Factors associated with the local control of brain metastases: a systematic search and machine learning application.

Journal: BMC medical informatics and decision making
Published Date: Jun 21, 2024

Abstract

BACKGROUND: Enhancing Local Control (LC) of brain metastases is pivotal for improving overall survival, which makes the prediction of local treatment failure a crucial aspect of treatment planning. Understanding the factors that influence LC of brain metastases is imperative for optimizing treatment strategies and subsequently extending overall survival. Machine learning algorithms may help to identify factors that predict outcomes.

Authors

  • Hemalatha Kanakarajan
    Department of Cognitive Neuropsychology, Tilburg University, Tilburg, The Netherlands. H.Kanakarajan@tilburguniversity.edu.
  • Wouter De Baene
    Department of Cognitive Neuropsychology, Tilburg University, Tilburg, The Netherlands.
  • Karin Gehring
    Department of Cognitive Neuropsychology, Tilburg University, Tilburg, The Netherlands.
  • Daniëlle B P Eekers
    Department of Radiation Oncology (MAASTRO), GROW-School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, Netherlands.
  • Patrick Hanssens
    Gamma Knife Center, Elisabeth-TweeSteden Hospital, Tilburg, The Netherlands.
  • Margriet Sitskoorn
    Department of Cognitive Neuropsychology, Tilburg University, Tilburg, The Netherlands. M.M.Sitskoorn@tilburguniversity.edu.

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