The dosimetric impacts of ct-based deep learning autocontouring algorithm for prostate cancer radiotherapy planning dosimetric accuracy of DirectORGANS.

Journal: BMC urology
Published Date: Aug 2, 2025

Abstract

PURPOSE: In study, we aimed to dosimetrically evaluate the usability of a new generation autocontouring algorithm (DirectORGANS) that automatically identifies organs and contours them directly in the computed tomography (CT) simulator before creating prostate radiotherapy plans.

Authors

  • Serap Çatlı Dinç
    Department of Radiation Oncology, Faculty of Medicine School of Gazi University, Ankara, Turkey. serapcatli@hotmail.com.
  • Aybala Nur Üçgül
    Department of Radiation Oncology, Gulhane Training and Research Hospital, Ankara, Turkey.
  • Hüseyin Bora
    Department of Radiation Oncology, Faculty of Medicine School of Gazi University, Ankara, Turkey.
  • Ertuğrul Şentürk
    Department of Radiation Oncology, Faculty of Medicine School of Gazi University, Ankara, Turkey.

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