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Three-dimensional virtual surgery models for percutaneous coronary intervention (PCI) optimization strategies
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 reco...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4455241/ https://www.ncbi.nlm.nih.gov/pubmed/26042609 http://dx.doi.org/10.1038/srep10945 |
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author | Wang, Hujun Liu, Jinghua Zheng, Xu Rong, Xiaohui Zheng, Xuwei Peng, Hongyu Silber-Li, Zhanghua Li, Mujun Liu, Liyu |
author_facet | Wang, Hujun Liu, Jinghua Zheng, Xu Rong, Xiaohui Zheng, Xuwei Peng, Hongyu Silber-Li, Zhanghua Li, Mujun Liu, Liyu |
author_sort | Wang, Hujun |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4455241 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-44552412015-06-10 Three-dimensional virtual surgery models for percutaneous coronary intervention (PCI) optimization strategies Wang, Hujun Liu, Jinghua Zheng, Xu Rong, Xiaohui Zheng, Xuwei Peng, Hongyu Silber-Li, Zhanghua Li, Mujun Liu, Liyu Sci Rep Article 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. Nature Publishing Group 2015-06-04 /pmc/articles/PMC4455241/ /pubmed/26042609 http://dx.doi.org/10.1038/srep10945 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Wang, Hujun Liu, Jinghua Zheng, Xu Rong, Xiaohui Zheng, Xuwei Peng, Hongyu Silber-Li, Zhanghua Li, Mujun Liu, Liyu Three-dimensional virtual surgery models for percutaneous coronary intervention (PCI) optimization strategies |
title | Three-dimensional virtual surgery models for percutaneous coronary intervention (PCI) optimization strategies |
title_full | Three-dimensional virtual surgery models for percutaneous coronary intervention (PCI) optimization strategies |
title_fullStr | Three-dimensional virtual surgery models for percutaneous coronary intervention (PCI) optimization strategies |
title_full_unstemmed | Three-dimensional virtual surgery models for percutaneous coronary intervention (PCI) optimization strategies |
title_short | Three-dimensional virtual surgery models for percutaneous coronary intervention (PCI) optimization strategies |
title_sort | three-dimensional virtual surgery models for percutaneous coronary intervention (pci) optimization strategies |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4455241/ https://www.ncbi.nlm.nih.gov/pubmed/26042609 http://dx.doi.org/10.1038/srep10945 |
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