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Magnetic resonance imaging for secondary assessment of breast density in a high-risk cohort |
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| Authors: | Catherine Klifa Julio Carballido-Gamio Lisa Wilmes Anne Laprie John Shepherd Jessica Gibbs Bo Fan Susan Noworolski Nola Hylton |
| Institution: | 1. Department of Pathology, The Johns Hopkins Hospital, Baltimore, MD 21231, USA;2. Department of Neurosurgery, The Johns Hopkins Hospital, Baltimore, MD 21231, USA;3. Department of Oncology, The Johns Hopkins Hospital, Baltimore, MD 21231, USA;1. Department of Nuclear Medicine, University of Ottawa, Ottawa, ON, Canada;2. Department of Internal Medicine, University of Manitoba, Winnipeg, MB, Canada;3. Center for Metabolic Bone Diseases and Academic Unit of Bone Metabolism, Department of Oncology & Metabolism, University of Sheffield Medical School, Sheffield, UK;4. Institute for Health and Aging, Catholic University of Australia, Melbourne, Australia;5. MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK;6. NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Tremona Road, Southampton, UK;7. Bone and Joint Department, Lausanne University Hospital, Lausanne, Switzerland;1. Department of Radiology, Duke University Medical Center, Durham, NC 27710;2. Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina |
| 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. |
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