Three-dimensional virtual surgery models for percutaneous coronary intervention (PCI) optimization strategies.
Three-dimensional virtual surgery models for percutaneous coronary intervention (PCI) optimization strategies.
复制标题
用于经皮冠状动脉介入治疗(PCI)优化策略的三维虚拟手术模型
DOI:
10.1038/srep10945
复制
发表时间:
2015-06-04
影响因子:
4.6
通讯作者:
Liu L
中科院分区:
文献类型:
--
作者:
Wang H;Liu J;Zheng X;Rong X;Zheng X;Peng H;Silber-Li Z;Li M;Liu L
Percutaneous coronary intervention (PCI), especially coronary stent implantation, has been shown to be an effective treatment for coronary artery disease. However, in-stent restenosis is one of the longstanding unsolvable problems following PCI. Although stents implanted inside narrowed vessels recover normal flux of blood flows, they instantaneously change the wall shear stress (WSS) distribution on the vessel surface. Improper stent implantation positions bring high possibilities of restenosis as it enlarges the low WSS regions and subsequently stimulates more epithelial cell outgrowth on vessel walls. To optimize the stent position for lowering the risk of restenosis, we successfully established a digital three-dimensional (3-D) model based on a real clinical coronary artery and analysed the optimal stenting strategies by computational simulation. Via microfabrication and 3-D printing technology, the digital model was also converted into in vitro microfluidic models with 3-D micro channels. Simultaneously, physicians placed real stents inside them; i.e., they performed “virtual surgeries”. The hydrodynamic experimental results showed that the microfluidic models highly inosculated the simulations. Therefore, our study not only demonstrated that the half-cross stenting strategy could maximally reduce restenosis risks but also indicated that 3-D printing combined with clinical image reconstruction is a promising method for future angiocardiopathy research.
登录
查看更多内容
影响因子:
2.1
作者:
Tu, Shengxian;Jing, Jing;Holm, Niels R.;Onsea, Kevin;Zhang, Tao;Adriaenssens, Tom;Dubois, Christophe;Desmet, Walter;Thuesen, Leif;Chen, Yundai;Reiber, Johan H. C.
通讯作者:
Reiber, Johan H. C.
DOI:
10.1016/j.ejmp.2013.02.001
发表时间:
2013-09-01
影响因子:
3.4
作者:
Chaichana, Thanapong;Sun, Zhonghua;Jewkes, James
通讯作者:
Jewkes, James
影响因子:
2.3
作者:
Naganuma, Toru;Chieffo, Alaide;Colombo, Antonio
通讯作者:
Colombo, Antonio
影响因子:
4.7
作者:
Kanaris, A. G.;Anastasiou, A. D.;Paras, S. V.
通讯作者:
Paras, S. V.
影响因子:
2.4
作者:
van der Giessen, Alina G.;Groen, Harald C.;Gijsen, Frank J. H.
通讯作者:
Gijsen, Frank J. H.