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Development and Evaluation of 3D-Printed Cardiovascular Phantoms for Interventional Planning and Training
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Development of a Modular Tissue Phantom for Evaluating Vascular Access Devices.

Emily N Boice1, David Berard1, Jose M Gonzalez1

  • 1U.S. Army Institute of Surgical Research, JBSA Fort Sam Houston, San Antonio, TX 78234, USA.

Bioengineering (Basel, Switzerland)
|July 25, 2022
PubMed
Summary

Developing a new modular tissue phantom improves training for automated central vascular access (CVA) devices. This advanced model simulates hypovolemic trauma, accelerating the development of critical medical technologies for remote and combat scenarios.

Keywords:
automationfemoralhumanhypovolemiamedical devicesmodel developmentnerve fiberporcinetissue phantomvascular access device

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Area of Science:

  • Biomedical Engineering
  • Medical Device Development
  • Trauma Care Simulation

Background:

  • Central vascular access (CVA) is vital for trauma care but requires skilled personnel, often unavailable in remote or combat settings.
  • Current tissue phantoms are inadequate for developing automated CVA devices, hindering product advancement.
  • Automated CVA devices offer life-saving potential in resource-limited environments.

Purpose of the Study:

  • To develop and present a novel, modular tissue phantom for simulating central vascular access scenarios.
  • To address the limitations of existing phantoms in replicating critical physiological parameters for device testing.
  • To accelerate the development and validation of automated CVA medical devices.

Main Methods:

  • A modular tissue phantom was created using a gelatin cast with a 3D-printed mold.
  • Adjustable inserts allowed for variable flow rates, fluid pressure, vessel diameter, and positioning.
  • The phantom mimicked normal and hypovolemic conditions, including vessel trauma assessment via leak rates.
  • The model was adaptable to swine and human anatomy, including neurovascular bundles.

Main Results:

  • The modular phantom successfully replicated adjustable flow rates, pressures, and vessel characteristics.
  • It effectively simulated both normal and hypovolemic conditions, crucial for trauma scenarios.
  • Leak rates quantified vessel wall trauma, providing a key assessment metric.
  • The model demonstrated adaptability to different anatomies, including human and swine.

Conclusions:

  • This novel modular tissue phantom offers a superior simulation of severe hypovolemic trauma and anatomical variability compared to existing trainers.
  • It provides a more realistic platform for testing and refining automated central vascular access devices.
  • The phantom has the potential to significantly accelerate the development of automated CVA technologies for critical care.