Convolutional Neural Network Using a Breast MRI Tumor Dataset Can Predict Oncotype Dx Recurrence Score.

Journal: Journal of magnetic resonance imaging : JMRI
PMID: 30129697

Abstract

BACKGROUND: Oncotype Dx is a validated genetic analysis that provides a recurrence score (RS) to quantitatively predict outcomes in patients who meet the criteria of estrogen receptor positive / human epidermal growth factor receptor-2 negative (ER+/HER2-)/node negative invasive breast carcinoma. Although effective, the test is invasive and expensive, which has motivated this investigation to determine the potential role of radiomics.

Authors

  • Richard Ha
    Department of Radiology, Columbia University Medical Center, New York, NY.
  • Peter Chang
    Department of Urology, Beth Israel Deaconess Medical Center, Boston, MA, USA.
  • Simukayi Mutasa
    Department of Radiology, Columbia University Medical Center, New York, New York 10032.
  • Jenika Karcich
    Department of Radiology, Columbia University Medical Center, New York, New York 10032.
  • Sarah Goodman
    Department of Radiology, Columbia University Medical Center, New York, New York, USA.
  • Elyse Blum
    Department of Radiology, Columbia University Medical Center, New York, New York, USA.
  • Kevin Kalinsky
    Department of Medicine, Division of Hematology and Oncology, New York Presbyterian-Columbia University Medical Center, New York, NY, USA.
  • Michael Z Liu
    Department of Radiology, Columbia University Medical Center, New York, NY.
  • Sachin Jambawalikar
    Department of Radiology, Columbia University Medical Center, New York, NY.

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