On-line estimation of changes in left ventricular stroke volume by transesophageal echpcardiographic automated border detection in patients undergoing coronary artery bypass grafting

John Gorcsan, Thomas A. Gasior, William A. Mandarino, Lee G. Deneault, Brack G. Hattler, Michael R. Pinsky

Research output: Contribution to journalArticlepeer-review

62 Scopus citations

Abstract

Echocardiographic automated border detection can determine the interface between blood and myocardial tissue and calculate left ventricular (LV) cavity area in real-time. The objective was to determine if on-line measurements of LV cavity area by transesophageal automated border detection could be used to determine beat-to-beat changes in stroke volume in humans. Studies were attempted on 9 consecutive patients, aged 66 ± 8 years, undergoing coronary bypass surgery. Stroke volume was measured by electromagnetic flow from the ascending aorta, and LV cavity area was measured at the midventricular short-axis level. Simultaneous area and flow data were recorded on a computer workstation through a customized interface with the ultrasound system. Recordings were performed during baseline apnea and rapid alterations induced by inferior vena caval occlusions before and after cardiopulmonary bypass. Measurements of stroke area (maximal area-minimal area) were correlated with stroke volume for matched beats. Data were available for analysis on 8 of 9 patients before and on 5 patients after cardiopulmonary bypass for 644 beats. Stroke area was closely correlated with stroke volume both before (mean R = 0.94 ± 0.03, SEE = 0.33 ± 0.12 cm2) and after (mean R = 0.92 ± 0.05, SEE = 0.59 ± 0.81 cm2) cardiopulmonary bypass. The slopes of these stroke area-stroke volume relations were quite reproducible from before to after cardiopulmonary bypass in the same patient but varied between individual patients. Transesophageal automated border detection has potential for on-line estimation of changes in stroke volume in selected patients.

Original languageEnglish (US)
Pages (from-to)721-727
Number of pages7
JournalThe American journal of cardiology
Volume72
Issue number9
DOIs
StatePublished - Sep 15 1993

All Science Journal Classification (ASJC) codes

  • Cardiology and Cardiovascular Medicine

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