The application of 3D printing in preoperative planning for transcatheter aortic valve replacement: a systematic review.
dc.contributor.author | Xenofontos, P | |
dc.contributor.author | Zamani, R | |
dc.contributor.author | Akrami, M | |
dc.date.accessioned | 2022-09-28T14:00:03Z | |
dc.date.issued | 2022-09-01 | |
dc.date.updated | 2022-09-28T13:40:09Z | |
dc.description.abstract | BACKGROUND: Recently, transcatheter aortic valve replacement (TAVR) has been suggested as a less invasive treatment compared to surgical aortic valve replacement, for patients with severe aortic stenosis. Despite the attention, persisting evidence suggests that several procedural complications are more prevalent with the transcatheter approach. Consequently, a systematic review was undertaken to evaluate the application of three-dimensional (3D) printing in preoperative planning for TAVR, as a means of predicting and subsequently, reducing the incidence of adverse events. METHODS: MEDLINE, Web of Science and Embase were searched to identify studies that utilised patient-specific 3D printed models to predict or mitigate the risk of procedural complications. RESULTS: 13 of 219 papers met the inclusion criteria of this review. The eligible studies have shown that 3D printing has most commonly been used to predict the occurrence and severity of paravalvular regurgitation, with relatively high accuracy. Studies have also explored the usefulness of 3D printed anatomical models in reducing the incidence of coronary artery obstruction, new-onset conduction disturbance and aortic annular rapture. CONCLUSION: Patient-specific 3D models can be used in pre-procedural planning for challenging cases, to help deliver personalised treatment. However, the application of 3D printing is not recommended for routine clinical practice, due to practicality issues. | en_GB |
dc.format.extent | 59- | |
dc.format.medium | Electronic | |
dc.identifier.citation | Vol. 21, No. 1, article 59 | en_GB |
dc.identifier.doi | https://doi.org/10.1186/s12938-022-01029-z | |
dc.identifier.uri | http://hdl.handle.net/10871/131010 | |
dc.identifier | ORCID: 0000-0002-2926-8022 (Akrami, Mohammad) | |
dc.language.iso | en | en_GB |
dc.publisher | BMC | en_GB |
dc.relation.url | https://www.ncbi.nlm.nih.gov/pubmed/36050722 | en_GB |
dc.rights | © The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/ publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data | en_GB |
dc.subject | Additive Manufacturing | en_GB |
dc.subject | Rapid Prototyping | en_GB |
dc.subject | SAVR | en_GB |
dc.subject | TAVI | en_GB |
dc.subject | Transcatheter aortic valve implantation | en_GB |
dc.title | The application of 3D printing in preoperative planning for transcatheter aortic valve replacement: a systematic review. | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2022-09-28T14:00:03Z | |
dc.identifier.issn | 1475-925X | |
exeter.article-number | 59 | |
exeter.place-of-publication | England | |
dc.description | This is the final version. Available from BMC via the DOI in this record. | en_GB |
dc.identifier.journal | Biomedical Engineering Online | en_GB |
dc.relation.ispartof | Biomed Eng Online, 21(1) | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2022-08-24 | |
dc.rights.license | CC BY | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2022-09-01 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2022-09-28T13:57:15Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2022-09-28T14:00:09Z | |
refterms.panel | B | en_GB |
refterms.dateFirstOnline | 2022-09-01 |
Files in this item
This item appears in the following Collection(s)
Except where otherwise noted, this item's licence is described as © The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits
use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original
author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third
party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material.
If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or
exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit
http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/
publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data