International journal of radiation oncology, biology, physics · 2014
Fully automated volumetric modulated arc therapy plan generation for prostate cancer patients.
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Voet Peter W J, Dirkx Maarten L P, Breedveld Sebastiaan, Al-Mamgani Abrahim, Incrocci Luca, Heijmen Ben J M
Аннотация
PURPOSE: To develop and evaluate fully automated volumetric modulated arc therapy (VMAT) treatment planning for prostate cancer patients, avoiding manual trial-and-error tweaking of plan parameters by dosimetrists.
METHODS AND MATERIALS: A system was developed for fully automated generation of VMAT plans with our commercial clinical treatment planning system (TPS), linked to the in-house developed Erasmus-iCycle multicriterial optimizer for preoptimization. For 30 randomly selected patients, automatically generated VMAT plans (VMATauto) were compared with VMAT plans generated manually by 1 expert dosimetrist in the absence of time pressure (VMATman). For all treatment plans, planning target volume (PTV) coverage and sparing of organs-at-risk were quantified.
RESULTS: All generated plans were clinically acceptable and had similar PTV coverage (V95% > 99%). For VMATauto and VMATman plans, the organ-at-risk sparing was similar as well, although only the former plans were generated without any planning workload.
CONCLUSIONS: Fully automated generation of high-quality VMAT plans for prostate cancer patients is feasible and has recently been implemented in our clinic.
METHODS AND MATERIALS: A system was developed for fully automated generation of VMAT plans with our commercial clinical treatment planning system (TPS), linked to the in-house developed Erasmus-iCycle multicriterial optimizer for preoptimization. For 30 randomly selected patients, automatically generated VMAT plans (VMATauto) were compared with VMAT plans generated manually by 1 expert dosimetrist in the absence of time pressure (VMATman). For all treatment plans, planning target volume (PTV) coverage and sparing of organs-at-risk were quantified.
RESULTS: All generated plans were clinically acceptable and had similar PTV coverage (V95% > 99%). For VMATauto and VMATman plans, the organ-at-risk sparing was similar as well, although only the former plans were generated without any planning workload.
CONCLUSIONS: Fully automated generation of high-quality VMAT plans for prostate cancer patients is feasible and has recently been implemented in our clinic.