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Related Experiment Video

Updated: Jul 23, 2025

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Multifunctional high-simulation 3D-printed hydrogel model manufacturing engineering for surgical training.

Xiaodong Xu1,2, Shijie Yu1,2, Liang Ma1,2

  • 1College of Materials Science and Engineering, Zhejiang University of Technology, Hangzhou, Zhejiang 310014, China.

International Journal of Bioprinting
|July 17, 2023
PubMed
Summary

Researchers developed advanced biomimetic organ models using tunable dual-network (DN) hydrogels and 3D printing. These realistic models enhance surgical training, medical device testing, and education by mimicking diverse biological tissues and surgical scenarios.

Keywords:
3D printing fabricationBionic organ modelsDual-network hydrogelsSurgical trainingTunable properties

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Area of Science:

  • Biomaterials Science
  • Medical Engineering
  • Regenerative Medicine

Background:

  • Realistic organ models are crucial for surgical training but face challenges in mechanical property matching, instrument feedback, and scenario reproducibility.
  • Existing models often lack the fidelity required for complex surgical simulations and detailed anatomical representation.

Purpose of the Study:

  • To develop advanced, tissue-mimicking dual-network (DN) hydrogel organ models with customizable mechanical properties.
  • To create high-fidelity, performance-tunable bionic organ models using 3D printing for diverse medical applications.

Main Methods:

  • Fabrication of dual-network (DN) hydrogels with adjustable stiffness via matrix composition and ionic solution immersion.
  • Integration of advanced 3D printing techniques to construct complex bionic organ models.
  • Simulation and testing of model applicability in various surgical procedures, including suturing, cutting, hemostasis, ultrasound visualization, and tumor ablation.

Main Results:

  • Achieved precisely tunable hydrogel stiffness to match various biological soft tissues.
  • Successfully fabricated diverse bionic organ models (kidney, liver, pancreas, vascular) with structural complexity and fidelity.
  • Demonstrated model efficacy in simulating realistic surgical interventions and diagnostic procedures.

Conclusions:

  • Advanced biomimetic organ models based on tunable hydrogels can significantly promote surgical training, medical device testing, and medical education.
  • The developed hydrogel organ models offer a promising platform for improving surgical skills and medical innovation.