Evidence map›Paper›PMID 32923641›Full record

ArticleScience advances2020

3D printed patient-specific aortic root models with internal sensors for minimally invasive applications.

Ghazaleh Haghiashtiani, Kaiyan Qiu, Jorge D Zhingre Sanchez, Zachary J Fuenning, Priya Nair, Sarah E Ahlberg, Paul A Iaizzo, Michael C McAlpine

Abstract read
In one paragraph

Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. AI-Powered Multimodal Modeling of Personalized Hemodynamics in Aortic Stenosis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  10. 3D-Printed Artificial Organ Models for Surgical Applications.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Review
  18. Minimally invasive bioprinting forBioactive materials · 2023
    Article
  19. 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

8 authors.

Ghazaleh HaghiashtianiDepartment of Mechanical Engineering, University of Minnesota, Minneapolis, MN 55455, USA.ORCID 0000-0002-5939-5321
Kaiyan QiuDepartment of Mechanical Engineering, University of Minnesota, Minneapolis, MN 55455, USA.ORCID 0000-0002-3138-0275
Jorge D Zhingre SanchezDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455, USA.
Zachary J FuenningDepartment of Mechanical Engineering, University of Minnesota, Minneapolis, MN 55455, USA.
Priya NairMedtronic, Mounds View, MN 55112, USA.ORCID 0000-0002-9771-7619
Sarah E AhlbergMedtronic, Mounds View, MN 55112, USA.
Paul A IaizzoDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455, USA.
Michael C McAlpineDepartment of Mechanical Engineering, University of Minnesota, Minneapolis, MN 55455, USA.ORCID 0000-0001-7869-7598

Funding

3D Printed Nano-Bionic OrgansDP2EB020537 · NIBIB · UNIVERSITY OF MINNESOTA · PI MCALPINE, MICHAEL · 2014 to 2019
$2.7M
NIBIB NIH HHS DP2 EB020537
6 · The paper itself

Abstract

Minimally invasive surgeries have numerous advantages, yet complications may arise from limited knowledge about the anatomical site targeted for the delivery of therapy. Transcatheter aortic valve replacement (TAVR) is a minimally invasive procedure for treating aortic stenosis. Here, we demonstrate multimaterial three-dimensional printing of patient-specific soft aortic root models with internally integrated electronic sensor arrays that can augment testing for TAVR preprocedural planning. We evaluated the efficacies of the models by comparing their geometric fidelities with postoperative data from patients, as well as their in vitro hemodynamic performances in cases with and without leaflet calcifications. Furthermore, we demonstrated that internal sensor arrays can facilitate the optimization of bioprosthetic valve selections and in vitro placements via mapping of the pressures applied on the critical regions of the aortic anatomies. These models may pave exciting avenues for mitigating the risks of postoperative complications and facilitating the development of next-generation medical devices.

Identifiers

PMID32923641
PMCPMC7455187

What OpenQuestion holds

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LicenceCC BY-NC
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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.