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Computational modeling of drug relea...
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Patil, Lokesh Shamkant.
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Computational modeling of drug release from nerve guide conduits of different designs.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Computational modeling of drug release from nerve guide conduits of different designs./
作者:
Patil, Lokesh Shamkant.
面頁冊數:
97 p.
附註:
Source: Masters Abstracts International, Volume: 53-02.
Contained By:
Masters Abstracts International53-02(E).
標題:
Biomedical engineering. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1558440
ISBN:
9781303980923
Computational modeling of drug release from nerve guide conduits of different designs.
Patil, Lokesh Shamkant.
Computational modeling of drug release from nerve guide conduits of different designs.
- 97 p.
Source: Masters Abstracts International, Volume: 53-02.
Thesis (M.S.)--The University of Texas at Arlington, 2014.
This item must not be sold to any third party vendors.
Currently there are limited effective strategies and surgical methods for repairing gap peripheral nerve injuries. Autografts are commonly used but with major limitation in the availability of donor graft material and the painful sensations at donor site. These limitations call for the development of new, effective methods for repairing peripheral nerve injuries. The use of nerve guide conduits to facilitate nerve growth and repair have shown promising potential with minimum side-effects but still with limited success in a full functional recovery. The likely clinical outcome could benefit significantly with the use of engineering methodologies in the design, fabrication, surgical delivery of the devices that maximize resulting effective nerve growth. In this study, we modeled the release of NGF growth factors in different designs of drug release conduits using finite element computational methods. Results show that the spatiotemporal concentration in models is significantly affected by design alterations. We also observe increase in axon linearity by changing coiling configuration and decreasing the NGC microchannel size. These models provide quantitative insights with time-varying NGF distribution in the microenvironment of the nerve guide conduits.
ISBN: 9781303980923Subjects--Topical Terms:
535387
Biomedical engineering.
Computational modeling of drug release from nerve guide conduits of different designs.
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Currently there are limited effective strategies and surgical methods for repairing gap peripheral nerve injuries. Autografts are commonly used but with major limitation in the availability of donor graft material and the painful sensations at donor site. These limitations call for the development of new, effective methods for repairing peripheral nerve injuries. The use of nerve guide conduits to facilitate nerve growth and repair have shown promising potential with minimum side-effects but still with limited success in a full functional recovery. The likely clinical outcome could benefit significantly with the use of engineering methodologies in the design, fabrication, surgical delivery of the devices that maximize resulting effective nerve growth. In this study, we modeled the release of NGF growth factors in different designs of drug release conduits using finite element computational methods. Results show that the spatiotemporal concentration in models is significantly affected by design alterations. We also observe increase in axon linearity by changing coiling configuration and decreasing the NGC microchannel size. These models provide quantitative insights with time-varying NGF distribution in the microenvironment of the nerve guide conduits.
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