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Dynamic right ventricular dimension. Relation to chamber volume during the cardiac cycle
The Journal of Thoracic and Cardiovascular Surgery
|June 1, 1986
Summary
Right ventricular performance can be accurately assessed using dynamic free wall dimension measurements. This method simplifies evaluating right ventricular stroke volume and work, even with changing afterload.
Area of Science:
- Cardiovascular Physiology
- Cardiac Mechanics
- Hemodynamics
Background:
- Right ventricular (RV) geometry and contraction complexity have historically limited performance analysis.
- Assessing RV function typically requires complex measurements of instantaneous dimensions and volume.
Purpose of the Study:
- To investigate the relationship between RV free wall dimension, pressure changes (dP/dt), and pulmonary artery flow.
- To establish a method for accurately assessing RV performance using dynamic dimensional changes.
Main Methods:
- Utilized sonomicrometry for RV free wall chord dimension, micromanometer catheters for RV pressure, and electromagnetic probes for pulmonary artery flow in open-chest dogs.
- Analyzed the temporal correlation between peak positive/negative RV dP/dt and the initiation/cessation of pulmonary flow.
- Quantified the relationship between RV stroke volume and dimensional changes, and RV stroke work and pressure-dimension integrals.
Main Results:
- Peak positive RV dP/dt closely preceded pulmonary flow initiation, with minimal dimensional difference.
- Peak negative RV dP/dt correlated with end-ejection, with minimal dimensional difference from minimal dimension.
- RV stroke volume directly correlated with dimensional change (r=0.969) and RV stroke work correlated with measured stroke work (r=0.980), independent of afterload changes.
Conclusions:
- Dynamic RV free wall dimension analysis provides accurate beat-to-beat assessments of RV chamber volume.
- This dimensional analysis method reliably estimates RV stroke work, unaffected by afterload variations.
- Simplifies RV performance evaluation, overcoming geometric complexities.