Image-Based Computational Model Predicts Dobutamine-Induced Hemodynamic Changes in Patients With Aortic Coarctation

Kilian Runte1,2, Kay Brosien1, Charlotte Schubert1,2

  • 1Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité - Universitätsmedizin Berlin, Germany (K.R., K.B., C.S., A.H., T.K., M.K., L.G.).

Insights

A new reduced-order model accurately predicts dobutamine-induced pressure gradients in aortic coarctation patients. This tool offers a promising, non-invasive alternative to traditional heart catheterization for assessing hemodynamic changes during stress testing.

Area of Science:

  • Cardiovascular Medicine
  • Medical Imaging
  • Computational Biology

Background:

  • Pharmacological stress testing is crucial for evaluating patients with structural heart diseases like aortic coarctation.
  • Assessing hemodynamic conditions, particularly pressure gradients across coarctation, is vital for treatment decisions.
  • Current methods can be invasive, necessitating the development of alternative assessment tools.

Purpose of the Study:

  • To develop and validate a reduced-order model for predicting dobutamine stress-induced pressure gradients in aortic coarctation.
  • To compare the model's predictions with invasive measurements obtained during cardiac catheterization.
  • To establish the model's accuracy and clinical utility as an alternative to conventional stress testing.

Main Methods:

  • A reduced-order model was created using imaging data from 21 patients with aortic coarctation.
  • The model was trained on data from a meta-analysis of dobutamine stress tests.
  • Model predictions were validated against invasive measurements in an independent cohort of 21 patients.

Main Results:

  • Dobutamine stress testing significantly increased pressure gradients across the coarctation in 19 patients (15.7±5.1 to 33.6±10.3 mm Hg).
  • The model's predicted pressure gradients showed high agreement with catheter measurements (mean difference -2.2 mm Hg, limits of agreement ±11.16 mm Hg).
  • Statistical equivalence was confirmed between catheter-measured and model-simulated stress pressure gradients (P=0.021).

Conclusions:

  • The developed reduced-order model accurately predicts dobutamine-induced hemodynamic changes in aortic coarctation.
  • The model provides an instant, web-based tool, serving as a viable alternative to invasive heart catheterization.
  • This approach enhances clinical routine assessment for patients with aortic coarctation, improving diagnostic efficiency.
Abstract

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