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Emerging 3D technologies and applications within congenital heart disease: teach, predict, plan and guide.
Salavitabar, Arash; Figueroa, C Alberto; Lu, Jimmy C; Owens, Sonal T; Axelrod, David M; Zampi, Jeffrey D.
Afiliação
  • Salavitabar A; C.S. Mott Children's Hospital, University of Michigan Congenital Heart Center, Ann Arbor, MI 48109, USA.
  • Figueroa CA; Departments of Biomedical Engineering & Surgery, University of Michigan, Ann Arbor, MI 48109, USA.
  • Lu JC; C.S. Mott Children's Hospital, University of Michigan Congenital Heart Center, Ann Arbor, MI 48109, USA.
  • Owens ST; C.S. Mott Children's Hospital, University of Michigan Congenital Heart Center, Ann Arbor, MI 48109, USA.
  • Axelrod DM; Division of Pediatric Cardiology, Department of Pediatrics, Stanford University School of Medicine, Palo Alto, CA 94304, USA.
  • Zampi JD; C.S. Mott Children's Hospital, University of Michigan Congenital Heart Center, Ann Arbor, MI 48109, USA.
Future Cardiol ; 16(6): 695-709, 2020 11.
Article em En | MEDLINE | ID: mdl-32628520
3D visualization technologies have evolved to become a mainstay in the management of congenital heart disease (CHD) with a growing presence within multiple facets. Printed and virtual 3D models allow for a more comprehensive approach to educating trainees and care team members. Computational fluid dynamics can take 3D modeling to the next level, by predicting post-procedural outcomes and helping to determine surgical approach. 3D printing and extended reality are developing resources for pre-procedural planning and intra-procedural guidance with the potential to revolutionize decision-making and procedural success. Challenges still remain within existing technologies and their applications to the CHD field. Addressing these gaps, both by those within and outside of CHD, will transform education and patient care within our field.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Cardiopatias Congênitas Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Cardiopatias Congênitas Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article