A machine learning model that classifies breast cancer pathologic complete response on MRI post-neoadjuvant chemotherapy.

Journal: Breast cancer research : BCR
Published Date: May 28, 2020

Abstract

BACKGROUND: For breast cancer patients undergoing neoadjuvant chemotherapy (NAC), pathologic complete response (pCR; no invasive or in situ) cannot be assessed non-invasively so all patients undergo surgery. The aim of our study was to develop and validate a radiomics classifier that classifies breast cancer pCR post-NAC on MRI prior to surgery.

Authors

  • Elizabeth J Sutton
    Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA. suttone@mskcc.org.
  • Natsuko Onishi
    Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Duc A Fehr
    Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Brittany Z Dashevsky
    Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Meredith Sadinski
    Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Katja Pinker
    Department of Radiology, Columbia University, Vagelos College of Physicians and Surgeons, New York, New York, USA.
  • Danny F Martinez
    Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Edi Brogi
    Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Lior Braunstein
    Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Pedram Razavi
    Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Mahmoud El-Tamer
    Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Virgilio Sacchini
    Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Joseph O Deasy
    Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Elizabeth A Morris
    Department of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, New York, NY.
  • Harini Veeraraghavan
    Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY; veerarah@mskcc.org.

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