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Kinetic assessment of breast tumors using high spatial resolution signal enhancement ratio (SER) imaging
Author(s) -
Li KaLoh,
Henry Roland G.,
Wilmes Lisa J.,
Gibbs Jessica,
Zhu Xiaoping,
Lu Ying,
Hylton Nola M.
Publication year - 2007
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.21361
Subject(s) - rank correlation , dynamic contrast enhanced mri , nuclear medicine , pharmacokinetics , image resolution , breast tumor , medicine , dynamic contrast , pixel , breast cancer , correlation , nuclear magnetic resonance , mathematics , magnetic resonance imaging , radiology , cancer , computer science , artificial intelligence , physics , statistics , geometry
The goal of this study was to investigate the relationship between an empirical contrast kinetic parameter, the signal enhancement ratio (SER), for three‐timepoint, high spatial resolution contrast‐enhanced (CE) MRI, and a commonly analyzed pharmacokinetic parameter, k ep , using dynamic high temporal resolution CE‐MRI. Computer simulation was performed to investigate: 1) the relationship between the SER and the contrast agent concentration ratio (CACR) of two postcontrast timepoints ( t p 1 and t p 2 ); 2) the relationship between the CACR and the redistribution rate constant ( k ep ) based on a two‐compartment pharmacokinetic model; and 3) the sensitivity of the relationship between the SER and k ep to native tissue T 1 relaxation time, T 10 , and to errors in an assumed vascular input function. The relationship between SER and k ep was verified experimentally using a mouse model of breast cancer. The results showed that a monotonic mathematical relationship between SER and k ep could be established if the acquisition parameters and the two postinjection timepoints of SER, t p 1 , t p 2 , were appropriately chosen. The in vivo study demonstrated a close correlation between SER and k ep on a pixel‐by‐pixel basis (Spearman rank correlation coefficient = 0.87 ± 0.03). The SER is easy to calculate and may have a unique role in breast tissue characterization. Magn Reson Med, 2007. © 2007 Wiley‐Liss, Inc.