Evidence map›Paper›PMID 42205916›Full record

ArticleJMIR XR and spatial computing2025

Virtual Reality Application for Teaching Complex Congenital Heart Defect Anatomy: Design and Development Study.

Kevin Muneton, David Buyck, Carlos-Eduardo Guerrero-Chalela, Shanti Narasimhan, Paul A Iaizzo

Abstract read
In one paragraph

Article in JMIR XR and spatial computing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Kevin MunetonThe Visible Heart Laboratories, University of Minnesota, B172 Mayo, MMC195, 420 Delaware St SE, Minneapolis, MN, 55455, United States, 1 5618713359.ORCID https://orcid.org/0000-0002-4427-9942
David BuyckDepartment of Bioinformatics and Computational Biology, University of Minnesota, Minneapolis, MN, United States.ORCID https://orcid.org/0000-0003-0255-0172
Carlos-Eduardo Guerrero-Chalela3D Printing and Modelling Centre La Cardio-Andes, Institute of Cardiology, Fundacion Cardioinfantil Instituto de Cardiología, Bogotá, Colombia.ORCID https://orcid.org/0000-0001-8927-4945
Shanti NarasimhanDivision of Pediatric Cardiology, University of Minnesota, Minneapolis, MN, United States.ORCID https://orcid.org/0000-0001-9065-3651
Paul A IaizzoThe Visible Heart Laboratories, University of Minnesota, B172 Mayo, MMC195, 420 Delaware St SE, Minneapolis, MN, 55455, United States, 1 5618713359.ORCID https://orcid.org/0000-0002-7661-352X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Medical education still faces challenges in teaching complex human cardiac anatomy to a wide range of learners, especially in the subject of congenital heart defects. Traditional educational methods such as cadaver dissection and the use of textbooks still face some limitations, for example, specimen availability and student comfort. The objective of this research is to use newer technologies, like virtual reality (VR), to teach the anatomy of congenital heart defects (CHDs) of 3D heart models from real computed tomography (CT)-scan images, to offer a more profound learning experience for learners and mentors. Objective: The objective of this study is to propose and implement an innovative pipeline for a VR-based educational application for CHDs, and to assess its acceptance and suitability for medical education by evaluating potential future users. Methods: Heart images of anonymized CT scans were used to create high-fidelity 3D cardiac models, using Materialise Mimics Core and 3-matic Medical. These models were next integrated into a Unity-powered VR application. A heterogeneous group of cardiologists, biomedical engineers, and medical trainees visiting the Visible Heart Laboratories was invited to this pilot study to assess perceived effectiveness and satisfaction of this VR app for CHD education. Results: A total of 9 participants were included in the study, comprising 4 (44%) cardiologists, 2 (22%) biomedical engineers, and 2 (22%) medical trainees. Mean perception based on potential for CHD education of this VR-app (4.56, SD 0.53), was higher than traditional methods (3.22, SD 0.026 Conclusions: Our developed VR application offers an innovative approach to teaching the complex cardiac anatomy of CHDs using models from CT scans. This research shows how newer technologies can be optimized for medical education with the advantage of 3D visualization and a teaching environment without geographical limitations. Future work should focus on Extended Reality (XR) integration, adding more heart and organ models, as well as performing long-term efficacy studies.

Indexed as

anatomycongenital heart defectcongenital heart diseaseinnovationmedical educationvirtual reality

Identifiers

PMID42205916
PMCPMC13202504

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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.