MRI Radiomics of Breast Cancer: Machine Learning-Based Prediction of Lymphovascular Invasion Status.

Journal: Academic radiology
Published Date: Dec 4, 2021

Abstract

RATIONALE AND OBJECTIVES: In patients with breast cancer (BC), lymphovascular invasion (LVI) status is considered an important prognostic factor. We aimed to develop machine learning (ML)-based radiomics models for the prediction of LVI status in patients with BC, using preoperative MRI images.

Authors

  • Yasemin Kayadibi
    Department of Radiology, Istanbul University-Cerrahpasa, Cerrahpasa Medical Faculty, Kocamustafapasa, Istanbul, Turkey. Electronic address: ysmnkayadibi@gmail.com.
  • Burak Kocak
    Department of Radiology, Istanbul Training and Research Hospital, Istanbul, Turkey. drburakkocak@gmail.com.
  • Nese Ucar
    Department of Radiology, Gaziosmanspasa Education and Research Hospital,Gaziosmanpasa, Istanbul, Turkey. Electronic address: neseyigit@hotmail.com.
  • Yesim Namdar Akan
    Department of Radiology, Gaziosmanspasa Education and Research Hospital, Gaziosmanpasa, Istanbul, Turkey. Electronic address: namdaryesim@gmail.com.
  • Emine Yildirim
    Department of General Surgery, Gaziosmanspasa Education and Research Hospital, Gaziosmanpasa, Istanbul, Turkey. Electronic address: opdreyildirim@gmail.com.
  • Sibel Bektas
    Department of Pathology, Gaziosmanspasa Education and Research Hospital, Gaziosmanpasa, Istanbul, Turkey. Electronic address: sibel_bektas@yahoo.com.

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