Utilization of machine learning methods for prediction of acute and late rectal toxicity due to curative prostate radiotherapy.

Journal: Radiation protection dosimetry
PMID: 38932433

Abstract

OBJECTIVE: Rectal toxicity is one of the primary dose-limiting side effects of prostate cancer radiotherapy, and consequential impairment on quality of life in these patients with long survival is an important problem. In this study, we aimed to evaluate the possibility of predicting rectal toxicity with artificial intelligence model which was including certain dosimetric parameters.

Authors

  • Emine Elif Ozkan
    Department of Radiation Oncology, Suleyman Demirel University, Isparta, 32260, Türkiye.
  • Tekin Ahmet Serel
    Department of Urology, Suleyman Demirel University, Isparta, Turkey.
  • Arap Sedat Soyupek
    Department of Urology, Suleyman Demirel University, Isparta, 32260, Türkiye.
  • Zumrut Arda Kaymak
    Department of Radiation Oncology, Suleyman Demirel University, Isparta, 32260, Türkiye.

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