Outcome of transcatheter aortic valve replacement (TAVR) depends on a combination of patient-, procedure-, and operator-related variables. Specific device–host-related interactions may also be involved and may result in, for instance, incomplete and/or nonuniform frame expansion that in turn may lead to aortic regurgitation (AR).
Due to the large variability of the aortic root anatomy, the occurrence and severity of AR is hard to predict, indicating the need of tools that help the physician to select the type and size of valve that best fits the individual patient in addition to the optimal landing zone.
Computer simulation of a TAVR procedure that is based upon the integration of the patient-specific anatomy, the physical and (bio)mechanical properties of the valve, and recipient anatomy may serve this goal. We herein describe such a model for AR prediction that was validated in a series of 60 patients who underwent TAVR with the Medtronic CoreValve Revalving System.

dx.doi.org/10.1016/j.jcin.2016.01.003, hdl.handle.net/1765/81663
JACC: Cardiovascular Interventions
Erasmus MC: University Medical Center Rotterdam

de Jaegere, P.P.T, De Santis, G, Rodríguez-Olivares, R, Bosmans, J, Bruining, N, Dezutter, T, … Mortier, P. (2016). Patient-Specific Computer Modeling to Predict Aortic Regurgitation after Transcatheter Aortic Valve Replacement. JACC: Cardiovascular Interventions, 9(5), 508–512. doi:10.1016/j.jcin.2016.01.003