Explainable artificial intelligence analysis of brachytherapy boost receipt in cervical cancer during the COVID-19 era.

Journal: Brachytherapy
Published Date: Mar 28, 2024

Abstract

PURPOSE: Brachytherapy is a critical component of the standard-of-care curative radiotherapy regimen for women with locally advanced cervical cancer (LACC). However, existing literature suggests that many patients will not receive the brachytherapy boost. We used machine learning (ML) and explainable artificial intelligence to characterize this disparity.

Authors

  • Colton Ladbury
    Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA, USA.
  • Nicholas Eustace
    Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA.
  • Ari Kassardjian
    Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA.
  • Arya Amini
    Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA, USA.
  • Yi-Jen Chen
    Department of Obstetrics and Gynecology, Taipei Veterans General Hospital, Taipei, Taiwan; School of Medicine, National Yang-Ming University, Taipei, Taiwan. Electronic address: chenyj@vghtpe.gov.tw.
  • Edward Wang
    Department of Medical Oncology, City of Hope National Medical Center, Duarte, CA, USA.
  • Adrian Kohut
    Division of Gynecologic Oncology, City of Hope National Medical Center, Duarte, CA.
  • Ana Tergas
    Division of Gynecologic Oncology, City of Hope National Medical Center, Duarte, CA.
  • Ernest Han
    Department of Gynecologic Oncology, City of Hope National Medical Center, Duarte, CA, USA.
  • Mihae Song
    Division of Gynecologic Oncology, City of Hope National Medical Center, Duarte, CA.
  • Scott Glaser
    Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA, USA. Electronic address: sglaser@coh.org.

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