Evidence map›Paper›PMID 37314988›Full record

ArticleInterdisciplinary cardiovascular and thoracic surgery2023

Fast-track virtual reality software to facilitate 3-dimensional reconstruction in congenital heart disease.

Francesco Bertelli, Francesca Raimondi, Charlotte Godard, Emma Bergonzoni, Claudia Cattapan, Elisa Gastino, Francesco Galliotto, Nathalie Boddaert, Mohamed El Beheiry, Jean-Baptiste Masson and 2 more

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PubMed Full text at PMC Publisher
In one paragraph

Article in Interdisciplinary cardiovascular and thoracic surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 22% of its field
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

6 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. The changing landscape of multimodality imaging in congenital heart disease: white paper.European heart journal. Imaging methods and practice · 2025
    Review
  5. Article
  6. 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

12 authors at 3 institutions in 2 countries.

Francesco BertelliPediatric and Congenital Cardiac Surgery Unit, University of Padua, Italy.ORCID 0000-0001-8743-6242
Francesca RaimondiPediatric Cardiology Unit, Meyer Hospital, University of Florence, Italy.
Charlotte GodardDecision and Bayesian Computation, Computation Biology Department, CNRS, URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris, France.
Emma BergonzoniPediatric and Congenital Cardiac Surgery Unit, University of Padua, Italy.
Claudia CattapanPediatric and Congenital Cardiac Surgery Unit, University of Padua, Italy.
Elisa GastinoPediatric and Congenital Cardiac Surgery Unit, University of Padua, Italy.
Francesco GalliottoPediatric and Congenital Cardiac Surgery Unit, University of Padua, Italy.
Nathalie BoddaertPediatric Radiology Unit, Hôpital Universitaire Necker-Enfants Malades, Université de Paris, France.
Mohamed El BeheiryDecision and Bayesian Computation, Computation Biology Department, CNRS, URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris, France.
Jean-Baptiste MassonDecision and Bayesian Computation, Computation Biology Department, CNRS, URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris, France.ORCID 0000-0002-5484-9056
Alvise GuarientoPediatric and Congenital Cardiac Surgery Unit, University of Padua, Italy.
Vladimiro L VidaPediatric and Congenital Cardiac Surgery Unit, University of Padua, Italy.ORCID 0000-0002-1829-0259
University of Padua · ITCentre National de la Recherche Scientifique · FRHôpital Necker-Enfants Malades · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTwo limitations of the clinical use of 3-dimensional (3D) reconstruction and virtual reality systems are the relatively high cost and the amount of experience required to use hardware and software to effectively explore medical images. We have tried to simplify the process and validate a new tool developed for this purpose with a novel software package.

methodsFive patients with right partial anomalous pulmonary venous return with adequate preoperative images acquired with magnetic resonance imaging were enrolled. Five volunteers with no previous experience in the field of 3D reconstruction were instructed to use the software after viewing a short video tutorial. Users were then asked to create a 3D model of each patient's heart using DIVA software. Their results were compared quantitatively and qualitatively with a benchmark reconstruction performed by an experienced user.

resultsAll our participants recreated 3D models in a relatively short time, maintaining a good overall quality (average quality score ≥ 3 on a scale of 1-5). The overall trend of all the parameters analysed showed a statistical improvement between case 1 and case 5, as users became more and more experienced.

conclusionsDIVA is a simple software program that allows accurate 3D reconstruction in a relatively short time ("fast-track" virtual reality). In this study, we demonstrated the potential use of DIVA by inexperienced users, with a significant improvement in quality and time after a few cases were performed. Further studies are needed to confirm the potential application of this technology on a larger scale.

Indexed as

3D ReconstructionCongenital Heart DiseaseDIVA softwareVirtual Reality

Identifiers

PMID37314988
PMCPMC10371045
OpenAlexW4380551605

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.