Degradation modeling of poly-l-lactide acid (PLLA) bioresorbable vascular scaffold within a coronary artery.
Degradation modeling of poly-l-lactide acid (PLLA) bioresorbable vascular scaffold within a coronary artery.
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DOI：
10.1515/ntrev-2020-0093
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发表时间：
2020
影响因子：
7.4
通讯作者：
Gu L
中科院分区：
文献类型：
--
作者：
Lin S;Dong P;Zhou C;Dallan LAP;Zimin VN;Pereira GTR;Lee J;Gharaibeh Y;Wilson DL;Bezerra HG;Gu L
在这项工作中，实施并验证了基于应变的降解模型，以更好地了解降解过程中生物可吸收血管支架（BVS）和动脉之间的动态相互作用。将应变调制退化方程集成到商业有限元代码中可以更好地控制和可视化局部力学参数。捕获并可视化动脉内支架支柱的支柱变薄和不连续。质量损失和断裂位置方面的预测结果进行了验证的实验观察记录。此外，结果表明，支架的非均匀降解取决于其展开后的应变分布。在应变较高的位置降解更快，导致支柱变薄和不连续，这导致持续质量损失，以及BVS和动脉之间的贴靠力降低。得到了支架的最大主应变与断裂时间之间的非线性关系，该关系可转化为预测不同力学环境下BVS的降解过程。开发的计算模型提供了对降解过程的更多见解，这可以补充离散的实验数据，以改进BVS的设计和临床管理。
In this work, a strain-based degradation model was implemented and validated to better understand the dynamic interactions between the bioresorbable vascular scaffold (BVS) and the artery during the degradation process. Integrating the strain-modulated degradation equation into commercial finite element codes allows a better control and visualization of local mechanical parameters. Both strut thinning and discontinuity of the stent struts within an artery were captured and visualized. The predicted results in terms of mass loss and fracture locations were validated by the documented experimental observations. In addition, results suggested that the heterogeneous degradation of the stent depends on its strain distribution following deployment. Degradation is faster at the locations with higher strains and resulted in the strut thinning and discontinuity, which contributes to the continuous mass loss, and the reduced contact force between the BVS and artery. A nonlinear relationship between the maximum principal strain of the stent and the fracture time was obtained, which could be transformed to predict the degradation process of the BVS in different mechanical environments. The developed computational model provided more insights into the degradation process, which could complement the discrete experimental data for improving the design and clinical management of the BVS.
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影响因子：
2.1
作者：
Skowronski, Jaroslaw;Wolny, Rafal;Witkowski, Adam
通讯作者：
Witkowski, Adam
DOI：
10.1016/j.mseb.2011.03.013
发表时间：
2011-12-15
影响因子：
3.6
作者：
Wu, Wei;Gastaldi, Dario;Migliavacca, Francesco
通讯作者：
Migliavacca, Francesco
影响因子：
9.7
作者：
Galvin, E.;O'Brien, D.;Lally, C.
通讯作者：
Lally, C.
影响因子：
2.4
作者：
Schiavone, A.;Abunassar, C.;Zhao, L. G.
通讯作者：
Zhao, L. G.
影响因子：
2.4
作者：
Debusschere, Nic;Segers, Patrick;De Beule, Matthieu
通讯作者：
De Beule, Matthieu