Evidence map›Paper›PMID 39157439›Full record

ArticleFrontiers in bioengineering and biotechnology2024

Three-dimensional printed models as an effective tool for the management of complex congenital heart disease.

Katia Capellini, Lamia Ait-Ali, Vitali Pak, Massimiliano Cantinotti, Michele Murzi, Emanuele Vignali, Benigno Marco Fanni, Alberto Clemente, Simona Celi, Emanuele Gasparotti

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. TranslatingFrontiers in bioengineering and biotechnology · 2026
    Article
  6. Article
  7. Unveiling ccTGA complexity: CMR and 3D modelling for surgical planning-a case series.European heart journal. Imaging methods and practice · 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

10 authors.

Katia CapelliniBioCardioLab, Bioengineering Unit, Fondazione Toscana Gabriele Monasterio, Massa, Italy.
Lamia Ait-AliInstitute of Clinical Physiology, CNR, Massa, Italy.
Vitali PakDepartment of Pediatric Cardiac Surgery, Fondazione Toscana Gabriele Monasterio, Massa, Italy.
Massimiliano CantinottiDepartment of Pediatric Cardiology, Fondazione Toscana Gabriele Monasterio, Massa, Italy.
Michele MurziDepartment of Adult Cardiac Surgery, Fondazione Toscana Gabriele Monasterio, Massa, Italy.
Emanuele VignaliBioCardioLab, Bioengineering Unit, Fondazione Toscana Gabriele Monasterio, Massa, Italy.
Benigno Marco FanniBioCardioLab, Bioengineering Unit, Fondazione Toscana Gabriele Monasterio, Massa, Italy.
Alberto ClementeDepartment of Clinical Imaging, Fondazione Toscana Gabriele Monasterio, Pisa, Italy.
Simona CeliBioCardioLab, Bioengineering Unit, Fondazione Toscana Gabriele Monasterio, Massa, Italy.
Emanuele GasparottiBioCardioLab, Bioengineering Unit, Fondazione Toscana Gabriele Monasterio, Massa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Three-dimensional printed models are widely used in the medical field for surgical and interventional planning. In the context of complex cardiovascular defects such as pediatric congenital heart diseases (CHDs), the adoption of 3D printed models could be an effective tool to improve decision-making. In this paper, an investigation was conducted into the characteristics of 3D printed models and their added value in understanding and managing complex pediatric congenital heart disease, also considering the associated cost. Methods: Volumetric MRI and CT images of subjects with complex CHDs were retrospectively segmented, and the associated 3D models were reconstructed. Different 3D printing technologies and materials were evaluated to obtain the 3D printed models of cardiac structures. An evaluation of time and costs associated with the 3D printing procedure was also provided. A two-level 3D printed model assessment was carried out to investigate the most suitable 3D printing technology for the management of complex CHDs and the effectiveness of 3D printed models in the pre-surgical planning and surgical strategies' simulations. Results: Among the different techniques, selective laser sintering resulted to be the most suitable due to its reduced time and cost and for the positive clinical feedback (procedure simulation, surface finish, and reproduction of details). Conclusion: The adoption of 3D printed models contributes as an effective tool in the management of complex CHDs, enabling planning and simulations of surgical procedures in a safer way.

Indexed as

3D models3D printingcongenital heart diseasepediatric surgerypre-planning

Identifiers

PMID39157439
PMCPMC11327011

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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.