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• W2765745871 abstract "Mammographic breast density (MBD) is the most commonly used method to assess the volume of fibroglandular tissue (FGT). However, MRI could provide a clinically feasible and more accurate alternative. There were three aims in this study: (1) to evaluate a clinically feasible method to quantify FGT with MRI, (2) to assess the inter-rater agreement of MRI-based volumetric measurements and (3) to compare them to measurements acquired using digital mammography and 3D tomosynthesis. This retrospective study examined 72 women (mean age 52.4 ± 12.3 years) with 105 disease-free breasts undergoing diagnostic 3.0-T breast MRI and either digital mammography or tomosynthesis. Two observers analyzed MRI images for breast and FGT volumes and FGT-% from T1-weighted images (0.7-, 2.0-, and 4.0-mm-thick slices) using K-means clustering, data from histogram, and active contour algorithms. Reference values were obtained with Quantra software. Inter-rater agreement for MRI measurements made with 2-mm-thick slices was excellent: for FGT-%, r = 0.994 (95% CI 0.990–0.997); for breast volume, r = 0.985 (95% CI 0.934–0.994); and for FGT volume, r = 0.979 (95% CI 0.958–0.989). MRI-based FGT-% correlated strongly with MBD in mammography (r = 0.819–0.904, P < 0.001) and moderately to high with MBD in tomosynthesis (r = 0.630–0.738, P < 0.001). K-means clustering-based assessments of the proportion of the fibroglandular tissue in the breast at MRI are highly reproducible. In the future, quantitative assessment of FGT-% to complement visual estimation of FGT should be performed on a more regular basis as it provides a component which can be incorporated into the individual’s breast cancer risk stratification." @default.
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• W2765745871 date "2017-10-18" @default.
• W2765745871 modified "2023-10-16" @default.
• W2765745871 title "Quantitative Volumetric K-Means Cluster Segmentation of Fibroglandular Tissue and Skin in Breast MRI" @default.
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• W2765745871 doi "https://doi.org/10.1007/s10278-017-0031-1" @default.
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