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      Prediction of malignancy by a radiomic signature from contrast agent-free diffusion MRI in suspicious breast lesions found on screening mammography.

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          Abstract

          To assess radiomics as a tool to determine how well lesions found suspicious on breast cancer screening X-ray mammography can be categorized into malignant and benign with unenhanced magnetic resonance (MR) mammography with diffusion-weighted imaging and T2-weighted sequences.

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          Author and article information

          Journal
          J Magn Reson Imaging
          Journal of magnetic resonance imaging : JMRI
          Wiley-Blackwell
          1522-2586
          1053-1807
          Aug 2017
          : 46
          : 2
          Affiliations
          [1 ] Department of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
          [2 ] Department of Neuroradiology, University of Heidelberg Medical Center, Heidelberg, Germany.
          [3 ] Radiological Clinic at the ATOS Clinic Heidelberg, Heidelberg, Germany.
          [4 ] Radiology Center Mannheim (RZM), Mannheim, Germany.
          [5 ] Junior Group Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany.
          [6 ] Division of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
          [7 ] Department of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
          Article
          10.1002/jmri.25606
          28152264
          f8894294-60ef-4a5a-bfe6-6084949a80cf
          History

          DWIBS,apparent diffusion coefficient,diffusion-weighted imaging with background suppression,magnetic resonance,mammography,radiomics

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