title: Magnetic resonance imaging for secondary assessment of breast density in a high-risk cohort.
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 R(2)=.67. However the MRI/mammography density correlation was higher in patients with lower breast density (R(2)=.73) than in patients with higher breast density (R(2)=.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.
authors.affiliation: Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94115-1667, USA. catherine.klifa@radiology.ucsf.edu
authors.forename: Catherine
authors.initials: C
authors.lastname: Klifa
authors.forename: Julio
authors.initials: J
authors.lastname: Carballido-Gamio
authors.forename: Lisa
authors.initials: L
authors.lastname: Wilmes
authors.forename: Anne
authors.initials: A
authors.lastname: Laprie
authors.forename: John
authors.initials: J
authors.lastname: Shepherd
authors.forename: Jessica
authors.initials: J
authors.lastname: Gibbs
authors.forename: Bo
authors.initials: B
authors.lastname: Fan
authors.forename: Susan
authors.initials: S
authors.lastname: Noworolski
authors.forename: Nola
authors.initials: N
authors.lastname: Hylton
mesh_terms: D000328:Adult; D000465:Algorithms; D001943:Breast Neoplasms / Q000175:diagnosis*; D015331:Cohort Studies; D003720:Densitometry / Q000379:methods*; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008875:Middle Aged; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012307:Risk Factors; D012680:Sensitivity and Specificity