Evidence map›Paper›PMID 38831221›Full record

ArticleThe international journal of cardiovascular imaging2025

Fetal heart segmentation in a virtual reality environment.

Marcela Castro Giffoni, Jorge Lopes, Gerson Ribeiro, Edward Araujo Júnior, Heron Werner

Abstract read
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In one paragraph

Article in The international journal of cardiovascular imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Marcela Castro GiffoniDepartment of Fetal Medicine, Biodesign Laboratory DASA / PUC, Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0009-0005-4694-8838
Jorge LopesDepartment of Fetal Medicine, Biodesign Laboratory DASA / PUC, Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0002-8162-8291
Gerson RibeiroDepartment of Fetal Medicine, Biodesign Laboratory DASA / PUC, Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0003-3783-2989
Edward Araujo JúniorDepartment of Obstetrics, Paulista School of Medicine - Federal University of São Paulo (EPM-UNIFESP), Rua Belchior de Azevedo, 156 apto. 111 Torre Vitoria, São Paulo, SP, CEP 05089-030, Brazil. araujojred@terra.com.br.ORCID http://orcid.org/0000-0002-6145-2532
Heron WernerDepartment of Fetal Medicine, Biodesign Laboratory DASA / PUC, Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0002-8620-7293

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study presents the initial results of a pilot project using the Elucis Virtual Reality (VR) platform for fetal heart segmentation. Twelve fetal heart cases, ranging in gestational age from 24 to 30 weeks, including various cardiac conditions, were reconstructed using 3D models facilitated by the Elucis platform's integration of automated algorithms and manual adjustments. The models, which were evaluated by four experts in virtual and 3D printed formats, were of high quality and offered improved visuospatial visualization and detailed anatomical insights. This research highlights the potential of VR technology to improve prenatal diagnosis and planning for complex cardiac conditions, suggesting significant implications for continuing medical education and clinical practice in fetal cardiology.

Indexed as

Fetal HeartHeart Defects, CongenitalImaging, Three-DimensionalModels, CardiovascularPatient-Specific ModelingUltrasonography, PrenatalVirtual RealityFemaleGestational AgeHumansPilot ProjectsPredictive Value of TestsPregnancyPrinting, Three-DimensionalReproducibility of ResultsFetal heartModelsThree-dimensional ultrasoundVirtual reality

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.