Evidence map›Paper›PMID 39539235›Full record

ArticleWorld journal for pediatric & congenital heart surgery2025

A Low-Cost Workflow to Generate Virtual and Physical Three-Dimensional Models of Cardiac Structures.

Philippe Grieshaber, Alexander Schneller, Elizabeth Fonseca-Escalante, Mina Farag, Rebecca Krey, Angéla Czundel, Christoph Jaschinski, Matthias Karck, Matthias Gorenflo, Tsvetomir Loukanov

Abstract read
In one paragraph

Article in World journal for pediatric & congenital heart surgery, 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
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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

10 authors.

Philippe GrieshaberDepartment of Cardiac Surgery, University Hospital Heidelberg, Heidelberg, Germany.ORCID 0000-0003-4139-7983
Alexander SchnellerDepartment of Cardiac Surgery, University Hospital Heidelberg, Heidelberg, Germany.
Elizabeth Fonseca-EscalanteDepartment of Cardiac Surgery, University Hospital Heidelberg, Heidelberg, Germany.
Mina FaragDepartment of Cardiac Surgery, University Hospital Heidelberg, Heidelberg, Germany.
Rebecca KreyDepartment of Cardiac Surgery, University Hospital Heidelberg, Heidelberg, Germany.
Angéla CzundelDepartment of Cardiac Surgery, University Hospital Heidelberg, Heidelberg, Germany.
Christoph JaschinskiDepartment of Cardiac Surgery, University Hospital Heidelberg, Heidelberg, Germany.ORCID 0000-0003-1358-9582
Matthias KarckDepartment of Cardiac Surgery, University Hospital Heidelberg, Heidelberg, Germany.
Matthias GorenfloDepartment of Pediatric Cardiology, University Hospital Heidelberg, Heidelberg, Germany.
Tsvetomir LoukanovDepartment of Cardiac Surgery, University Hospital Heidelberg, Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThree-dimensional modeling and printing (3DMP) of anatomical structures from cross-sectional imaging data can enhance the understanding of spatial relationships in complex congenital heart defects. Partially due to the substantial financial, material and personnel resources required, 3DMP is not yet universally used. Here, we describe a workflow that addresses and eliminates these drawbacks. DESCRIPTION: The workflow utilizes the open-source software "3D Slicer" (The Slicer Community) and "Blender" (Blender Foundation) for segmentation and post-editing of datasets. This approach enables the generation of virtual or physical 3D models. The physical models are printed using a standard fused deposition modeling printer. EVALUATION: The financial challenges that likely constrain the wider use of 3DMP are largely addressed by this approach. However, the workflow still requires a considerable amount of time to manually segment the imaging data.

conclusionsThree-dimensional modeling and printing might improve planning and safety of congenital cardiac surgical treatment. Furthermore, it is a useful tool for education of parents and medical professionals. This workflow increases its suitability for routine use also in regions with low economic resources.

Indexed as

Heart Defects, CongenitalImaging, Three-DimensionalPrinting, Three-DimensionalWorkflowHumansModels, AnatomicSoftwarecardiac surgerycongenital heart diseaseimagingopen sourcethree-dimensional modelingthree-dimensional printingworkflow

Identifiers

PMID39539235
PMCPMC11645847

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Registered trials

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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.