Artificial Intelligence-Based Classification of Breast Lesions Imaged With a Multiparametric Breast MRI Protocol With Ultrafast DCE-MRI, T2, and DWI.

Journal: Investigative radiology
Published Date: Jun 1, 2019

Abstract

OBJECTIVES: We investigated artificial intelligence (AI)-based classification of benign and malignant breast lesions imaged with a multiparametric breast magnetic resonance imaging (MRI) protocol with ultrafast dynamic contrast-enhanced MRI, T2-weighted, and diffusion-weighted imaging with apparent diffusion coefficient mapping.

Authors

  • Mehmet U Dalmiş
    From the Departments of Radiology and Nuclear Medicine, and.
  • Albert Gubern-Mérida
    Diagnostic Image Analysis Group, Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Suzan Vreemann
    From the Departments of Radiology and Nuclear Medicine, and.
  • Peter Bult
    Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Nico Karssemeijer
  • Ritse Mann
    Diagnostic Image Analysis Group, Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Jonas Teuwen
    Department of Radiology and Nuclear Medicine, Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands.

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