Advancing patient care: Machine learning models for predicting grade 3+ toxicities in gynecologic cancer patients treated with HDR brachytherapy.

Journal: PloS one
PMID: 40367095

Abstract

BACKGROUND: Gynecological cancers are among the most prevalent cancers in women worldwide. Brachytherapy, often used as a boost to external beam radiotherapy, is integral to treatment. Advances in computation, algorithms, and data availability have popularized the use of machine learning to predict patient outcomes. Recent studies have applied models such as logistic regression, support vector machines, and deep learning networks to predict specific toxicities in patients who have undergone brachytherapy.

Authors

  • Andres Portocarrero-Bonifaz
    Department of Radiation Oncology, Brown Cancer Center, University of Louisville School of Medicine, Louisville, Kentucky, United States of America.
  • Salman Syed
    Department of Radiation Oncology, Brown Cancer Center, University of Louisville School of Medicine, Louisville, Kentucky, United States of America.
  • Maxwell Kassel
    Department of Radiation Oncology, Brown Cancer Center, University of Louisville School of Medicine, Louisville, Kentucky, United States of America.
  • Grant W McKenzie
    Department of Radiation Oncology, Brown Cancer Center, University of Louisville School of Medicine, Louisville, Kentucky, United States of America.
  • Vishwa M Shah
    Division of Gynecologic Oncology, Department of Gynecology and Obstetrics, Loma Linda University Medical Center, Loma Linda, California, United States of America.
  • Bryce M Forry
    Department of Radiation Oncology, Brown Cancer Center, University of Louisville School of Medicine, Louisville, Kentucky, United States of America.
  • Jeremy T Gaskins
    Department of Bioinformatics and Biostatistics, University of Louisville School of Public Health and Information Sciences, Louisville, Kentucky, United States of America.
  • Keith T Sowards
    Department of Radiation Oncology, Brown Cancer Center, University of Louisville School of Medicine, Louisville, Kentucky, United States of America.
  • Thulasi Babitha Avula
    Department of Radiation Oncology, Brown Cancer Center, University of Louisville School of Medicine, Louisville, Kentucky, United States of America.
  • Adrianna Masters
    Department of Radiation Oncology, Brown Cancer Center, University of Louisville School of Medicine, Louisville, Kentucky, United States of America.
  • Jose G Schneider
    Department of Radiation Oncology, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.
  • Scott R Silva
    Department of Radiation Oncology, Brown Cancer Center, University of Louisville School of Medicine, Louisville, Kentucky, United States of America.

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