M2P 2023

Uncertainty Quantification and Sensitivity Analysis for Non-invasive Model-based Instantaneous Wave-Free Ratio Prediction

  • Dalmaso, Caterina (University of Trento)
  • Fossan, Fredrik Eikeland (Norwegian University of Science and Technolog)
  • Bråten, Anders Tjellaug (Norwegian University of Science and Technolog)
  • Müller, Lucas Omar (University of Trento)

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In the last few years there has been a growing interest among clinicians concerning the computational estimation of hemodynamic indices such as fractional flow reserve (FFR) and instantaneous wave-free ratio (iFR), in order to reduce the number of performed surgical procedures and the related costs and risks. As of now, multiple studies have been published regarding the development and clinical validation of computational FFR models, while similar studies concerning iFR are still very few and not comprehensive. In particular, no extensive analysis of the sensitivity of model-based iFR estimates to parameter variations and modelling simplifying assumptions has been performed yet. The main purpose of this work is to assess the global sensitivity of patient-specific iFR predictions to various sources of uncertainty. Through this analysis we have been able to show and discuss which parameters are the most influential for the assumed input uncertainties and modelling framework, and, consequently, which parameters should be prioritised for measurement or estimation.