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Engineering the tissue which encapsulates subcutaneous implants. III. Effective tissue response times
A A Sharkawy1, B Klitzman, G A Truskey
1NSF Center for Emerging Cardiovascular Technology, Department of Biomedical Engineering, Duke University, Durham, North Carolina 27708-0295, USA.
Journal of Biomedical Materials Research
|May 23, 1998
Summary
Porous implants enhance tissue vascularity and analyte concentration response times. Optimal pore size (PVA-60) significantly accelerated rhodamine concentration changes in surrounding tissue compared to nonporous implants.
Area of Science:
- Biomaterials Science
- Tissue Engineering
- Implantable Devices
Background:
- Implant porosity influences tissue vascularity and diffusion.
- Previous studies indicate a link between implant pore size and tissue response.
Purpose of the Study:
- To investigate if porous implants facilitate faster analyte concentration changes in surrounding tissue compared to nonporous implants.
- To determine the optimal implant pore size for rapid analyte uptake and response.
Main Methods:
- Analyte (lissamine-rhodamine) concentrations were measured in subcutaneous tissue around various porous and nonporous implants (PVA and PTFE) over time.
- Tissue response time constants (taup) were calculated using a two-compartment model.
- Results were compared to unimplanted subcutaneous tissue (SQ).
Main Results:
- Porous implants, particularly PVA-60 (60 microm mean pore size), showed significantly faster rhodamine concentration responses in surrounding tissue.
- The PVA-60 group exhibited the highest rhodamine concentrations at all time points.
- Tissue response time for PVA-60 (taup = 764 s) was approximately three times faster than for nonporous PVA-skin (taup = 2058 s) and twice as fast as SQ (taup = 1627 s).
Conclusions:
- Implant porosity, specifically optimal pore sizes like PVA-60, significantly enhances the speed of analyte concentration equilibration between plasma and surrounding tissue.
- This suggests porous implants can improve the responsiveness of implanted sensors or drug delivery systems.