The use of live three-dimensional Doppler echocardiography in the measurement of cardiac output: an in vivo animal study

J Am Coll Cardiol. 2005 Feb 1;45(3):433-8. doi: 10.1016/j.jacc.2004.10.046.

Abstract

Objectives: The purpose of this study was to investigate whether cardiac output (CO) could be accurately computed from live three-dimensional (3-D) Doppler echocardiographic data in an acute open-chested animal preparation.

Background: The accurate measurement of CO is important in both patient management and research. Current methods use invasive pulmonary artery catheters or two-dimensional (2-D) echocardiography or esophageal aortic Doppler measures, with the inherent risks and inaccuracies of these techniques.

Methods: Seventeen juvenile, open-chested pigs were studied before undergoing a separate cardiopulmonary bypass procedure. Live 3-D Doppler echocardiography images of the left ventricular outflow tract and aortic valve were obtained by epicardial scanning, using a Philips Medical Systems (Andover, Massachusetts) Sonos 7500 Live 3-D Echo system with a 2.5-MHz probe. Simultaneous CO measurements were obtained from an ultrasonic flow probe placed around the aortic root. Subsequent offline processing using custom software computed the CO from the digital 3-D Doppler DICOM data, and this was compared to the gold standard of the aortic flow probe measurements.

Results: One hundred forty-three individual CO measurements were taken from 16 pigs, one being excluded because of severe aortic regurgitation. There was good correlation between the 3-D Doppler and flow probe methods of CO measurement (y = 1.1x - 9.82, R(2) = 0.93).

Conclusions: In this acute animal preparation, live 3-D Doppler echocardiographic data allowed for accurate assessment of CO as compared to the ultrasonic flow probe measurement.

MeSH terms

  • Animals
  • Blood Flow Velocity
  • Cardiac Output*
  • Cardiopulmonary Bypass
  • Echocardiography, Doppler, Color*
  • Echocardiography, Three-Dimensional*
  • Feasibility Studies
  • Humans
  • Image Processing, Computer-Assisted
  • Models, Animal
  • Reproducibility of Results
  • Swine