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Nonlinear Tissue Permeability Drives Tissue Pressure and Injection Distribution: A Computational Investigation of
Scott Lovald1, Shashank Agarwal2, Anuradha Radhakrishnan2
1Exponent, San Francisco, CA slovald@exponent.com.
PDA Journal of Pharmaceutical Science and Technology
|August 23, 2024
Summary
Computational modeling enhances understanding of subcutaneous injection mechanics. This approach accurately predicts injectate distribution and tissue strain, aiding in safe, large-volume injections.
Area of Science:
- Biomedical Engineering
- Computational Mechanics
- Pharmacokinetics
Background:
- Subcutaneous injections require better mechanical understanding to increase volume and reduce pain.
- Computational modeling offers a valuable supplement to experimental and clinical studies.
Purpose of the Study:
- Develop a computational model for subcutaneous injection.
- Investigate anisotropic tissue permeability's effect on bolus formation.
- Explore injection flow rate and viscosity impacts on flow and tissue strain.
Main Methods:
- Implemented poroelastic models with subsurface flow in finite element software (COMSOL, ABAQUS).
- Validated models against experimental results at various injection rates (20-360 ml/hr).
Main Results:
- Computational models showed excellent agreement with experimental pore pressure and injectate distribution.
- Anisotropic tissue permeability led to preferential horizontal injectate spread, matching experimental observations.
- Simulations provided insights into effects of delivery rate, volume, viscosity, and subcutaneous layer thickness.
Conclusions:
- Computational modeling is a valid tool for analyzing subcutaneous injection mechanics.
- The developed model aids in understanding tissue strain and injectate distribution for large-volume injections.
- Findings support optimizing injection parameters to improve safety and efficacy.
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