Evidence map›Paper›PMID 29255693›Full record

ReviewCardiovascular diagnosis and therapy2017

3D printing from cardiovascular CT: a practical guide and review.

James M Otton, Nicolette S Birbara, Tarique Hussain, Gerald Greil, Thomas A Foley, Nalini Pather

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Cardiovascular diagnosis and therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Review
  2. Article
  3. A novel method to simulate radiographs of 3D printed objects.Journal of applied clinical medical physics · 2025
    Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. Review
  16. Review
  17. Article
  18. 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

6 authors.

James M OttonVictor Chang Cardiac Research Institute, Sydney, NSW, Australia.
Nicolette S BirbaraUNSW Sydney, NSW, Australia.
Tarique HussainUniversity of Texas Southwestern Medical Centre, Dallas, TX, USA.
Gerald GreilUniversity of Texas Southwestern Medical Centre, Dallas, TX, USA.
Thomas A FoleyMayo Clinic College of Medicine, Rochester, MN, USA.
Nalini PatherUNSW Sydney, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current cardiovascular imaging techniques allow anatomical relationships and pathological conditions to be captured in three dimensions. Three-dimensional (3D) printing, or rapid prototyping, has also become readily available and made it possible to transform virtual reconstructions into physical 3D models. This technology has been utilised to demonstrate cardiovascular anatomy and disease in clinical, research and educational settings. In particular, 3D models have been generated from cardiovascular computed tomography (CT) imaging data for purposes such as surgical planning and teaching. This review summarises applications, limitations and practical steps required to create a 3D printed model from cardiovascular CT.

Indexed as

3D printingCardiovascular computed tomography (CT)Three-dimensional (3D) model

Identifiers

PMID29255693
PMCPMC5716949

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.