Identifying Tumor Vascular Permeability Heterogeneity Using Reduced Encoding Techniques

"In our model, female Sprague Dawley rats with N-ethyl-N-nitrosourea (ENU) induced mammary tumors imaged with fast T1-weighted gradient echo DCE MRI following a Gd-DTPA injection, there is a window of resolutions that detects similar PS ""hot spots"" compared to those obtained from the clinical imager resolution. The top five PS ""hot spots"" obtained from 469 mum resolution FFT are statistically different from those at 938 mum resolution FFT, p = 0.0014, and 2500 mum resolution FFT, p < 0.0001. Keyhole when compared with a FFT of similar resolution does not detect PS ""hot spots"" of similar value, p = 0.0002. PS ""hot spots"" obtained from RIGR compared to those from FFT are statistically the same value, p = 0.2734, but do not statistically agree on the location of mapped values. The top five Kp&harr;t/VT ""hot spots"" and their corresponding ve can statistically differentiate invasive ductal carcinoma from non-invasive papillary carcinoma for the 469 mum and 938 mum resolution, p = 0.0017 and p = 0.0047, respectively, but not for 2500 mum resolution, p = 0.9008."

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Nuclear Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Aref, Michael

Contributors dc:contributor

• Erik C. Wiener

• Health Sciences, Radiology

Language dc:language

eng

Identifier

(MiAaPQ)AAI3101793

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/85897