Technical note: Evaluation of a spatial optimization model for prostate high dose‐rate brachytherapy in a clinical treatment planning system

Abstract

Background Spatial properties of a dose distribution, such as volumes of contiguous hot spots, are of clinical importance in treatment planning for high dose‐rate brachytherapy (HDR BT). We have in an earlier study developed an optimization model that reduces the prevalence of contiguous hot spots by modifying a tentative treatment plan. Purpose The aim of this study is to incorporate the correction of hot spots in a standard inverse planning workflow and to validate the integrated model in a clinical treatment planning system. The spatial function is included in the objective function for the inverse planning, as opposed to in the previous study where it was applied as a separate post‐processing step. Our aim is to demonstrate that fine‐adjustments of dose distributions, which are often performed manually in today's clinical practice, can be automated. Methods A spatial optimization function was introduced in the treatment planning system RayStation (RaySearch Laboratories AB, Stockholm, Sweden) via a research interface. A series of 10 consecutive prostate patients treated with HDR BT was retrospectively replanned with and without the spatial function. Results Optimization with the spatial function decreased the volume of the largest contiguous hot spot by on average 31%, compared to if the function was not included. The volume receiving at least 200% of the prescription dose decreased by on average 11%. Target coverage, measured as the fractions of the clinical target volume (CTV) and the planning target volume (PTV) receiving at least the prescription dose, was virtually unchanged (less than a percent change for both metrics). Organs‐at‐risk received comparable or slightly decreased doses if the spatial function was included in the optimization model. Conclusions Optimization of spatial properties such as the volume of contiguous hot spots can be integrated in a standard inverse planning workflow for brachytherapy, and need not be conducted as a separate post‐processing step.

Validation of automated post-adjustments of HDR prostate brachytherapy treatment plans by quantitative measures and oncologist observer study

“…The optimization tool ( 14 ) was applied to the clinical treatment plans in a research environment separate from clinical systems. The tool has also recently been implemented and evaluated in a research version of a clinical TPS ( 28 ). In the objective function of the tool, there are penalties for each pair of PTV dose points in which the doses are both too high or too low.…”