Domain expert evaluation of advanced visual computing solutions and 3D printing for the planning of the left atrial appendage occluder interventions
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- dc.contributor.author Mill, Jordi
- dc.contributor.author Montoliu, Helena
- dc.contributor.author Moustafa, Abdel-Hakim
- dc.contributor.author Olivares, Andy L.
- dc.contributor.author Albors, Carlos
- dc.contributor.author Aguado, Ainhoa M.
- dc.contributor.author Medina, Elodie
- dc.contributor.author Ceresa, Mario
- dc.contributor.author Freixa, Xavier
- dc.contributor.author Arzamendi, Dabit
- dc.contributor.author Cochet, Hubert
- dc.contributor.author Camara, Oscar
- dc.date.accessioned 2023-03-21T07:05:46Z
- dc.date.available 2023-03-21T07:05:46Z
- dc.date.issued 2023
- dc.description.abstract Advanced visual computing solutions and three-dimensional (3D) printing are moving from engineering to clinical pipelines for training, planning, and guidance of complex interventions. 3D imaging and rendering, virtual reality (VR), and in-silico simulations, as well as 3D printing technologies provide complementary information to better understand the structure and function of the organs, thereby improving and personalizing clinical decisions. In this study, we evaluated several advanced visual computing solutions, such as web-based 3D imaging visualization, VR, and computational fluid simulations, together with 3D printing, for the planning of the left atrial appendage occluder (LAAO) device implantations. Six cardiologists tested different technologies in pre-operative data of five patients to identify the usability, limitations, and requirements for the clinical translation of each technology through a qualitative questionnaire. The obtained results demonstrate the potential impact of advanced visual computing solutions and 3D printing to improve the planning of LAAO interventions as well as the need for their integration into a single workflow to be used in a clinical environment.
- dc.description.sponsorship This work was supported by the Spanish Ministry of Science, Innovation and Universities under the Retos I+D Programme (RTI2018-101193-B-I00), the Maria de Maeztu Units of Excellence Programme (MDM 2015-0502), and the Spanish Ministry of Economy and Competitiveness under the Programme for the Formation of Doctors (PRE2018-084062). In addition, this work was supported by the H2020 EU SimCardioTest project (Digital transformation in Health and Care SC1-DTH-06-2020; grant agreement No. 101016496).
- dc.format.mimetype application/pdf
- dc.identifier.citation Mill J, Montoliu H, Moustafa AH, Olivares AL, Albors C, Aguado AM, et al. Domain expert evaluation of advanced visual computing solutions and 3D printing for the planning of the left atrial appendage occluder interventions. Int J Bioprint. 2023;9(1):640. DOI: 10.18063/ijb.v9i1.640
- dc.identifier.doi http://dx.doi.org/10.18063/ijb.v9i1.640
- dc.identifier.issn 2424-8002
- dc.identifier.uri http://hdl.handle.net/10230/56291
- dc.language.iso eng
- dc.publisher Whioce
- dc.relation.ispartof International Journal of Bioprinting. 2023;9(1):258-74
- dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/RTI2018-101193-B-I00
- dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/101016496
- dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PRE2018-084062
- dc.rights © 2022 Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution License, permitting distribution, and reproduction in any medium, provided the original work is properly cited.
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri http://creativecommons.org/licenses/by/4.0/
- dc.subject.keyword 3D printing
- dc.subject.keyword In silico simulations
- dc.subject.keyword Left atrial appendage occlusion
- dc.subject.keyword Preinterventional planning
- dc.subject.keyword Virtual reality
- dc.title Domain expert evaluation of advanced visual computing solutions and 3D printing for the planning of the left atrial appendage occluder interventions
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/publishedVersion