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Monte Carlo simulations in radiotherapy dosimetry.

Pedro Andreo
Published in: Radiation oncology (London, England) (2018)
Issues are raised that include the necessity for consistency in the data throughout the entire dosimetry chain in reference dosimetry, and how Bragg-Gray theory breaks down for small photon fields. Both aspects are less critical for MC treatment planning applications, but there are important constraints like tissue characterization and its patient-to-patient variability, which together with the conversion between dose-to-water and dose-to-tissue, are analysed in detail. Although these constraints are common to all methods and algorithms used in different types of treatment planning systems, they make uncertainties involved in MC treatment planning to still remain "uncertain".
Keyphrases
  • monte carlo
  • case report
  • machine learning
  • early stage
  • radiation therapy
  • big data
  • electronic health record
  • deep learning
  • squamous cell carcinoma
  • radiation induced
  • artificial intelligence
  • molecular dynamics