Patient-specific non-invasive estimation of pressure gradient across aortic coarctation using magnetic resonance...

Area of Science:

• Biomedical Engineering
• Cardiovascular Imaging
• Medical Physics

Background:

• Accurate non-invasive estimation of pressure gradients in aortic coarctation is crucial for diagnosis and treatment.
• Previous computational fluid dynamics (CFD) methods provided satisfactory accuracy but were time-consuming and resource-intensive.

Purpose of the Study:

• To implement and validate a magnetic resonance imaging (MRI)-based non-invasive modeling procedure for predicting pressure gradients in aortic coarctation.
• To assess the clinical applicability of this novel MRI-based approach.

Main Methods:

• A novel MRI-based non-invasive modeling procedure was developed and applied to 14 patient cases of aortic coarctation.
• Multi-cycle patient flow and pressure data were processed to establish flow and pressure conditions.
• A friction loss model based on the Bernoulli equation, incorporating inertial effects, was used to model the pressure gradient.
• Model predictions were validated against in vivo catheter measurement data.

Main Results:

• The MRI-based model predictions demonstrated consistency with catheter measurement data.
• Agreement was observed for both cycle-averaged instantaneous pressure gradients and peak-to-peak pressure gradients.

Conclusions:

• The developed MRI-based non-invasive modeling procedure shows significant potential for clinical application.
• This technique offers a viable alternative for predicting pressure gradients in patients with aortic coarctation.