Ranking radiotherapy treatment plans using decision-analytic and heuristic techniques

Area of Science:

• Medical Physics
• Decision Science

Background:

• Radiotherapy treatment optimization involves balancing conflicting objectives.
• Evaluating potential plans requires making trade-offs between competing outcomes.

Purpose of the Study:

• To develop a plan-ranking model for radiotherapy treatment optimization.
• To incorporate patient condition and physician preferences into treatment planning.

Main Methods:

• Utilized multiattribute decision theory to establish trade-offs.
• Developed a plan-ranking model using heuristics for clinical relevance.
• Computed a figure of merit for each treatment plan.

Main Results:

• The model successfully ranks tentative radiotherapy treatment plans from best to worst.
• The figure of merit can serve as an objective function for automated plan generation.

Conclusions:

• The developed approach provides a general framework for optimizing treatment plans in radiotherapy.
• This method can be adapted for other medical domains with similar decision-making characteristics.