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Virtual Reality to Enhance Understanding of Congenital Heart Disease

Research output: Contribution to journalArticlepeer-review

Abstract

This retrospective study evaluated the clinical utility of Virtual Reality (VR) in visualizing extracardiac CHD (eCHD) abnormalities involving great vessels, pericardium, or structures outside the heart in nine pediatric patients. Anonymized computed tomography angiography (CTA) DICOM images were processed using Elucis (Version 1.10 elucis next) software to generate interactive 3D models via segmentation. VR models were reviewed for a variety of cases: vascular rings (two with right aortic arch, aberrant left subclavian artery, and diverticulum of Kommerell; two with double aortic arch), pericardial teratomas (n = 2), right superior vena cava draining into the left atrium (n = 1), left pulmonary artery sling (n = 1), and aortopulmonary window (n = 1). VR video images were presented during weekly heart center conferences. A survey conducted among heart center staff assessed the perceived value of VR in clinical practice. A total of 62% found traditional diagnostic modalities very effective, 100% considered VR a valuable diagnostic tool, 65% responded positively to VR image resolution, 50% highlighted its educational benefit, 81% believed VR enhanced diagnostic accuracy and surgical planning, and 100% would recommend its use to colleagues. This study demonstrates the successful integration of VR-based segmentation into clinical workflows, underlining its potential as both an educational resource and a tool to support diagnostic and surgical decision-making.

Original languageEnglish (US)
Article number495
JournalJournal of Cardiovascular Development and Disease
Volume12
Issue number12
DOIs
StatePublished - Dec 2025

Bibliographical note

Publisher Copyright:
© 2025 by the authors.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • congenital heart disease
  • education
  • families
  • virtual reality

PubMed: MeSH publication types

  • Journal Article

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