What type of study is this?

This is a Cohort Study study (also classified as: Quantitative Study, Experimental Study).

September 27, 2025Open Access

Credibility assessment of patient-specific modeling in transcatheter aortic valve implantation—Part 2: Uncertainty quantification and sensitivity analysis

Key Points

Uncertainty quantification effectively identifies key parameters impacting TAVI model outputs.
A surrogate model using Gaussian-process regression showed accurate predictions of device diameter with less than 1% mean relative error.
Sensitivity analysis revealed balloon expansion volume and stent-frame material properties as the most influential parameters.
The study provides a framework for integrating in silico models into clinical decision-making, benefiting clinicians and regulatory bodies.

Abstract

Transcatheter aortic valve implantation (TAVI) benefits from patient-specific computational modeling, yet model credibility remains a challenge. The ASME V1%), with balloon expansion volume and stent-frame material properties being the most influential. Hemodynamic predictions exhibited greater uncertainty, with effective orifice area and pressure gradient showing deviations beyond the 5% validation threshold. This study establishes a framework for UQ in patient-specific TAVI modeling, demonstrating reliable device deployment predictions. The findings support integrating in silico models into clinical decision-making, benefiting clinicians, manufacturers, and regulatory bodies. This study is complemented by a first part dedicated to the discrete validation of the patient-specific TAVI model against clinical data.

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