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Predicting TAVI paravalvular regurgitation outcomes based on numerical simulation of the aortic annulus eccentricity and perivalvular areas

Author

Listed:
  • Marcos Loureiro-Ga
  • Cesar Veiga
  • Generosa Fdez-Manin
  • Victor Alfonso Jimenez
  • Pablo Juan-Salvadores
  • Laura Busto
  • Jose Antonio Baz
  • Andrés Iñiguez

Abstract

Trans-catheter aortic valve implantation (TAVI) is an increasingly adopted technique which provides a minimal invasive solution for patients who suffer from severe aortic stenosis. Some complications of the procedure could be annular rupture or paravalvular leakage, both related with adverse outcome. In TAVI with balloon expandable devices, a mismatch between those two factors leads to a conflict situation, where improving one worsens the other. The presented research proposes a methodology that uses numerical simulation to obtain certain TAVI outcomes related with aortic regurgitation due to paravalvular leakage, such as perivalvular area, aortic eccentricity or annular pressure. The application of the methodology for two patients shows the possibility of predicting those quantities. The highest stress values are distributed along the contact area. Results also show that a great deformation on the aortic annulus does not necessarily imply a higher stress; pressure can either be converted into root reshape or into root stretching. Validation of the results was done using scientific publications, clinical guidelines and clinical reports. Numerical simulation provides a suitable tool that could possibly contribute to optimize the planification procedure adjusting the mismatch between size and pressure.

Suggested Citation

  • Marcos Loureiro-Ga & Cesar Veiga & Generosa Fdez-Manin & Victor Alfonso Jimenez & Pablo Juan-Salvadores & Laura Busto & Jose Antonio Baz & Andrés Iñiguez, 2021. "Predicting TAVI paravalvular regurgitation outcomes based on numerical simulation of the aortic annulus eccentricity and perivalvular areas," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 24(14), pages 1629-1637, November.
  • Handle: RePEc:taf:gcmbxx:v:24:y:2021:i:14:p:1629-1637
    DOI: 10.1080/10255842.2021.1906233
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