Evidence map›Paper›PMID 39517006›Full record

ArticleAnatomical sciences education2025

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.

Henrik Brun, Matthias Lippert, Thomas Langø, Juan Sanchez-Margallo, Francisco Sanchez-Margallo, Ole Jakob Elle

Abstract readComparative Study
In one paragraph

Article in Anatomical sciences education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. 3D printing in medicine: bridging imaging, education, and practice.Archives of medical sciences. Atherosclerotic diseases · 2025
    Article
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

6 authors.

Henrik BrunThe Intervention Centre, Oslo University Hospital, Oslo, Norway.ORCID https://orcid.org/0000-0002-0432-1907
Matthias LippertThe Intervention Centre, Oslo University Hospital, Oslo, Norway.ORCID https://orcid.org/0000-0003-0259-292X
Thomas LangøMedical Technology, SINTEF, Trondheim, Norway.ORCID https://orcid.org/0000-0002-2824-6120
Juan Sanchez-MargalloBioengineering and Health Technologies Unit, Jesus Uson Minimally Invasive Surgical Centre, Caceres, Spain.ORCID https://orcid.org/0000-0002-0100-2695
Francisco Sanchez-MargalloBioengineering and Health Technologies Unit, Jesus Uson Minimally Invasive Surgical Centre, Caceres, Spain.ORCID https://orcid.org/0000-0003-2138-988X
Ole Jakob ElleThe Intervention Centre, Oslo University Hospital, Oslo, Norway.ORCID https://orcid.org/0000-0003-2359-1272

Funding

Erasmus+ 621668-EPP-1-2020-1-ES-EPPKA2-KA
6 · The paper itself

Abstract

Learning cardiac morphology largely involves spatial abilities and studies indicate benefits from innovative 3D visualization technologies that speed up and increase the learning output. Studies comparing these teaching tools and their educational output are rare and few studies include complex congenital heart defects. This study compared the effects of 3D prints, mixed reality (MR) viewing of 3D meshes and standard cardiac CT slice images on medical students' understanding of complex congenital heart defect morphology, measuring both objective level of understanding and subjective educational experience. The objective of this study was to compare morphological understanding and user experiences of 3D printed models, MR 3D visualization and axial 2D CT slices, in medical students examining morphological details in complex congenital heart defects. Medical students in the median 4th year of study (range 2nd to 6th) examined three of five different complex congenital heart defects by three different modalities: 3D printed model, MR viewed 3D mesh, and cardiac CT slices, answering a questionnaire on morphology and user experience. Time to complete task, diagnostic accuracy, and user experience data were collected and compared on group level. Task times were similar for all modalities. The percentage of correct answers was higher with MR visualization, which was also the preferred modality overall. Medical students both prefer and better understand the morphology of complex congenital heart disease with 3D models viewed using MR, without spending more time than with 3D prints or 2D CT images.

Indexed as

Education, Medical, UndergraduateHeart Defects, CongenitalImaging, Three-DimensionalModels, AnatomicPrinting, Three-DimensionalStudents, MedicalTomography, X-Ray ComputedAnatomyAugmented RealityComprehensionEducational MeasurementFemaleHeartHumansMaleYoung Adult3D‐imaging techniques3D‐printingcardiac morphologycongenital heart defectsdigital morphologyextended realitylearning technology

Identifiers

PMID39517006
PMCPMC11669069

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Registered trials

None linked

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.