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A simple algorithm to predict non-compliance with organ at risk dose-volume constraints when planning intensity modulated post-prostatectomy radiation treatment: 'Why we should put the CART before the horse'.

Natalie CollierAndrew B KneeboneGeorge HrubyPhilip McCloudJeremy BoothThomas Eade
Published in: Journal of medical imaging and radiation oncology (2019)
A simple algorithm was developed to predict plan quality by using the OV of the bladder and rectum with the PTV. This algorithm may be used a priori to assess the planning process in the context of variable anatomy, and to optimise planning quality and efficiency.
Keyphrases
  • machine learning
  • deep learning
  • neural network
  • quality improvement
  • radiation therapy
  • benign prostatic hyperplasia
  • smoking cessation