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The Added Value of Statistical Modeling of Backscatter Properties in the Management of Breast Lesions at US.

Trop I, Destrempes F, El Khoury M, Robidoux A, Gaboury L, Allard L, Chayer B, Cloutier G

From the Department of Radiology, Breast Imaging Center (I.T., M.E.K.), Department of Surgical Oncology, Breast Care Center (A.R.), and Department of Pathology (L.G.), Centre Hospitalier de l'Université de Montréal, 3840 Saint-Urbain, Montreal, QC, Canada H2W 1T8; Department of Radiology, Radio-Oncology and Nuclear Medicine (I.T., M.E.K., G.C.) and Institute of Biomedical Engineering (G.C.), Université de Montréal, Montreal, Quebec, Canada; and Laboratory of Biorheology and Medical Ultrasonics, Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montreal, Quebec, Canada (F.D., L.A., B.C., G.C.).

To develop a classification method based on the statistical backscatter properties of tissues that can be used as an ancillary tool to the usual Breast Imaging Reporting and Data System (BI-RADS) classification for solid breast lesions identified at ultrasonography (US).

Radiology 2015;275(3):666-74.

Pubmed ID: 25496215

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