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Reducing variability among treatment machines using knowledge-based planning for head and neck, pancreatic, and rectal cancer.

Hideaki HirashimaMitsuhiro NakamuraNobutaka MukumotoRyo AshidaKota FujiiKiyonao NakamuraAya NakajimaKatsuyuki SakanakaMichio YoshimuraTakashi Mizowaki
Published in: Journal of applied clinical medical physics (2021)
Dosimetric indices of RapidPlan model-based plans appear to be comparable to the ones based on clinical plans regardless of energies, MLC types, and disease sites. The results suggest that the RapidPlan model can generate treatment plans independent of the type of treatment machine.
Keyphrases
  • rectal cancer
  • healthcare
  • radiation therapy
  • squamous cell carcinoma
  • machine learning
  • locally advanced
  • replacement therapy