The course of radiation treatment of cancer patients has three major phases:
- Diagnostic and Prescription;
- Simulation and Quality Assurance; and
- Delivery.
In Simulation and Quality Assurance (QA), a specific plan on how to deliver the prescribed radiation to the tumor is developed. Penn scientists have developed a software-based virtual Intensity Modulated Radiation Therapy (IMRT) Quality Assurance model that extracts features associated with failure modes (between the treatment planning system and the linear accelerators) and uses machine learning to learn from pass plans in order to accurately predict the gamma passing rates. This method could save on the time and cost of QA, and reduce the number of replans needed.
Published: 6/24/2024