What is it about?
We developed a flexible Monte Carlo based robustness tool, which enables the dose calculation of treatment plans for different radiotherapy treatment techniques, taking patient- and machine-related uncertainties into account. Fast evaluation of the dosimetric impact of these uncertainties is conducted through a graphical-user-interface according to user-defined conditions, considering target and organ at risk volumes. The robustness tool provides accurate and comprehensive robustness calculation, visual and quantitative robustness evaluation, including a robustness index which summarizes dosimetric robustness against multiple uncertainties, and fills the need for an overarching robustness evaluation tool to determine plan quality.
Photo by National Cancer Institute on Unsplash
Why is it important?
Nowadays radiotherapy treatment plan robustness evaluation is usually cumbersome and often restricted to study a single type of uncertainty or on the target volume. However, with increasing variety and complexity of treatment techniques available, there is a need for simple, comprehensive calculation and evaluation tools to assess the dosimetric impact of patient- and machine-related uncertainties, including their combination.
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This page is a summary of: Development of a Monte Carlo based robustness calculation and evaluation tool, Medical Physics, May 2022, Wiley,
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