Evidence map›Paper›PMID 28430115›Full record

SynthesisAnatolian journal of cardiology2017

A systematic review of 3-D printing in cardiovascular and cerebrovascular diseases.

Zhonghua Sun, Shen Yuan Lee

Abstract readSystematic Review
In one paragraph

Synthesis in Anatolian journal of cardiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 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

27 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Latest Advances in 3D Bioprinting of Cardiac Tissues.Advanced materials technologies · 2022
    Article
  10. Review
  11. Article
  12. Extracellular Matrix-Based Biomaterials for Cardiovascular Tissue Engineering.Journal of cardiovascular development and disease · 2021
    Review
  13. Review
  14. Review
  15. The development of a flexible heart model for simulation-based training.Interactive cardiovascular and thoracic surgery · 2021
    Article
  16. Article
  17. Review
  18. Personalized 3D printed coronary models in coronary stenting.Quantitative imaging in medicine and surgery · 2019
    Article
  19. Review
  20. 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

2 authors.

Zhonghua SunDepartment of Medical Radiation Sciences, Curtin University; Western Australia-Australia. z.sun@curtin.edu.au.
Shen Yuan Lee

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe application of 3-D printing has been increasingly used in medicine, with research showing many applications in cardiovascular disease. This systematic review analyzes those studies published about the applications of 3-D printed, patient-specific models in cardiovascular and cerebrovascular diseases.

methodsA search of PubMed/Medline and Scopus databases was performed to identify studies investigating the 3-D printing in cardiovascular and cerebrovascular diseases. Only studies based on patient's medical images were eligible for review, while reports on in vitro phantom or review articles were excluded.

resultsA total of 48 studies met selection criteria for inclusion in the review. A range of patient-specific 3-D printed models of different cardiovascular and cerebrovascular diseases were generated in these studies with most of them being developed using cardiac CT and MRI data, less commonly with 3-D invasive angiographic or echocardiographic images. The review of these studies showed high accuracy of 3-D printed, patient-specific models to represent complex anatomy of the cardiovascular and cerebrovascular system and depict various abnormalities, especially congenital heart diseases and valvular pathologies. Further, 3-D printing can serve as a useful education tool for both parents and clinicians, and a valuable tool for pre-surgical planning and simulation.

conclusionThis systematic review shows that 3-D printed models based on medical imaging modalities can accurately replicate complex anatomical structures and pathologies of the cardiovascular and cerebrovascular system. 3-D printing is a useful tool for both education and surgical planning in these diseases.

Indexed as

Imaging, Three-DimensionalPrinting, Three-DimensionalCardiovascular DiseasesCerebrovascular DisordersHumans

Identifiers

PMID28430115
PMCPMC5477071

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.