Affiliation:
1. Cardiovascular Clinical Academic Group, St George’s University of London and St George’s University Hospitals NHS Foundation Trust , Cranmer Terrace, London SW17 0RE , UK
2. St George's University Hospitals NHS Foundation Trust , Blackshaw Rd, London SW17 0QT , UK
Abstract
Abstract
Background
Transcatheter aortic valve replacement (TAVR) is becoming increasingly prevalent worldwide and is now more common than surgical aortic valve replacement. It is expanding into all patient subsets including younger and lower risk patients. Bicuspid aortic valve (BAV) accounts for a significant proportion of TAVR, but due to heterogenous anatomy, it is of increased complexity. One of the greatest challenges in BAV is the selection of the correct TAVR size. Transcatheter aortic valve replacement sizing is based upon computed tomography–derived annular measurements. There are a number of sizing algorithms for BAV based upon anatomical characteristics, often yielding different results. This is noted especially when a patient falls near the borderline between two valve sizes, an anatomical grey zone. Complementary to the algorithm approach is the use of pre-procedural patient-specific computer simulation using finite-element modelling.
Case summary
An 86-year-old female was treated for heart failure secondary to severe and calcific BAV aortic stenosis with TAVR. Due to anatomical difficulty and grey-zone valve sizing, we demonstrate the use of pre-procedural patient-specific computer simulation with the novel Medtronic Evolut PRO+ platform to achieve a good result.
Discussion
Using patient-specific computer simulation, we were able to safely select the valve and the deployment height and then accurately predict the result in a difficult, severely calcified BAV. In addition to improving outcome, this allows for patient-specific, tailored discussion to occur at heart team meetings.
Publisher
Oxford University Press (OUP)
Subject
Cardiology and Cardiovascular Medicine