TU-E-BRA-10: Personalized Utility Function for Radiotherapy Based on Pulmonary Ventilation of Locally Advanced Lung...

Area of Science:

• Radiotherapy
• Medical Physics
• Pulmonary Medicine

Background:

• Lung cancer radiotherapy planning aims to maximize tumor dose while minimizing toxicity to healthy lung.
• Current organ-function-based radiotherapy methods often apply a one-size-fits-all approach to pulmonary function data.
• Personalizing treatment based on individual patient physiology is crucial for optimizing radiotherapy outcomes.

Purpose of the Study:

• To develop patient-specific utility functions for radiotherapy planning in locally advanced lung cancer.
• To personalize organ-function-based treatment by incorporating individual pulmonary function distributions.
• To improve radiotherapy by tailoring dose constraints to each patient's unique lung function.

Main Methods:

• Retrospective analysis of five locally advanced lung cancer patients.
• Utilized 4DCT imaging to calculate fractional regional ventilation histograms.
• Developed personalized utility functions from cumulative distribution functions (CDFs) of ventilation, based on peak fractional ventilation.

Main Results:

• Personalized functional plans were deemed satisfactory, comparable to conventional plans.
• Functional plans demonstrated superior sparing of high-ventilation lung volumes.
• Significant reductions in fV20, fV30, and mean lung dose were observed with personalized plans (p < 0.01).

Conclusions:

• Organ-function-based radiotherapy can be enhanced by personalizing utility functions.
• Incorporating heterogeneous pulmonary function and patient-specific utility functions improves radiotherapy planning.
• This personalized approach holds promise for reducing radiotherapy-induced lung complications.