Towards optimal heterogeneous prostate radiotherapy dose prescriptions based on patient‐specific or population‐based biological features

Documenti analoghi

• Predicting prostate cancer recurrence using an atlas‐based tumor control probability model
  di: Kazi Ridita Mahtaba, et al.
  Pubblicazione: (2026)
• Deep learning‐based dose prediction for magnetic resonance‐guided prostate radiotherapy
  di: Samuel Fransson, et al.
  Pubblicazione: (2024)
• Validation of knowledge‐based and multicriterial optimization assistive auto‐planning algorithms for prostate VMAT radiotherapy using biological optimization
  di: Willem P. E. Boonzaier, et al.
  Pubblicazione: (2025)
• Pelvic dose accumulation accuracy in a CBCT based online adaptive radiotherapy system
  di: Mikel Byrne, et al.
  Pubblicazione: (2025)
• Monte Carlo–based optimization of CTV‐to‐PTV margins for image‐guided VMAT prostate radiotherapy
  di: Quan Chen, et al.
  Pubblicazione: (2026)