title: Assessment of Right Ventricular and Right Atrial Systolic and Diastolic Performance Using Automated Border Detection.
abstract: Noninvasive assessment of right ventricular (RV) function is important clinically, but current techniques have limitations. Acoustic quantification (AQ) is an automated endocardial border detection technique that allows continuous determination of RV and right atrial (RA) area waveforms and may be useful for the assessment of RA and RV systolic and diastolic performance. Fifty patients (10 normal, 40 with RV pathology) were studied. Signal-averaged RA and RV AQ area waveforms were obtained and analyzed to compute parameters of diastolic and systolic function. All groups demonstrated significant diastolic dysfunction on the RA AQ waveform as manifested by a reduced percentage of passive atrial emptying and increased dependence on active atrial emptying. Abnormalities of diastolic performance were noted in all subgroups on RV AQ analysis as evidenced by a reduction in the percentage of ventricular filling occurring during early diastole and an increased contribution from active atrial contraction. This study demonstrates the feasibility of using automated analysis of signal-averaged RA and RV area waveforms for the evaluation of RV systolic and diastolic performance. This technique identified significant systolic and diastolic dysfunction in four groups of commonly seen right heart pathologies including biventricular heart failure, pulmonary hypertension, pressure and volume overloaded RVs, and biventricular hypertrophy.
authors.affiliation: The University of Chicago, Department of Cardiology, Noninvasive Imaging Laboratory, 5841 S. Maryland Avenue, MC5084, Chicago, IL 60637.
authors.forename: Kirk T.
authors.initials: KT
authors.lastname: Spencer
authors.forename: Maria J.
authors.initials: MJ
authors.lastname: Garcia
authors.forename: Lynn
authors.initials: L
authors.lastname: Weinart
authors.forename: Philippe
authors.initials: P
authors.lastname: Vignon
authors.forename: Roberto
authors.initials: R
authors.lastname: Lang