Evidence map›Paper›PMID 29608202›Full record

ArticleAdvanced materials technologies2018

3D Printed Organ Models with Physical Properties of Tissue and Integrated Sensors.

Kaiyan Qiu, Zichen Zhao, Ghazaleh Haghiashtiani, Shuang-Zhuang Guo, Mingyu He, Ruitao Su, Zhijie Zhu, Didarul B Bhuiyan, Paari Murugan, Fanben Meng and 7 more

Abstract read
In one paragraph

Article in Advanced materials technologies, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 3D-Printed Artificial Organ Models for Surgical Applications.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. 3D Printing of Physical Organ Models: Recent Developments and Challenges.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    Review
  15. Article
  16. Review
  17. Advanced Multi-Dimensional Cellular Models as Emerging Reality to ReproduceInternational journal of molecular sciences · 2021
    Review
  18. 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

17 authors.

Kaiyan QiuDepartment of Mechanical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States.
Zichen ZhaoWWAMI Institute for Simulation in Healthcare, University of Washington, Seattle, Washington 98195, United States.
Ghazaleh HaghiashtianiDepartment of Mechanical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States.
Shuang-Zhuang GuoDepartment of Mechanical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States.
Mingyu HeFiber Science & Biomedical Engineering Programs, Cornell University, Ithaca, New York 14853, United States.
Ruitao SuDepartment of Mechanical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States.
Zhijie ZhuDepartment of Mechanical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States.
Didarul B BhuiyanDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States.
Paari MuruganDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota 55455, United States.
Fanben MengDepartment of Mechanical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States.
Sung Hyun ParkDepartment of Mechanical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States.
Chih-Chang ChuFiber Science & Biomedical Engineering Programs, Cornell University, Ithaca, New York 14853, United States.
Brenda M OgleDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States.
Daniel A SaltzmanDepartment of Surgery, University of Minnesota, Minneapolis, Minnesota 55455, United States.
Badrinath R KonetyDepartment of Urology, University of Minnesota, Minneapolis, Minnesota 55455, United States.
Robert M SweetWWAMI Institute for Simulation in Healthcare, University of Washington, Seattle, Washington 98195, United States.
Michael C McAlpineDepartment of Mechanical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States.

Funding

3D Printed Nano-Bionic OrgansDP2EB020537 · NIBIB · UNIVERSITY OF MINNESOTA · PI MCALPINE, MICHAEL · 2014 to 2019
$2.7M
Extracellular matrix regulation of differentiation via modulation of ILK: application to 3D bioprinting of cardiac tissueR01HL137204 · NHLBI · UNIVERSITY OF MINNESOTA · PI MCALPINE, MICHAEL, OGLE, BRENDA M · 2017 to 2020
$1.7M
NHLBI NIH HHS R01 HL137204NIBIB NIH HHS DP2 EB020537
6 · The paper itself

Abstract

The design and development of novel methodologies and customized materials to fabricate patient-specific 3D printed organ models with integrated sensing capabilities could yield advances in smart surgical aids for preoperative planning and rehearsal. Here, we demonstrate 3D printed prostate models with physical properties of tissue and integrated soft electronic sensors using custom-formulated polymeric inks. The models show high quantitative fidelity in static and dynamic mechanical properties, optical characteristics, and anatomical geometries to patient tissues and organs. The models offer tissue-mimicking tactile sensation and behavior and thus can be used for the prediction of organ physical behavior under deformation. The prediction results show good agreement with values obtained from simulations. The models also allow the application of surgical and diagnostic tools to their surface and inner channels. Finally, via the conformal integration of 3D printed soft electronic sensors, pressure applied to the models with surgical tools can be quantitatively measured.

Indexed as

3D printed sensors3D printingorgan modelssoft materialssurgical aids

Identifiers

PMID29608202
PMCPMC5877482

What OpenQuestion holds

Textmetadata
LicenceTDM
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.