A FORTRAN program for the optimization of radiotherapy treatment planning using the complication probability factor...

Area of Science:

• Radiation oncology
• Medical physics
• Radiobiology

Background:

• Radiotherapy treatment planning requires balancing tumoricidal doses with minimizing damage to healthy tissues.
• Objective functions are needed to quantify and optimize radiation dose distributions for patient safety.

Purpose of the Study:

• To introduce and describe the Complication Probability Factor (CPF) as an objective function for radiotherapy treatment planning optimization.
• To detail a computational method for identifying treatment plans that minimize the CPF while ensuring adequate tumor dose.

Main Methods:

• The Complication Probability Factor (CPF) was developed based on radiobiological principles and clinical data.
• A FORTRAN program was created to calculate the CPF for given radiation dose distributions.
• The CPF program was integrated with a commercial radiotherapy treatment planning system for automated optimization.

Main Results:

• The CPF quantifies the probability of serious complications in healthy tissues due to radiation dose.
• Computerized searches can identify radiotherapy plans that minimize the averaged CPF across irradiated healthy tissue volumes.
• The described CPF program facilitates the optimization of treatment plans for improved patient outcomes.

Conclusions:

• The CPF provides an objective, radiobiologically-based metric for optimizing radiotherapy plans.
• Minimizing the CPF during treatment planning can lead to reduced risks of severe complications in patients.
• The CPF FORTRAN program offers a practical tool for enhancing radiotherapy treatment planning and patient safety.