X-ray imaging optimization of 3D tissue engineering scaffolds via combinatorial fabrication methods

Area of Science:

• Biomaterials Science
• Medical Imaging
• Polymer Chemistry

Background:

• Polymeric scaffolds are crucial for tissue engineering but often lack sufficient X-ray contrast for imaging.
• Incorporating radiopaque elements like iodine enhances X-ray visibility but can alter material properties.

Purpose of the Study:

• To develop an efficient combinatorial method for optimizing tissue scaffold composition for X-ray imaging.
• To determine the minimum iodine content required for effective imaging of poly(desaminotyrosyl-tyrosine ethyl ester carbonate) (pDTEc) scaffolds.

Main Methods:

• A combinatorial library approach was used to create scaffolds with varying compositions of pDTEc and an iodinated analog (pI(2)DTEc).
• Scaffolds were imaged using microradiography, dental radiography, and microcomputed tomography.

Main Results:

• Minimum pI(2)DTEc percentages required for effective imaging were determined: 9% (microradiography), 16% (dental radiography), 38% (dental radiography through 0.75cm muscle), and 46% (microcomputed tomography).
• Only two scaffold libraries were needed, demonstrating the method's efficiency.

Conclusions:

• The combinatorial approach efficiently optimizes scaffold radiopacity for various X-ray imaging modalities.
• This method facilitates the development of better-visualized tissue scaffolds for in vivo and in vitro applications.