Scientific article
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Microcomputed Tomography Technique for In Vivo Three-Dimensional Fat Tissue Volume Evaluation After Polymer Injection

Published inTissue Engineering. C, Methods, vol. 23, no. 12, p. 964-970
Publication date2017
Abstract

Tissue engineering technologies are new and promising techniques in fat tissue reconstruction. However, to assess their efficacy before any clinical application, in vivo experiments are mandatory. This study assesses whether microcomputed tomography (CT) scan imaging is suitable to analyze in vivo the behavior of injected engineered polymer and changes in fat tissue. The volume of mice inguinal fat pads and the resorption rate of different polymers were analyzed by CT scan for up to 3 months. Different biomaterials were used, including our innovative microspheres loaded with oleic acid. We were able to follow in vivo the polymer and the fat volume of the same animals during a long-term follow-up of 90 days. Semiautomatic three-dimensional quantification allowed to determine the fat volume enhancement after injection, as well as the resorption rate of our product compared to other biomaterials (i.e., polylactic and hyaluronic acid) until 90 days. Our results demonstrate the encouraging proof-of-principle evidence for the application of micro-CT scan technology to follow in vivo biodegradable polymers in a fat tissue engineering approach. This noninvasive technique offers the advantages of the long-term follow-up of fat tissue and synthetic materials in the same animals, which allows both a scientific evaluation of the measurements and the reduction of the number of animals used in in vivo protocols in accordance with the 3 "R" principles governing the use of animals in science.

Keywords
  • PLGA microspheres
  • Adipose tissue engineering
  • Micro-CT scan
  • Noninvasive in vivo imaging
Citation (ISO format)
BERNDT, Sarah et al. Microcomputed Tomography Technique for In Vivo Three-Dimensional Fat Tissue Volume Evaluation After Polymer Injection. In: Tissue Engineering. C, Methods, 2017, vol. 23, n° 12, p. 964–970. doi: 10.1089/ten.TEC.2017.0207
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Journal ISSN1937-3384
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