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Automated on-line quantification of left ventricular ejection fraction by echo.

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.