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Identifying tumor vascular permeabil...

Aref, Michael.

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Identifying tumor vascular permeability heterogeneity using reduced encoding techniques.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Identifying tumor vascular permeability heterogeneity using reduced encoding techniques./
Author:	Aref, Michael.
Description:	126 p.
Notes:	Source: Dissertation Abstracts International, Volume: 64-08, Section: B, page: 4013.
Contained By:	Dissertation Abstracts International64-08B.
Subject:	Engineering, Nuclear. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3101793
ISBN:	0496493795

Identifying tumor vascular permeability heterogeneity using reduced encoding techniques.
Aref, Michael.

Identifying tumor vascular permeability heterogeneity using reduced encoding techniques. - 126 p.

Source: Dissertation Abstracts International, Volume: 64-08, Section: B, page: 4013.

Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2003.

We test the hypothesis that the loss of spatial resolution to gain temporal resolution in clinical dynamic contrast enhanced (DCE) magnetic resonance mammography (MRM) causes partial volume effects that yield inaccurate permeability-surface area products (PS = Kp↔t) which results in erroneous diagnostic information and we offer a potential solution using reduced encoding techniques to solve this problem. We compared the PS obtained from DCE MRI at clinical MRI resolutions (2500 x 2500 mum resolution), to that obtained from resolutions analogous to histopathological in plane resolutions (938 x 938 mum and 469 x 469 mum resolution). Secondly, we determined the accuracy of PS obtained from Keyhole, R&barbelow;educed-encoding I&barbelow;maging by G&barbelow;eneralized-series R&barbelow;econstruction (RIGR), and T&barbelow;wo-reference RIGR (TRIGR) using high-resolution baseline data (469 x 469 mum resolution) and clinical resolution dynamic data (2500 x 2500 mum resolution). Lastly, we statistically correlated two-compartment model fitting parameters (tumor EES volume fraction, ve, tumor plasma volume fraction, vp, and PS) obtained from DCE MRI at all three resolutions to histopathologically determined tumor diagnosis.

ISBN: 0496493795Subjects--Topical Terms:

1043651
Engineering, Nuclear.

Identifying tumor vascular permeability heterogeneity using reduced encoding techniques.
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008 130610s2003 eng d
020 $a 0496493795
035 $a (UnM)AAI3101793
035 $a AAI3101793
040 $a UnM $c UnM
100 1 $a Aref, Michael. $3 1905877
245 1 0 $a Identifying tumor vascular permeability heterogeneity using reduced encoding techniques.
300 $a 126 p.
500 $a Source: Dissertation Abstracts International, Volume: 64-08, Section: B, page: 4013.
500 $a Adviser: Erik C. Wiener.
502 $a Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2003.
520 $a We test the hypothesis that the loss of spatial resolution to gain temporal resolution in clinical dynamic contrast enhanced (DCE) magnetic resonance mammography (MRM) causes partial volume effects that yield inaccurate permeability-surface area products (PS = Kp↔t) which results in erroneous diagnostic information and we offer a potential solution using reduced encoding techniques to solve this problem. We compared the PS obtained from DCE MRI at clinical MRI resolutions (2500 x 2500 mum resolution), to that obtained from resolutions analogous to histopathological in plane resolutions (938 x 938 mum and 469 x 469 mum resolution). Secondly, we determined the accuracy of PS obtained from Keyhole, R&barbelow;educed-encoding I&barbelow;maging by G&barbelow;eneralized-series R&barbelow;econstruction (RIGR), and T&barbelow;wo-reference RIGR (TRIGR) using high-resolution baseline data (469 x 469 mum resolution) and clinical resolution dynamic data (2500 x 2500 mum resolution). Lastly, we statistically correlated two-compartment model fitting parameters (tumor EES volume fraction, ve, tumor plasma volume fraction, vp, and PS) obtained from DCE MRI at all three resolutions to histopathologically determined tumor diagnosis.
520 $a 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.
590 $a School code: 0090.
650 4 $a Engineering, Nuclear. $3 1043651
650 4 $a Health Sciences, Radiology. $3 1019076
690 $a 0552
690 $a 0574
710 2 0 $a University of Illinois at Urbana-Champaign. $3 626646
773 0 $t Dissertation Abstracts International $g 64-08B.
790 1 0 $a Wiener, Erik C., $e advisor
790 $a 0090
791 $a Ph.D.
792 $a 2003
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3101793