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Erschienen in: Shape Memory and Superelasticity 2/2022

29.06.2022 | GUEST EDITORIAL

Durability of Nitinol Cardiovascular Devices

verfasst von: Srinidhi Nagaraja, Harshad M. Paranjape, Christopher P. Cheng

Erschienen in: Shape Memory and Superelasticity | Ausgabe 2/2022

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Excerpt

Cardiovascular medical devices are designed and used for a myriad of reasons. They maintain blood flow, exclude aneurysms and dissections, close orifices and communications, and replace the function of valves, vessels, and membranes. With focused attention on the implant’s primary functions, it is easy to forget that an implant also has secondary objectives—to do no harm and stay intact. While loss of device integrity may not lead to immediate clinical sequelae, the potential risk for such events may increase over the lifetime of the device. Thus, durability of an implant is an important design consideration. Additionally, a current trend in the medical technology community is to develop devices that can be implanted through minimally invasive procedures rather than surgical procedures that require fully open access to the anatomy. For these low-profile applications, Nitinol is a frequently used material due to its unique superelastic properties. With the prevalence of cardiovascular disease increasing globally [1], further development of Nitinol-based devices is needed to help treat these patients. …
Literatur
3.
Zurück zum Zitat Allie DE, Hebert CJ, Walker CM (2004) Nitinol stent fractures in the SFA. Endovasc Today 8 Allie DE, Hebert CJ, Walker CM (2004) Nitinol stent fractures in the SFA. Endovasc Today 8
12.
Zurück zum Zitat ASME (2018) Assessing credibility of computational modeling through verification and validation: application to medical devices. ASME, New York ASME (2018) Assessing credibility of computational modeling through verification and validation: application to medical devices. ASME, New York
Metadaten
Titel
Durability of Nitinol Cardiovascular Devices
verfasst von
Srinidhi Nagaraja
Harshad M. Paranjape
Christopher P. Cheng
Publikationsdatum
29.06.2022
Verlag
Springer US
Erschienen in
Shape Memory and Superelasticity / Ausgabe 2/2022
Print ISSN: 2199-384X
Elektronische ISSN: 2199-3858
DOI
https://doi.org/10.1007/s40830-022-00370-5

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