Evidence map›Paper›PMID 36337920›Full record

ReviewJACC. Basic to translational science2022

Translating Imaging Into 3D Printed Cardiovascular Phantoms: A Systematic Review of Applications, Technologies, and Validation.

Joël Illi, Benedikt Bernhard, Christopher Nguyen, Thomas Pilgrim, Fabien Praz, Martin Gloeckler, Stephan Windecker, Andreas Haeberlin, Christoph Gräni

Abstract readReview
In one paragraph

Review in JACC. Basic to translational science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Custom 3D-Printed Molds for Zebrafish Imaging and Cardiac Development.Journal of visualized experiments : JoVE · 2025
    Article
  7. Simulation a new frontier in training in congenital heart disease.European heart journal. Imaging methods and practice · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Euclidean and Shape-Based Analysis of the Dynamic Mitral Annulus in Children using a Novel Open-Source Framework.Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography · 2024
    Article
  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

9 authors.

Joël IlliDepartment of Cardiology, University Hospital Bern, Bern, Switzerland.
Benedikt BernhardDepartment of Cardiology, University Hospital Bern, Bern, Switzerland.
Christopher NguyenCardiovascular Research Center, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Thomas PilgrimDepartment of Cardiology, University Hospital Bern, Bern, Switzerland.
Fabien PrazDepartment of Cardiology, University Hospital Bern, Bern, Switzerland.
Martin GloecklerDepartment of Cardiology, University Hospital Bern, Bern, Switzerland.
Stephan WindeckerDepartment of Cardiology, University Hospital Bern, Bern, Switzerland.
Andreas HaeberlinDepartment of Cardiology, University Hospital Bern, Bern, Switzerland.
Christoph GräniDepartment of Cardiology, University Hospital Bern, Bern, Switzerland.

Funding

Serial evaluation of cardioprotective effects of exercise training in heart failure using cardiac diffusion tensor MRIR01HL151704 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI NGUYEN, CHRISTOPHER T · 2020 to 2024
$3.4M
NHLBI NIH HHS R01 HL151704
6 · The paper itself

Abstract

Translation of imaging into 3-dimensional (3D) printed patient-specific phantoms (3DPSPs) can help visualize complex cardiovascular anatomy and enable tailoring of therapy. The aim of this paper is to review the entire process of phantom production, including imaging, materials, 3D printing technologies, and the validation of 3DPSPs. A systematic review of published research was conducted using Embase and MEDLINE, including studies that investigated 3DPSPs in cardiovascular medicine. Among 2,534 screened papers, 212 fulfilled inclusion criteria and described 3DPSPs as a valuable adjunct for planning and guiding interventions (n = 108 [51%]), simulation of physiological or pathological conditions (n = 19 [9%]), teaching of health care professionals (n = 23 [11%]), patient education (n = 3 [1.4%]), outcome prediction (n = 6 [2.8%]), or other purposes (n = 53 [25%]). The most common imaging modalities to enable 3D printing were cardiac computed tomography (n = 131 [61.8%]) and cardiac magnetic resonance (n = 26 [12.3%]). The printing process was conducted mostly by material jetting (n = 54 [25.5%]) or stereolithography (n = 43 [20.3%]). The 10 largest studies that evaluated the geometric accuracy of 3DPSPs described a mean bias <±1 mm; however, the validation process was very heterogeneous among the studies. Three-dimensional printed patient-specific phantoms are highly accurate, used for teaching, and applied to guide cardiovascular therapy. Systematic comparison of imaging and printing modalities following a standardized validation process is warranted to allow conclusions on the optimal production process of 3DPSPs in the field of cardiovascular medicine.

Indexed as

3D, 3-dimensional3D printing3DPSP, 3-dimensional printed patient-specific phantomadditive manufacturingAM, additive manufacturingcardiovascular diseaseCCT, cardiac computed tomographyCMR, cardiac magnetic resonanceDICOM, Digital Imaging and Communications in MedicineFDM, fused deposition modelingpatient-specific phantomsPBF, powder bed fusionpersonalized medicinesilicone castingSLA, stereolithographyTEE, transesophageal echocardiographyvoxel printingVP, voxel printing

Identifiers

PMID36337920
PMCPMC9626905

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.