ArticleJMIR cardio2020
A Novel Virtual Reality Medical Image Display System for Group Discussions of Congenital Heart Disease: Development and Usability Testing.
Article in JMIR cardio, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.
- Extended reality for procedural planning and guidance in structural heart disease - a review of the state-of-the-art.The international journal of cardiovascular imaging · 2023Pooled it
- Computer-Based Simulation Technologies in Pediatric Cardiovascular Diseases: A Systematic Review of Applications and Outcomes.Healthcare (Basel, Switzerland) · 2026Review
- Bringing paediatric coronary artery abnormalities into view: the role of virtual reality.European heart journal. Imaging methods and practice · 2026Article
- Precision planning in congenital heart disease: the impact of 3D printing and virtual simulation.3D printing in medicine · 2026Article
- Artificial intelligence, extended reality and computational modelling in cross-sectional cardiovascular imaging in congenital heart disease: a narrative review.Cardiovascular diagnosis and therapy · 2026Review
- Advancements in 3D modeling technologies for congenital heart disease: integrating 3D printing, virtual reality, and holograms.Pediatric radiology · 2026Review
- The Use of Metaverse in Radiology: A Systematic Review.Health science reports · 2025Review
- Usability Evaluation of a Mixed Reality Platform in Pediatric Interventional Cardiology by Specialist Physicians: Mixed Methods Study.JMIR formative research · 2025Article
- Comparing assisting technologies for proficiency in cardiac morphology: 3D printing and mixed reality versus CT slice images for morphological understanding of congenital heart defects by medical students.Anatomical sciences education · 2025Article
- Greater than the sum of its parts: multimodality imaging in adults with congenital heart disease.Cardiovascular diagnosis and therapy · 2024Review
- Role of eXtended Reality use in medical imaging interpretation for pre-surgical planning and intraoperative augmentation.Journal of medical imaging (Bellingham, Wash.) · 2024Review
- Investigation of the Clinical Value of Four Visualization Modalities for Congenital Heart Disease.Journal of cardiovascular development and disease · 2024Article
- Cardiovascular Computed Tomography in the Diagnosis of Cardiovascular Disease: Beyond Lumen Assessment.Journal of cardiovascular development and disease · 2024Review
- Computer-Based Simulation for Pediatric Cardiovascular Disease Management: A Policy Brief.Global pediatric health · 2024Article
- The Use of Virtual Reality Learning on Transition Education in Adolescents with Congenital Heart Disease.Pediatric cardiology · 2023Article
- Comparative effectiveness of virtual reality (VR) vs 3D printed models of congenital heart disease in resident and nurse practitioner educational experience.3D printing in medicine · 2023Article
- HEARTBEAT4D: An Open-source Toolbox for Turning 4D Cardiac CT into VR/AR.Journal of digital imaging · 2022Article
- The Virtual Reality Technology Effects and Features in Cardiology Interventions Training: A Scoping Review.Medical journal of the Islamic Republic of Iran · 2022Article
- Virtual Simulation in Undergraduate Medical Education: A Scoping Review of Recent Practice.Frontiers in medicine · 2022Article
- Clinical Value of Virtual Reality versus 3D Printing in Congenital Heart Disease.Biomolecules · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe complex 3-dimensional (3D) nature of anatomical abnormalities in congenital heart disease (CHD) necessitates multidisciplinary group discussions centered around the review of medical images such as magnetic resonance imaging. Currently, group viewings of medical images are constrained to 2-dimensional (2D) cross-sectional displays of 3D scans. However, 2D display methods could introduce additional challenges since they require physicians to accurately reconstruct the images mentally into 3D anatomies for diagnosis, staging, and planning of surgery or other therapies. Virtual reality (VR) software may enhance diagnosis and care of CHD via 3D visualization of medical images. Yet, present-day VR developments for medicine lack the emphasis on multiuser collaborative environments, and the effect of displays and level of immersion for diagnosing CHDs have not been studied.
objectiveThe objective of the study was to evaluate and compare the diagnostic accuracies and preferences of various display systems, including the conventional 2D display and a novel group VR software, in group discussions of CHD.
methodsA total of 22 medical trainees consisting of 1 first-year, 10 second-year, 4 third-year, and 1 fourth-year residents and 6 medical students, who volunteered for the study, were formed into groups of 4 to 5 participants. Each group discussed three diagnostic cases of CHD with varying structural complexity using conventional 2D display and group VR software. A group VR software, Cardiac Review 3D, was developed by our team using the Unity engine. By using different display hardware, VR was classified into nonimmersive and full-immersive settings. The discussion time, diagnostic accuracy score, and peer assessment were collected to capture the group and individual diagnostic performances. The diagnostic accuracies for each participant were scored by two experienced cardiologists following a predetermined answer rubric. At the end of the study, all participants were provided a survey to rank their preferences of the display systems for performing group medical discussions.
resultsDiagnostic accuracies were highest when groups used the full-immersive VR compared with the conventional and nonimmersive VR (χ
conclusionsThe most preferred display system among medical trainees for visualizing medical images during group diagnostic discussions is full-immersive VR, with a trend toward improved diagnostic accuracy in complex anatomical abnormalities. Immersion is a crucial feature of displays of medical images for diagnostic accuracy in collaborative discussions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.