Title of article :
Magnetic resonance imaging for secondary assessment of breast density in a high-risk cohort
Author/Authors :
Klifa، C. نويسنده , , Catherine and Carballido-Gamio، نويسنده , , Julio and Wilmes، نويسنده , , Lisa and Laprie، نويسنده , , Anne and Shepherd، نويسنده , , John and Gibbs، نويسنده , , Jessica and Fan، نويسنده , , Bo and Noworolski، نويسنده , , Susan and Hylton، نويسنده , , Nola، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2010
Pages :
8
From page :
8
To page :
15
Abstract :
A quantitative measure of three-dimensional breast density derived from noncontrast magnetic resonance imaging (MRI) was investigated in 35 women at high-risk for breast cancer. A semiautomatic segmentation tool was used to quantify the total volume of the breast and to separate volumes of fibroglandular and adipose tissue in noncontrast MRI data. The MRI density measure was defined as the ratio of breast fibroglandular volume over total volume of the breast. The overall correlation between MRI and mammographic density measures was R2=.67. However the MRI/mammography density correlation was higher in patients with lower breast density (R2=.73) than in patients with higher breast density (R2=.26). Women with mammographic density higher than 25% exhibited very different magnetic resonance density measures spread over a broad range of values. These results suggest that MRI may provide a volumetric measure more representative of breast composition than mammography, particularly in groups of women with dense breasts. Magnetic resonance imaging density could potentially be quantified and used for a better assessment of breast cancer risk in these populations.
Keywords :
Volumetric breast density , breast cancer risk , Fuzzy C-Means , segmentation , Breast MRI , Mammographic density , MR breast density
Journal title :
Magnetic Resonance Imaging
Serial Year :
2010
Journal title :
Magnetic Resonance Imaging
Record number :
1832924
Link To Document :
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