Deep learning of mammogram images to reduce unnecessary breast biopsies: a preliminary study.

Journal: Breast cancer research : BCR
PMID: 38790005

Abstract

BACKGROUND: Patients with a Breast Imaging Reporting and Data System (BI-RADS) 4 mammogram are currently recommended for biopsy. However, 70-80% of the biopsies are negative/benign. In this study, we developed a deep learning classification algorithm on mammogram images to classify BI-RADS 4 suspicious lesions aiming to reduce unnecessary breast biopsies.

Authors

  • Chang Liu
    Key Lab of Cell Differentiation and Apoptosis of Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Min Sun
    Division of Oncology, University of Pittsburgh Medical Center Hillman Cancer Center at St. Margaret, 200 Delafield Rd, Pittsburgh, PA, 15215, USA.
  • Dooman Arefan
    Department of Radiology, University of Pittsburgh, Pittsburgh, PA, United States.
  • Margarita Zuley
    Department of Radiology, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
  • Jules Sumkin
  • Shandong Wu
    Intelligent Systems Program, University of Pittsburgh, Pittsburgh, PA, United States.

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