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Clinical 3D modeling to guide pediatric cardiothoracic surgery and intervention using 3D printed anatomic models, computer aided design and virtual reality

BACKGROUND: Surgical and catheter-based interventions for congenital heart disease require precise understanding of complex anatomy. The use of three-dimensional (3D) printing and virtual reality to enhance visuospatial understanding has been well documented, but integration of these methods into ro...

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Autores principales: Ghosh, Reena M., Jolley, Matthew A., Mascio, Christopher E., Chen, Jonathan M., Fuller, Stephanie, Rome, Jonathan J., Silvestro, Elizabeth, Whitehead, Kevin K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9027072/
https://www.ncbi.nlm.nih.gov/pubmed/35445896
http://dx.doi.org/10.1186/s41205-022-00137-9
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author Ghosh, Reena M.
Jolley, Matthew A.
Mascio, Christopher E.
Chen, Jonathan M.
Fuller, Stephanie
Rome, Jonathan J.
Silvestro, Elizabeth
Whitehead, Kevin K.
author_facet Ghosh, Reena M.
Jolley, Matthew A.
Mascio, Christopher E.
Chen, Jonathan M.
Fuller, Stephanie
Rome, Jonathan J.
Silvestro, Elizabeth
Whitehead, Kevin K.
author_sort Ghosh, Reena M.
collection PubMed
description BACKGROUND: Surgical and catheter-based interventions for congenital heart disease require precise understanding of complex anatomy. The use of three-dimensional (3D) printing and virtual reality to enhance visuospatial understanding has been well documented, but integration of these methods into routine clinical practice has not been well described. We review the growth and development of a clinical 3D modeling service to inform procedural planning within a high-volume pediatric heart center. METHODS: Clinical 3D modeling was performed using cardiac magnetic resonance (CMR) or computed tomography (CT) derived data. Image segmentation and post-processing was performed using FDA-approved software. Patient-specific anatomy was visualized using 3D printed models, digital flat screen models and virtual reality. Surgical repair options were digitally designed using proprietary and open-source computer aided design (CAD) based modeling tools. RESULTS: From 2018 to 2020 there were 112 individual 3D modeling cases performed, 16 for educational purposes and 96 clinically utilized for procedural planning. Over the 3-year period, demand for clinical modeling tripled and in 2020, 3D modeling was requested in more than one-quarter of STAT category 3, 4 and 5 cases. The most common indications for modeling were complex biventricular repair (n = 30, 31%) and repair of multiple ventricular septal defects (VSD) (n = 11, 12%). CONCLUSIONS: Using a multidisciplinary approach, clinical application of 3D modeling can be seamlessly integrated into pre-procedural care for patients with congenital heart disease. Rapid expansion and increased demand for utilization of these tools within a high-volume center demonstrate the high value conferred on these techniques by surgeons and interventionalists alike. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41205-022-00137-9.
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spelling pubmed-90270722022-04-23 Clinical 3D modeling to guide pediatric cardiothoracic surgery and intervention using 3D printed anatomic models, computer aided design and virtual reality Ghosh, Reena M. Jolley, Matthew A. Mascio, Christopher E. Chen, Jonathan M. Fuller, Stephanie Rome, Jonathan J. Silvestro, Elizabeth Whitehead, Kevin K. 3D Print Med Research BACKGROUND: Surgical and catheter-based interventions for congenital heart disease require precise understanding of complex anatomy. The use of three-dimensional (3D) printing and virtual reality to enhance visuospatial understanding has been well documented, but integration of these methods into routine clinical practice has not been well described. We review the growth and development of a clinical 3D modeling service to inform procedural planning within a high-volume pediatric heart center. METHODS: Clinical 3D modeling was performed using cardiac magnetic resonance (CMR) or computed tomography (CT) derived data. Image segmentation and post-processing was performed using FDA-approved software. Patient-specific anatomy was visualized using 3D printed models, digital flat screen models and virtual reality. Surgical repair options were digitally designed using proprietary and open-source computer aided design (CAD) based modeling tools. RESULTS: From 2018 to 2020 there were 112 individual 3D modeling cases performed, 16 for educational purposes and 96 clinically utilized for procedural planning. Over the 3-year period, demand for clinical modeling tripled and in 2020, 3D modeling was requested in more than one-quarter of STAT category 3, 4 and 5 cases. The most common indications for modeling were complex biventricular repair (n = 30, 31%) and repair of multiple ventricular septal defects (VSD) (n = 11, 12%). CONCLUSIONS: Using a multidisciplinary approach, clinical application of 3D modeling can be seamlessly integrated into pre-procedural care for patients with congenital heart disease. Rapid expansion and increased demand for utilization of these tools within a high-volume center demonstrate the high value conferred on these techniques by surgeons and interventionalists alike. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41205-022-00137-9. Springer International Publishing 2022-04-21 /pmc/articles/PMC9027072/ /pubmed/35445896 http://dx.doi.org/10.1186/s41205-022-00137-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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.
spellingShingle Research
Ghosh, Reena M.
Jolley, Matthew A.
Mascio, Christopher E.
Chen, Jonathan M.
Fuller, Stephanie
Rome, Jonathan J.
Silvestro, Elizabeth
Whitehead, Kevin K.
Clinical 3D modeling to guide pediatric cardiothoracic surgery and intervention using 3D printed anatomic models, computer aided design and virtual reality
title Clinical 3D modeling to guide pediatric cardiothoracic surgery and intervention using 3D printed anatomic models, computer aided design and virtual reality
title_full Clinical 3D modeling to guide pediatric cardiothoracic surgery and intervention using 3D printed anatomic models, computer aided design and virtual reality
title_fullStr Clinical 3D modeling to guide pediatric cardiothoracic surgery and intervention using 3D printed anatomic models, computer aided design and virtual reality
title_full_unstemmed Clinical 3D modeling to guide pediatric cardiothoracic surgery and intervention using 3D printed anatomic models, computer aided design and virtual reality
title_short Clinical 3D modeling to guide pediatric cardiothoracic surgery and intervention using 3D printed anatomic models, computer aided design and virtual reality
title_sort clinical 3d modeling to guide pediatric cardiothoracic surgery and intervention using 3d printed anatomic models, computer aided design and virtual reality
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9027072/
https://www.ncbi.nlm.nih.gov/pubmed/35445896
http://dx.doi.org/10.1186/s41205-022-00137-9
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