In Silico Modeling and Validation of Post-Dilation in TAVI Patients

Abstract Purpose (stating the main purposes and research question) The purpose of this study is to develop and validate a balloon post-dilation model into patient-specific transcatheter aortic valve implantation (TAVI) simulations, addressing the current lack of numerical models capable of reproducing this procedural step. Methods A finite element model of a True TM Dilatation (BD, Tempe, Arizona) balloon was reconstructed and discretized. Balloon material properties were calibrated and validated through experimental tensile and inflation tests, respectively. The balloon model was then integrated into the final configurations of four TAVI simulations to reproduce the post-dilation phase. Model predictions were quantitatively compared with post-operative computed tomography (CT) images to assess the reliability of the final device configuration. Additionally, simulations performed with and without post-dilation phase were compared to evaluate differences in prediction error and to quantify the impact of post-dilation on agreement with clinical imaging. Results The calibrated balloon model accurately reproduced experimental inflation behavior around the nominal working pressure, and post-dilation was simulated in all cases. Quantitative comparison with post-operative CTs demonstrated high predictive accuracy of the final stent configuration. The average percentage error in orifice area was 1.55 ± 1.26%, while eccentricity error at the left ventricular outflow tract level was 1.54 ± 1.08. Inclusion of post-dilation reduced prediction errors by 53% for orifice area and 80% for eccentricity. Conclusion The integration of balloon post-dilation significantly improves the accuracy and clinical relevance of patient-specific TAVI simulations. Incorporating this step is essential to reliably predict final stent configuration and support the development of robust in silico tools for personalized TAVI planning and risk assessment.

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Publication Details

Journal
Annals of Biomedical Engineering
Published
2026-09-15
DOI
https://doi.org/10.1007/s10439-026-04325-0
Primary Topic
Cardiac Valve Diseases and Treatments
Type
article
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article

In Silico Modeling and Validation of Post-Dilation in TAVI Patients

Francesco Migliavacca, Sara Barati, Paola De Stefano, Lucia Barbieri et al.
Annals of Biomedical Engineering
Cardiac Valve Diseases and Treatments
article

In Silico Modeling and Validation of Post-Dilation in TAVI Patients

Francesco Migliavacca, Sara Barati, Paola De Stefano, Lucia Barbieri, Elena Bianchi, Francesca Berti, B. Grossi, Giulia Luraghi, Virginia Fregona, José F. Rodríguez-Matas, Ottavia Cozzi, Gabriele Dubini, Giulio Stefanini, Gianluigi Condorelli, Stefano Carugo, Letizia Maria Perri, Gabriele Dario Tumminello
article en

Abstract

Abstract Purpose (stating the main purposes and research question) The purpose of this study is to develop and validate a balloon post-dilation model into patient-specific transcatheter aortic valve implantation (TAVI) simulations, addressing the current lack of numerical models capable of reproducing this procedural step. Methods A finite element model of a True TM Dilatation (BD, Tempe, Arizona) balloon was reconstructed and discretized. Balloon material properties were calibrated and validated through experimental tensile and inflation tests, respectively. The balloon model was then integrated into the final configurations of four TAVI simulations to reproduce the post-dilation phase. Model predictions were quantitatively compared with post-operative computed tomography (CT) images to assess the reliability of the final device configuration. Additionally, simulations performed with and without post-dilation phase were compared to evaluate differences in prediction error and to quantify the impact of post-dilation on agreement with clinical imaging. Results The calibrated balloon model accurately reproduced experimental inflation behavior around the nominal working pressure, and post-dilation was simulated in all cases. Quantitative comparison with post-operative CTs demonstrated high predictive accuracy of the final stent configuration. The average percentage error in orifice area was 1.55 ± 1.26%, while eccentricity error at the left ventricular outflow tract level was 1.54 ± 1.08. Inclusion of post-dilation reduced prediction errors by 53% for orifice area and 80% for eccentricity. Conclusion The integration of balloon post-dilation significantly improves the accuracy and clinical relevance of patient-specific TAVI simulations. Incorporating this step is essential to reliably predict final stent configuration and support the development of robust in silico tools for personalized TAVI planning and risk assessment.

Annals of Biomedical Engineering
Humanitas University (IT), Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico (IT), IRCCS Humanitas Research Hospital (IT), Politecnico di Milano (IT)
Openalex Percentile: Top 10%
Cardiac Valve Diseases and Treatments
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