Estimation of maximum intraventricular pressure: a three-dimensional fluid-structure interaction model.

Area of Science:

• Cardiovascular Physiology
• Biomedical Engineering
• Medical Imaging

Background:

• Estimating maximum left ventricular pressure (MPLV) is crucial for diagnosing cardiac conditions.
• Current methods often involve invasive procedures or have limitations in accuracy during exercise.

Purpose of the Study:

• To propose and evaluate a novel, non-invasive method for estimating MPLV.
• To establish a numerical relationship between cardiac output and ventricular/aortic pressures using Fluid-Structure Interaction (FSI) simulations.

Main Methods:

• Cardiac output was measured using Doppler echocardiography (non-invasive) and catheterization (invasive).
• A Fluid-Structure Interaction (FSI) simulation, utilizing an Arbitrary Lagrangian-Eulerian (ALE) mesh, was employed.
• Pressure loads were determined from cardiac outputs, enabling MPLV prediction.

Main Results:

• The Fick-based MPLV prediction showed a 4.7% difference compared to clinical reports.
• Doppler and Thermodilution methods yielded higher prediction errors (12% and 30%, respectively).
• Systolic pressure peaks increased with exercise, with variations across different cardiac output measurement methods.

Conclusions:

• The proposed non-invasive method shows potential for accurate MPLV estimation, particularly the Fick-based approach.
• Further validation with independent intraventricular pressure measurements is required.
• This method offers a safe, cost-effective, and practical alternative for clinical diagnosis and understanding cardiac flow dynamics.