Background: There are two main methods used for transcatheter aortic valve replacement (TAVR) FEA modeling for medical devices development: patient specific and general approaches. Advantages and disadvantages of both approaches have never been compared in a single study. Method: Here we propose a bioinformatic algorithm to evaluate the accuracy of patient specific and generalized FEA approaches with regards to proximity configuration of the implanted stent reconstructed by computed tomography. In addition, in this study we also assessed the impact of the level of detail on FEA accuracy in the patient specific approach. Results: Our results demonstrate that in certain cases, the generalized approach can ensure the same accuracy as the patient specific approach. Therefore, considering high cost effectiveness of the generalized approach, we identify it as more feasible in the context of TAVR. Furthermore, we suggest that high level of detail can improve the reproducibility of modeling results in the patient specific approach. Conclusions: Our findings may help medical engineers to better understand the peculiarities of both approaches and therefore make the right decision when choosing a particular approach for computer modeling. Future studies are required to validate our observations.
ASJC Scopus subject areas
- Computer Science Applications
- Health Informatics