Identifying Tumor Vascular Permeability Heterogeneity Using Reduced Encoding Techniques

Aref, Michael

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https://hdl.handle.net/2142/85897 Copy

Description

Title

Identifying Tumor Vascular Permeability Heterogeneity Using Reduced Encoding Techniques

Author(s)

Aref, Michael

Issue Date

2003

Doctoral Committee Chair(s)

Erik C. Wiener

Department of Study

Nuclear Engineering

Discipline

Nuclear Engineering

Degree Granting Institution

University of Illinois at Urbana-Champaign

Degree Name

Ph.D.

Degree Level

Dissertation

Keyword(s)

Health Sciences, Radiology

Language

eng

Abstract

"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↔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."

Graduation Semester

2003

Type of Resource

text

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http://hdl.handle.net/2142/85897

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