Computational Modeling to Predict Fatigue Behavior of NiTi Stents: What Do We Need?
AbstractNiTi (nickel-titanium) stents are nowadays commonly used for the percutaneous treatment of peripheral arterial disease. However, their effectiveness is still debated in the clinical field. In fact a peculiar cyclic biomechanical environment is created before and after stent implantation, with the risk of device fatigue failure. An accurate study of the device fatigue behavior is of primary importance to ensure a successful stenting procedure. Regulatory authorities recognize the possibility of performing computational analyses instead of experimental tests for the assessment of medical devices. However, confidence in numerical methods is only possible after verification and validation of the models used. For the case of NiTi stents, mechanical properties are strongly dependent on the device dimensions and the whole treatments undergone during manufacturing process. Hence, special attention should be paid to the accuracy of the description of the device geometry and the material properties implementation into the numerical code, as well as to the definition of the fatigue limit. In this paper, a path for setting up an effective numerical model for NiTi stent fatigue assessment is proposed and the results of its application in a specific case study are illustrated. View Full-Text
Share & Cite This Article
Dordoni, E.; Petrini, L.; Wu, W.; Migliavacca, F.; Dubini, G.; Pennati, G. Computational Modeling to Predict Fatigue Behavior of NiTi Stents: What Do We Need? J. Funct. Biomater. 2015, 6, 299-317.
Dordoni E, Petrini L, Wu W, Migliavacca F, Dubini G, Pennati G. Computational Modeling to Predict Fatigue Behavior of NiTi Stents: What Do We Need? Journal of Functional Biomaterials. 2015; 6(2):299-317.Chicago/Turabian Style
Dordoni, Elena; Petrini, Lorenza; Wu, Wei; Migliavacca, Francesco; Dubini, Gabriele; Pennati, Giancarlo. 2015. "Computational Modeling to Predict Fatigue Behavior of NiTi Stents: What Do We Need?" J. Funct. Biomater. 6, no. 2: 299-317.