Traditional versus modern approaches to screening mammography: a comparison of computer-assisted detection for synthetic 2D mammography versus an artificial intelligence algorithm for digital breast tomosynthesis.

Journal: Breast cancer research and treatment
Published Date: Jan 9, 2025

Abstract

PURPOSE: Traditional computer-assisted detection (CADe) algorithms were developed for 2D mammography, while modern artificial intelligence (AI) algorithms can be applied to 2D mammography and/or digital breast tomosynthesis (DBT). The objective is to compare the performance of a traditional machine learning CADe algorithm for synthetic 2D mammography to a deep learning-based AI algorithm for DBT on the same mammograms.

Authors

  • Manisha Bahl
    Massachusetts General Hospital, Department of Radiology, Boston, MA. Electronic address: mbahl1@mgh.harvard.edu.
  • Ashwini Kshirsagar
    Hologic, Inc., 250 Campus Drive, Marlborough, MA, 01752, USA.
  • Scott Pohlman
    Hologic, Inc., 250 Campus Drive, Marlborough, MA, 01752, USA.
  • Constance D Lehman
    From the Division of Breast Imaging, Department of Radiology, Massachusetts General Hospital/Harvard Medical School, 55 Fruit St, WAC 240, Boston, MA 02114 (M.B., C.D.L.); and Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Mass (R.B., A.B.Y., N.J.L., L.Y.).

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