Advanced Treatment Planning.

Area of Science:

• Medical Physics
• Radiation Oncology
• Radiotherapy

Background:

• Particle therapy, including protons and heavier ions, adapts photon dose optimization techniques.
• It presents unique challenges, particularly concerning geometric uncertainties affecting dose quality.
• Robust optimization is increasingly vital for effective particle therapy planning.

Purpose of the Study:

• To highlight the critical role and specific challenges of robust optimization in particle therapy.
• To discuss the adaptation of existing and development of new planning tools for particle therapy.
• To address the complexities introduced by detailed relative biological effectiveness (RBE) models in heavier ion therapy.

Main Methods:

• Adapting technologies from photon dose optimization.
• Developing specific planning tools and approaches for robust optimization in particle therapy.
• Investigating new formulations for robust optimization problems.

Main Results:

• Robust optimization plays a more prominent role in particle therapy due to increased sensitivity to geometric uncertainties.
• Specific planning tools and approaches are being developed and adapted for particle therapy.
• The inclusion of detailed relative biological effectiveness (RBE) models for heavier ions further complicates dose optimization.

Conclusions:

• Particle therapy requires specialized robust optimization strategies beyond those used for photons.
• Advanced planning tools and methods are essential to address the unique challenges of particle therapy.
• Integrating detailed RBE models for heavier ions necessitates further research in dose optimization techniques.