Assessment of post-infarct ventricular septal defects through 3D printing and statistical shape analysis

© 2023 Giovanni Biglino. This work is licensed under the Creative Commons Attribution 4.0 License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Detalles Bibliográficos
Autores: Asif, Ashar, Shearn, Andrew I. U., Turner, Mark S., Ordoñez, María V., Sophocleous, Froso, Méndez-Santos, Ana, Valverde, Israel, Angelini, Gianni D., Caputo, Massimo, Hamilton, Mark C. K., Biglino, Giovanni
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/349643
Acceso en línea:http://hdl.handle.net/10261/349643
Access Level:acceso abierto
Palabra clave:3D printing
Myocardial infarction
Statistical shape modeling
Ventricular septal defect
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spelling Assessment of post-infarct ventricular septal defects through 3D printing and statistical shape analysisAsif, AsharShearn, Andrew I. U.Turner, Mark S.Ordoñez, María V.Sophocleous, FrosoMéndez-Santos, AnaValverde, IsraelAngelini, Gianni D.Caputo, MassimoHamilton, Mark C. K.Biglino, Giovanni3D printingMyocardial infarctionStatistical shape modelingVentricular septal defect© 2023 Giovanni Biglino. This work is licensed under the Creative Commons Attribution 4.0 License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/Background: Post-infarct ventricular septal defect (PIVSD) is a serious complication of myocardial infarction. We evaluated 3D-printing models in PIVSD clinical assessment and the feasibility of statistical shape modeling for morphological analysis of the defects. Methods: Models (n = 15) reconstructed from computed tomography data were evaluated by clinicians (n = 8). Statistical shape modeling was performed on 3D meshes to calculate the mean morphological configuration of the defects. Results: Clinicians’ evaluation highlighted the models’ utility in displaying defects for interventional/surgical planning, education/training and device development. However, models lack dynamic representation. Morphological analysis was feasible and revealed oval-shaped (n = 12) and complex channel-like (n = 3) defects. Conclusion: 3D-PIVSD models can complement imaging data for teaching and procedural planning. Statistical shape modeling is feasible in this scenario.The authors gratefully acknowledge the support of the British Heart Foundation (CH/17/1/32804), the Bristol BHF Accelerator Award (AA/18/1/34219), The Grand Appeal (Bristol Children’s Hospital Charity), and the Bristol National Institute for Health Research (NIHR) Biomedical Research Centre (BRC).Peer reviewedFuture MedicineBritish Heart FoundationBristol Biomedical Research CentreNational Institute for Health Research (UK)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202420242023info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/349643reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésAsif, Ashar; Shearn, Andrew I. U.; Turner, Mark S.; Ordoñez, María V.; Sophocleous, Froso; Méndez-Santos, Ana; Valverde, Israel; Angelini, Gianni D.; Caputo, Massimo; Hamilton, Mark C. K.; Biglino, Giovanni; 2023; "Assessment of post-infarct ventricular septal defects through 3D printing and statistical shape analysis: Supplementary table [Dataset]"; Figshare; version 1; https://doi.org/10.25402/3DP.21915378.v1https://doi.org/10.2217/3dp-2022-0012Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3496432026-05-22T06:33:51Z
dc.title.none.fl_str_mv Assessment of post-infarct ventricular septal defects through 3D printing and statistical shape analysis
title Assessment of post-infarct ventricular septal defects through 3D printing and statistical shape analysis
spellingShingle Assessment of post-infarct ventricular septal defects through 3D printing and statistical shape analysis
Asif, Ashar
3D printing
Myocardial infarction
Statistical shape modeling
Ventricular septal defect
title_short Assessment of post-infarct ventricular septal defects through 3D printing and statistical shape analysis
title_full Assessment of post-infarct ventricular septal defects through 3D printing and statistical shape analysis
title_fullStr Assessment of post-infarct ventricular septal defects through 3D printing and statistical shape analysis
title_full_unstemmed Assessment of post-infarct ventricular septal defects through 3D printing and statistical shape analysis
title_sort Assessment of post-infarct ventricular septal defects through 3D printing and statistical shape analysis
dc.creator.none.fl_str_mv Asif, Ashar
Shearn, Andrew I. U.
Turner, Mark S.
Ordoñez, María V.
Sophocleous, Froso
Méndez-Santos, Ana
Valverde, Israel
Angelini, Gianni D.
Caputo, Massimo
Hamilton, Mark C. K.
Biglino, Giovanni
author Asif, Ashar
author_facet Asif, Ashar
Shearn, Andrew I. U.
Turner, Mark S.
Ordoñez, María V.
Sophocleous, Froso
Méndez-Santos, Ana
Valverde, Israel
Angelini, Gianni D.
Caputo, Massimo
Hamilton, Mark C. K.
Biglino, Giovanni
author_role author
author2 Shearn, Andrew I. U.
Turner, Mark S.
Ordoñez, María V.
Sophocleous, Froso
Méndez-Santos, Ana
Valverde, Israel
Angelini, Gianni D.
Caputo, Massimo
Hamilton, Mark C. K.
Biglino, Giovanni
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv British Heart Foundation
Bristol Biomedical Research Centre
National Institute for Health Research (UK)
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv 3D printing
Myocardial infarction
Statistical shape modeling
Ventricular septal defect
topic 3D printing
Myocardial infarction
Statistical shape modeling
Ventricular septal defect
description © 2023 Giovanni Biglino. This work is licensed under the Creative Commons Attribution 4.0 License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
publishDate 2023
dc.date.none.fl_str_mv 2023
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/349643
url http://hdl.handle.net/10261/349643
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Asif, Ashar; Shearn, Andrew I. U.; Turner, Mark S.; Ordoñez, María V.; Sophocleous, Froso; Méndez-Santos, Ana; Valverde, Israel; Angelini, Gianni D.; Caputo, Massimo; Hamilton, Mark C. K.; Biglino, Giovanni; 2023; "Assessment of post-infarct ventricular septal defects through 3D printing and statistical shape analysis: Supplementary table [Dataset]"; Figshare; version 1; https://doi.org/10.25402/3DP.21915378.v1
https://doi.org/10.2217/3dp-2022-0012
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Future Medicine
publisher.none.fl_str_mv Future Medicine
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,81155

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