A Competition, Benchmark, Code, and Data for Using Artificial Intelligence to Detect Lesions in Digital Breast Tomosynthesis.

Journal: JAMA network open
Published Date:

Abstract

IMPORTANCE: An accurate and robust artificial intelligence (AI) algorithm for detecting cancer in digital breast tomosynthesis (DBT) could significantly improve detection accuracy and reduce health care costs worldwide.

Authors

  • Nicholas Konz
    Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA.
  • Mateusz Buda
    Department of Radiology, Duke University School of Medicine, Durham, NC, USA; School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden. Electronic address: buda@kth.se.
  • Hanxue Gu
    Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina.
  • Ashirbani Saha
    Department of Radiology, Duke University School of Medicine, 2424 Erwin Road, Suite 302, Durham, NC, 27705, USA. ashirbani.saha@duke.edu.
  • Jichen Yang
  • Jakub Chledowski
    Jagiellonian University, Kraków, Poland.
  • Jungkyu Park
  • Jan Witowski
    Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA.
  • Krzysztof J Geras
    2 Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY.
  • Yoel Shoshan
    From the Department of Healthcare Informatics, IBM Research, IBM R&D Labs, University of Haifa Campus, Mount Carmel, Haifa 3498825, Israel (A.A.B., M.C., Y.S., A.S., A.H., R.M., E.B., S.N., E.K., Y.G., M.R.Z.); MaccabiTech, MKM, Maccabi Healthcare Services, Tel Aviv, Israel (E.H., G.K., V.S.); and Department of Imaging, Assuta Medical Centers, Tel Aviv, Israel (M.G.).
  • Flora Gilboa-Solomon
    Medical Image Analytics, IBM Research, Haifa, Israel.
  • Daniel Khapun
    Medical Image Analytics, IBM Research, Haifa, Israel.
  • Vadim Ratner
    Medical Image Analytics, IBM Research, Haifa, Israel.
  • Ella Barkan
    From the Department of Healthcare Informatics, IBM Research, IBM R&D Labs, University of Haifa Campus, Mount Carmel, Haifa 3498825, Israel (A.A.B., M.C., Y.S., A.S., A.H., R.M., E.B., S.N., E.K., Y.G., M.R.Z.); MaccabiTech, MKM, Maccabi Healthcare Services, Tel Aviv, Israel (E.H., G.K., V.S.); and Department of Imaging, Assuta Medical Centers, Tel Aviv, Israel (M.G.).
  • Michal Ozery-Flato
    IBM Research-Haifa, Haifa, Israel.
  • Robert Marti
  • Akinyinka Omigbodun
    Medical and Imaging Informatics Group, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles.
  • Chrysostomos Marasinou
    Medical and Imaging Informatics Group, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles.
  • Noor Nakhaei
    Medical and Imaging Informatics Group, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles.
  • William Hsu
    Medical & Imaging Informatics, Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90024, USA.
  • Pranjal Sahu
  • Md Belayat Hossain
    Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania.
  • Juhun Lee
    Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania.
  • Carlos Santos
    Internal Medicine, Rush University Medical Center, Chicago, IL, USA.
  • Artur Przelaskowski
    Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland.
  • Jayashree Kalpathy-Cramer
    Department of Radiology, MGH/Harvard Medical School, Charlestown, Massachusetts.
  • Benjamin Bearce
    Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown.
  • Kenny Cha
    Department of Radiology, University of Michigan, Ann Arbor, Michigan 48109.
  • Keyvan Farahani
    Image-Guided Interventions and Imaging Informatics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA.
  • Nicholas Petrick
  • Lubomir Hadjiiski
    Department of Radiology, The University of Michigan, Ann Arbor, Michigan 48109-0904.
  • Karen Drukker
    Department of Radiology, University of Chicago, Chicago, IL, 60637, USA.
  • Samuel G Armato
    From the Department of Radiology, The University of Chicago, 5841 S Maryland Ave, MC 2026, Chicago, IL 60637.
  • Maciej A Mazurowski
    Department of Radiology, Duke University School of Medicine, 2424 Erwin Road, Suite 302, Durham, NC, 27705, USA.