Simultaneous optimization of isocenter locations and sector duration in radiosurgery

Area of Science:

• Medical Physics
• Radiotherapy
• Computational Optimization

Background:

• Stereotactic radiosurgery is a key treatment for brain tumors.
• Existing inverse planning methods have limitations in incorporating treatment time.
• Optimizing treatment duration is crucial for patient comfort and workflow efficiency.

Purpose of the Study:

• To develop and evaluate an integer programming model for simultaneous sector duration and isocenter optimization (SDIO).
• To tractably incorporate treatment time into the inverse planning process for Leksell Gamma Knife Icon.
• To assess the performance of the SDIO model against clinical plans.

Main Methods:

• Formulation of an integer programming model for the SDIO problem.
• Implementation of a Benders decomposition scheme to solve the optimization problem.
• Validation using anonymized treatment data from eight clinical cases.

Main Results:

• The proposed SDIO model successfully optimized treatment plans for Leksell Gamma Knife Icon.
• Treatment plans generated by the SDIO model met or exceeded clinical guidelines.
• The model demonstrated the ability to achieve high conformity in treatment delivery.
• The optimization approach effectively incorporated treatment time considerations.

Conclusions:

• The developed integer programming model provides an effective method for simultaneous sector duration and isocenter optimization in Leksell Gamma Knife Icon radiosurgery.
• This approach offers a tractable way to reduce treatment time while ensuring plan quality and adherence to clinical standards.
• The SDIO model represents a significant advancement in radiotherapy planning for brain tumors.