dc.creator | Loveless, Mary E | |
dc.date.accessioned | 2020-08-23T15:46:10Z | |
dc.date.available | 2011-11-19 | |
dc.date.issued | 2010-11-19 | |
dc.identifier.uri | https://etd.library.vanderbilt.edu/etd-11172010-081943 | |
dc.identifier.uri | http://hdl.handle.net/1803/14566 | |
dc.description.abstract | With cancer encompassing a range of disease states and phenotypes, assessing treatment efficacy early, accurately, and non-invasively is essential to optimize therapy planning on an individualized basis. This work discusses two types of cancer imaging techniques, dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and diffusion-weighted MRI (DW-MRI), and the importance they have to several classes of drug treatment regimens. Additionally, this work optimizes and identifies errors in current protocols used in preclinical MRI studies of anti-cancer therapies. These optimized protocols were then used to assess the efficacy of a novel anti-cancer treatment early in the course of therapy. Finally, the relationship between two MR imaging biomarkers frequently used in monitoring cancer therapy were assessed and compared to histology. | |
dc.format.mimetype | application/pdf | |
dc.subject | cancer | |
dc.subject | MRI | |
dc.subject | DCE-MRI | |
dc.title | Optimization, Application, and Cross-correlation of DCE-MRI in Small Animal Models of Cancer | |
dc.type | dissertation | |
dc.contributor.committeeMember | Christopher C. Quarles | |
dc.contributor.committeeMember | John C. Gore | |
dc.contributor.committeeMember | J. Oliver McIntyre | |
dc.contributor.committeeMember | Mark Does | |
dc.type.material | text | |
thesis.degree.name | PHD | |
thesis.degree.level | dissertation | |
thesis.degree.discipline | Biomedical Engineering | |
thesis.degree.grantor | Vanderbilt University | |
local.embargo.terms | 2011-11-19 | |
local.embargo.lift | 2011-11-19 | |
dc.contributor.committeeChair | Thomas E. Yankeelov | |