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  4. Dynamic Contrast-enhanced and Microscopic MR imaging for Microcirculation and Angiogenesis of Breast Cancer (2/2)
 
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Dynamic Contrast-enhanced and Microscopic MR imaging for Microcirculation and Angiogenesis of Breast Cancer (2/2)

Date Issued
2003-10-31
Date
2003-10-31
Author(s)
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DOI
912314B002234
URI
http://ntur.lib.ntu.edu.tw//handle/246246/25432
Abstract
During the second-year project, magnetic resonance (MR) angiogenetic parameters derived from dynamic contrast enhanced (DCE) MRI was applied to the whole tumor. We evaluated angiogenic compositions and tumor response in the course of neoadjuvant chemotherapy in patients with locally advanced breast cancer (LABC) using DCE MRI. Thirteen patients with LABC underwent serial DCE MRI (61 MR studies) during the course of chemotherapy. DCE MRI was quantified using a two-compartment model at pixel-by-pixel basis. Analysis of parametric histograms of amplitude, exchange rate kout and peak enhancement over the whole tumor was performed. The distribution patterns of histograms were correlated with the tumor response. Initial kurtosis and standard deviation of amplitude before chemotherapy correlated with tumor response. Comparing the initial values with the values after the first course of chemotherapy, tumor response was associated with decrease in standard deviation of amplitude, and increase in kurtosis and decrease in standard deviation of kout. Comparing the initial values with the values after completing the chemotherapy, tumors with better response were associated with increase in kurtosis (r2=0.39), decrease in mean (r2=0.71) and standard deviation (r2=0.59) of amplitude, and decrease in mean of peak enhancement (r2=0.50). Our results suggested that tumors with better response tended to alter their internal compositions from heterogeneous to homogeneous distributions and to decrease in peak enhancement after chemotherapy. Serial analyses of parametric histograms of DCE MRI-derived angiogenic parameters can monitor the response of angiogenic compositions of a tumor throughout the course of chemotherapy, and is capable of predicting tumor response early in the course.
Subjects
magnetic resonance image
breast
chemotherapy
SDGs

[SDGs]SDG3

Publisher
臺北市:國立臺灣大學醫學院放射線科
Type
journal article
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