A new radiobiology-based HDR brachytherapy treatment planning algorithm used to investigate the potential for hypofractionation in cervical cancer

TL;DR

This study introduces a radiobiology-based HDR brachytherapy planning algorithm that evaluates hypofractionation potential in cervical cancer, aiming to reduce treatment sessions while maintaining efficacy and safety.

Contribution

The paper presents a novel optimization algorithm incorporating tissue-specific and fractionation effects, enabling evaluation of hypofractionated brachytherapy plans.

Findings

Hypofractionated plans with 3-4 fractions achieve comparable target coverage.

The new algorithm accounts for tissue response and fractionation effects.

Plans with fewer fractions can be effective in specific cases.

Abstract

Most commercially available treatment planning systems for brachytherapy operate based on physical dose and do not incorporate fractionation or tissue-specific response. The purpose of this study is to investigate the potential for hypofractionation in HDR brachytherapy, thereby reducing the number of implants required. A new treatment planning algorithm was built in order to optimize based on tissue and fractionation specific parameters. Different fractionation schemes were considered for 6 patients, and plans were created using the new algorithm. A baseline fractionation scheme consisting of 5 fractions was compared to hypofractionated plans of 1 to 4 fractions. The effectiveness of each plan was evaluated using radiobiological criteria taken from GEC-ESTRO guidelines. The results of this study indicate that an optimization algorithm based on biological parameters has similar functionality to traditional planning methods with the additional ability to account for fractionation effects. Using this algorithm, it was shown that plans consisting of 3 and 4 fractions have comparable target coverage with equivalent normal tissue exposure. In some specific cases, further fractionation may present acceptable target coverage as well.