Evidence map›Paper›PMID 27786234›Full record

ReviewNature reviews. Cardiology2016

Applications of 3D printing in cardiovascular diseases.

Andreas A Giannopoulos, Dimitris Mitsouras, Shi-Joon Yoo, Peter P Liu, Yiannis S Chatzizisis, Frank J Rybicki

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cardiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 139 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
139citing papers in PubMed, 8 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

139 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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  19. AI-powered in silico twins: redefining precision medicine through simulation, personalization, and predictive healthcare.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2025
    Review
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79 more citing papers are in PubMed but not listed here.

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

6 authors.

Andreas A GiannopoulosApplied Imaging Science Lab, Radiology Department, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, Massachusetts 02115, USA.
Dimitris MitsourasApplied Imaging Science Lab, Radiology Department, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, Massachusetts 02115, USA.
Shi-Joon YooDepartment of Diagnostic Imaging, Hospital for Sick Children, University of Toronto, 555 University Avenue, Toronto, Ontario M5G 1X8, Canada.
Peter P LiuUniversity of Ottawa Heart Institute, Faculty of Medicine, University of Ottawa, 40 Ruskin Street, Ottawa, Ontario K1Y 4W7, Canada.
Yiannis S ChatzizisisCardiovascular Division, University of Nebraska Medical Center, 42nd and Emile, Omaha, Nebraska 68198, USA.
Frank J RybickiDepartment of Radiology, Faculty of Medicine, University of Ottawa, 501 Smyth Road, Ottawa, Ontario K1H 8L6, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

3D-printed models fabricated from CT, MRI, or echocardiography data provide the advantage of haptic feedback, direct manipulation, and enhanced understanding of cardiovascular anatomy and underlying pathologies. Reported applications of cardiovascular 3D printing span from diagnostic assistance and optimization of management algorithms in complex cardiovascular diseases, to planning and simulating surgical and interventional procedures. The technology has been used in practically the entire range of structural, valvular, and congenital heart diseases, and the added-value of 3D printing is established. Patient-specific implants and custom-made devices can be designed, produced, and tested, thus opening new horizons in personalized patient care and cardiovascular research. Physicians and trainees can better elucidate anatomical abnormalities with the use of 3D-printed models, and communication with patients is markedly improved. Cardiovascular 3D bioprinting and molecular 3D printing, although currently not translated into clinical practice, hold revolutionary potential. 3D printing is expected to have a broad influence in cardiovascular care, and will prove pivotal for the future generation of cardiovascular imagers and care providers. In this Review, we summarize the cardiovascular 3D printing workflow, from image acquisition to the generation of a hand-held model, and discuss the cardiovascular applications and the current status and future perspectives of cardiovascular 3D printing.

Indexed as

Printing, Three-DimensionalCardiovascular DiseasesForecastingHumansModels, CardiovascularPatient Care PlanningPatient Education as TopicPatient ParticipationSoftware

Identifiers

PMID27786234

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.