Evidence map›Paper›PMID 30050975›Full record

Review3D printing in medicine2015

3D printing in medicine of congenital heart diseases.

Shi-Joon Yoo, Omar Thabit, Eul Kyung Kim, Haruki Ide, Deane Yim, Anreea Dragulescu, Mike Seed, Lars Grosse-Wortmann, Glen van Arsdell

Open access · goldAbstract readReview
In one paragraph

Review in 3D printing in medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed
8.6field-weighted citation impact, top 2% 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

74 citing papers in PubMed, 180 citations in OpenAlex.

  1. Trial
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  4. Assessing the impact of virtual reality on surgeons' mental models of complex congenital heart cases.International journal of computer assisted radiology and surgery · 2026
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14 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

9 authors at 2 institutions in 1 country.

Shi-Joon YooDepartment of Diagnostic Imaging, University of Toronto, 555 University Avenue, Toronto, ON Canada.
Omar ThabitDepartment of Diagnostic Imaging, University of Toronto, 555 University Avenue, Toronto, ON Canada.
Eul Kyung Kim3D HOPE (Human organ Printing and Engineering) Medical, 1008-65 Harbour Sqaure, Toronto, ON M5J2L4 Canada.
Haruki IdeDivision of Cardiology - Department of Paediatrics, University of Toronto, 555 University Avenue, Toronto, ON Canada.
Deane YimDivision of Cardiology - Department of Paediatrics, University of Toronto, 555 University Avenue, Toronto, ON Canada.
Anreea DragulescuDivision of Cardiology - Department of Paediatrics, University of Toronto, 555 University Avenue, Toronto, ON Canada.
Mike SeedDepartment of Diagnostic Imaging, University of Toronto, 555 University Avenue, Toronto, ON Canada.
Lars Grosse-WortmannDepartment of Diagnostic Imaging, University of Toronto, 555 University Avenue, Toronto, ON Canada.
Glen van ArsdellDivision of Cardiovascular Surgery - Department of Surgery, Hospital for Sick Children, University of Toronto, 555 University Avenue, Toronto, ON M5G1X8 Canada.
University of Toronto · CASickKids Foundation · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Congenital heart diseases causing significant hemodynamic and functional consequences require surgical repair. Understanding of the precise surgical anatomy is often challenging and can be inadequate or wrong. Modern high resolution imaging techniques and 3D printing technology allow 3D printing of the replicas of the patient's heart for precise understanding of the complex anatomy, hands-on simulation of surgical and interventional procedures, and morphology teaching of the medical professionals and patients. CT or MR images obtained with ECG-gating and breath-holding or respiration navigation are best suited for 3D printing. 3D echocardiograms are not ideal but can be used for printing limited areas of interest such as cardiac valves and ventricular septum. Although the print materials still require optimization for representation of cardiovascular tissues and valves, the surgeons find the models suitable for practicing closure of the septal defects, application of the baffles within the ventricles, reconstructing the aortic arch, and arterial switch procedure. Hands-on surgical training (HOST) on models may soon become a mandatory component of congenital heart disease surgery program. 3D printing will expand its utilization with further improvement of the use of echocardiographic data and image fusion algorithm across multiple imaging modalities and development of new printing materials. Bioprinting of implants such as stents, patches and artificial valves and tissue engineering of a part of or whole heart using the patient's own cells will open the door to a new era of personalized medicine.

Indexed as

3D printingCongenital heart diseaseSurgical simulationSurgical training

Identifiers

PMID30050975
PMCPMC6036784
OpenAlexW2530815572

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.