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Polyurethane-based three-dimensional printing for biological mesh carriers.

Feng Wang1, Lin Hou2, Yan-Hui Shan2

  • 1Department of General Surgery, The First Hospital of Shanxi Medical University, Taiyuan, 030001, Shanxi Province, China. 15035681256@163.com.

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|May 28, 2024
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This study developed a 3D-printed polyurethane biomesh carrier for inguinal hernia repair, offering improved surgical planning, efficiency, and cost savings. This innovation aims to enhance patient outcomes and streamline surgical training.

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Area of Science:

  • Biomaterials Engineering
  • Surgical Technology
  • Medical Device Development

Background:

  • Current meshes for inguinal hernia repair have limitations in clinical applications.
  • Three-dimensionally (3D)-printed biological meshes are a promising alternative.
  • Direct 3D printing of biological materials for clinical use is not yet feasible.

Purpose of the Study:

  • To develop a technical protocol for creating 3D-printed biomesh carriers.
  • To utilize polyurethane as a raw material for these carriers.
  • To establish parameters for optimal 3D printing of biomesh scaffolds.

Main Methods:

  • Utilized polyurethane as the raw material.
  • Defined specifications including weight (20-30 g/m²), hexagonal mesh weaving, 2:1 elastic tension aspect ratio, and pore diameters (0.1-1 mm).
  • Optimized printing parameters: layer height (0.1 mm), temperature (210-220°C), and velocity (60 mm/s) for a surface area of 8 × 12 cm².

Main Results:

  • Successfully developed a protocol for 3D-printed polyurethane biomesh carriers.
  • Identified optimal printing parameters for producing carriers with specific physical characteristics.
  • Demonstrated the potential for compounding these carriers with biological materials for clinical use.

Conclusions:

  • The developed 3D-printed biomesh carriers offer significant clinical advantages.
  • Potential applications include preoperative planning, specialized surgeries (puberty, recurrent, compound hernias), and improved doctor-patient communication.
  • The technology promises to reduce operation/recovery time by approximately 1/3, cut costs by 1/4, and shorten the learning curve for surgeons.