Virtual implantation of three new valved stent graft designs using patient-specific simulations showed implantation success rates of 37%, 42%, and 63%, respectively.
Can patient-specific computational simulations determine the suitability of new percutaneous pulmonary valve designs?
Patient-specific computational simulations demonstrate that new percutaneous pulmonary valve designs could increase the proportion of suitable patients compared to current devices.
Nowadays, percutaneous pulmonary valve implantation is a successful alternative to surgery for patients requiring treatment of pulmonary valve dysfunction. However, owing to the wide variety of implantation site morphology, size and dynamics, only about 15 per cent of cases are suitable for current devices. In order to increase the number of patients who could benefit from minimally invasive procedures, a new valved stent graft for percutaneous implantation has been designed recently. In this study, patient-specific computational analyses have been applied to investigate the suitability of new device designs, using real data from 62 patients who had undergone surgical pulmonary valve replacement. Magnetic resonance images of these patients before surgery were elaborated using imaging post-processing software to reconstruct the three-dimensional volume of each patient's implantation site. Three stent designs were created and tested in these patient outflow tracts using finite-element simulations: stent graft SG1 resembles the first device tested in animals; stent graft SG2 is a custom device tailored for a specific patient morphology; and stent graft SG3 represents a hypothetical larger device. The three devices showed an implantation success rate of 37 per cent, 42 per cent and 63 per cent, respectively. Using patient-specific simulations, we have shown that a percutaneous approach with these new devices may be possible for many patients who are currently referred for surgery. Furthermore, when the new devices become available, the methodologies described may help clinicians in the decision-making process, by enabling virtual implantation prior to the actual procedure.
Capelli et al. (Mon,) conducted a other in Pulmonary valve dysfunction (n=62). Virtual implantation of new valved stent graft designs (SG1, SG2, SG3) was evaluated on Implantation success rate. Virtual implantation of three new valved stent graft designs using patient-specific simulations showed implantation success rates of 37%, 42%, and 63%, respectively.
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