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3D printed patient-specific aortic root models with internal sensors for minimally invasive applications
Minimally invasive surgeries have numerous advantages, yet complications may arise from limited knowledge about the anatomical site targeted for the delivery of therapy. Transcatheter aortic valve replacement (TAVR) is a minimally invasive procedure for treating aortic stenosis. Here, we demonstrate...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7455187/ https://www.ncbi.nlm.nih.gov/pubmed/32923641 http://dx.doi.org/10.1126/sciadv.abb4641 |
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author | Haghiashtiani, Ghazaleh Qiu, Kaiyan Zhingre Sanchez, Jorge D. Fuenning, Zachary J. Nair, Priya Ahlberg, Sarah E. Iaizzo, Paul A. McAlpine, Michael C. |
author_facet | Haghiashtiani, Ghazaleh Qiu, Kaiyan Zhingre Sanchez, Jorge D. Fuenning, Zachary J. Nair, Priya Ahlberg, Sarah E. Iaizzo, Paul A. McAlpine, Michael C. |
author_sort | Haghiashtiani, Ghazaleh |
collection | PubMed |
description | Minimally invasive surgeries have numerous advantages, yet complications may arise from limited knowledge about the anatomical site targeted for the delivery of therapy. Transcatheter aortic valve replacement (TAVR) is a minimally invasive procedure for treating aortic stenosis. Here, we demonstrate multimaterial three-dimensional printing of patient-specific soft aortic root models with internally integrated electronic sensor arrays that can augment testing for TAVR preprocedural planning. We evaluated the efficacies of the models by comparing their geometric fidelities with postoperative data from patients, as well as their in vitro hemodynamic performances in cases with and without leaflet calcifications. Furthermore, we demonstrated that internal sensor arrays can facilitate the optimization of bioprosthetic valve selections and in vitro placements via mapping of the pressures applied on the critical regions of the aortic anatomies. These models may pave exciting avenues for mitigating the risks of postoperative complications and facilitating the development of next-generation medical devices. |
format | Online Article Text |
id | pubmed-7455187 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-74551872020-09-11 3D printed patient-specific aortic root models with internal sensors for minimally invasive applications Haghiashtiani, Ghazaleh Qiu, Kaiyan Zhingre Sanchez, Jorge D. Fuenning, Zachary J. Nair, Priya Ahlberg, Sarah E. Iaizzo, Paul A. McAlpine, Michael C. Sci Adv Research Articles Minimally invasive surgeries have numerous advantages, yet complications may arise from limited knowledge about the anatomical site targeted for the delivery of therapy. Transcatheter aortic valve replacement (TAVR) is a minimally invasive procedure for treating aortic stenosis. Here, we demonstrate multimaterial three-dimensional printing of patient-specific soft aortic root models with internally integrated electronic sensor arrays that can augment testing for TAVR preprocedural planning. We evaluated the efficacies of the models by comparing their geometric fidelities with postoperative data from patients, as well as their in vitro hemodynamic performances in cases with and without leaflet calcifications. Furthermore, we demonstrated that internal sensor arrays can facilitate the optimization of bioprosthetic valve selections and in vitro placements via mapping of the pressures applied on the critical regions of the aortic anatomies. These models may pave exciting avenues for mitigating the risks of postoperative complications and facilitating the development of next-generation medical devices. American Association for the Advancement of Science 2020-08-28 /pmc/articles/PMC7455187/ /pubmed/32923641 http://dx.doi.org/10.1126/sciadv.abb4641 Text en Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/ https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Research Articles Haghiashtiani, Ghazaleh Qiu, Kaiyan Zhingre Sanchez, Jorge D. Fuenning, Zachary J. Nair, Priya Ahlberg, Sarah E. Iaizzo, Paul A. McAlpine, Michael C. 3D printed patient-specific aortic root models with internal sensors for minimally invasive applications |
title | 3D printed patient-specific aortic root models with internal sensors for minimally invasive applications |
title_full | 3D printed patient-specific aortic root models with internal sensors for minimally invasive applications |
title_fullStr | 3D printed patient-specific aortic root models with internal sensors for minimally invasive applications |
title_full_unstemmed | 3D printed patient-specific aortic root models with internal sensors for minimally invasive applications |
title_short | 3D printed patient-specific aortic root models with internal sensors for minimally invasive applications |
title_sort | 3d printed patient-specific aortic root models with internal sensors for minimally invasive applications |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7455187/ https://www.ncbi.nlm.nih.gov/pubmed/32923641 http://dx.doi.org/10.1126/sciadv.abb4641 |
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