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In vivo tissue-level thresholds for spinal cord injury

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TitleInfo (displayLabel = Citation Title); (type = uniform)
Title
In vivo tissue-level thresholds for spinal cord injury
Name (ID = NAME001); (type = personal)
NamePart (type = family)
Maikos
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Jason
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Jason Maikos
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author
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Shreiber
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David
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Advisory Committee
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David I Shreiber
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chair
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Firestein
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Bonnie
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Advisory Committee
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Bonnie L Firestein
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internal member
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Madabhushi
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Advisory Committee
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Anant Madabhushi
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internal member
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Pelegri
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Advisory Committee
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ASSIMINA Pelegri
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outside member
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Rutgers University
Role
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degree grantor
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Graduate School - New Brunswick
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school
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Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2007
DateOther (qualifier = exact); (type = degree)
2007
Language
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English
PhysicalDescription
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electronic
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application/pdf
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text/xml
Extent
xii, 232 pages
Abstract
Primary damage to the blood-spinal cord barrier (BSCB) is a nearly universal consequence of spinal cord injury that contributes significantly to the overall pathology. The in vivo tissue-level thresholds for mechanical disruption of the BSCB were identified by comparing the results of spinal cord contusions produced with weight drop injury to a finite element analysis (FEA) of the experimental model. The extent and severity of primary, physical disruption of the BSCB was quantified in adult rats five minutes after graded trauma induced with the Impactor weight drop model of spinal cord contusion. The volume of extravasation of three markers of distinct size -- fluorescently labeled hydrazide (~730Da), fluorescently labeled bovine serum albumin (~70kDa), and immunohistochemically labeled red blood cells (~5µm) was evaluated in both the gray and white matter. Extravasation volumes increased with increasing drop height and decreasing species size, and were greater in gray matter than in white matter. A three-dimensional finite element analysis of the weight drop model was performed and validated with the in vivo experimental peak displacement of the spinal cord at two loading conditions. The peak compression of the model was within ten percent of the experimental results. A parametric analysis revealed that the model was most sensitive to changes in the viscoelastic properties of the spinal cord. The finite element model provided temporal and spatial profiles of mechanical parameters that were used to identify tissue-level thresholds for BSCB injury using logistic regression analysis. Thirteen mechanical parameters, including measures of stress, strain, and strain rate were investigated as predictors of BSCB injury. Maximum principal strain (LEP) was considered the best predictor of injury in the gray matter, while von Mises strain (LEVM) was the best predictor of injury in the white matter, although the LEVM thresholds for white matter included relatively substantial error compared to the thresholds for gray matter. The results can be used to improve means and measures of preventing spinal cord injury in humans, define loading conditions for in vitro models of injury, and design new experimental models that produce specific patterns of injury.
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references (p. 218-229).
Subject (ID = SUBJ1); (authority = RUETD)
Topic
Biomedical Engineering
Subject (ID = SUBJ2); (authority = ETD-LCSH)
Topic
Spinal cord--Wounds and injuries
Subject (ID = SUBJ3); (authority = ETD-LCSH)
Topic
Spinal cord--Mechanical properties
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TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Identifier (type = hdl)
http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.16734
Identifier
ETD_416
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/T3N87B5S
Genre (authority = ExL-Esploro)
ETD doctoral
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The author owns the copyright to this work.
Copyright
Status
Copyright protected
Availability
Status
Open
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Name
Jason Maikos
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
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Detail
Non-exclusive ETD license
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Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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