system based on the acoustic back scatter property of ultrasound has been recently developed. This provides beat-to-beat values for the left ventricular ejection fraction (EF). This study assesses the reliability of this method when compared with the angiocardiographic EF, and manual 2D-echo-derived EF based on the modified Simpson method. Angiocardiographically-derived EF was used as the gold standard. In a total of 49 patients the angiocardiographic EF was found to be 64.49 +/- 15%. It showed excellent correlation with the automated border detection-derived EF (r = 0.91). The automated border detection-derived EF also showed excellent correlation with the manual 2D-echo method (r = 0.9). In addition, automated border detection requires less time than the manually drawn method (40.9 +/- 7.7 sec versus 58.6 +/- 7.5 sec; p < 0.001). We conclude that the acoustic quantification of the EF correlates well with the angiocardiographically-derived EF and is less time-consuming.
authors: Department of Cardiology, Christian Medical College Hospital, Vellore.
authors: V J
authors: VJ
authors: Jose
authors: S K
authors: SK
authors: Trivedi
mesh_terms: D004452:Echocardiography / Q000295:instrumentation / Q000379:methods; D006801:Humans; D007091:Image Processing, Computer-Assisted; D015588:Observer Variation; D012680:Sensitivity and Specificity; D013318:Stroke Volume; D018487:Ventricular Dysfunction, Left / Q000000981:diagnostic imaging*