ArticleJournal of applied clinical medical physics2023
Dosimetric potential of knowledge-based planning model trained with HyperArc plans for brain metastases.
Article in Journal of applied clinical medical physics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Dosimetric impact of knowledge-based automated planning using HyperArc for angiosarcoma of the scalp.Physical and engineering sciences in medicine · 2026Article
- Knowledge based automated planning for non-coplanar VMAT stereotactic radiosurgery in ocular malignancies.Journal of applied clinical medical physics · 2026Article
- Impact of Multileaf Collimator Width and Normal Tissue Objective on Radiation Dose Distribution in Stereotactic Radiosurgery Using HyperArc for Single Brain Lesions.Current oncology (Toronto, Ont.) · 2025Article
- A knowledge-based planning model to identify fraction-reduction opportunities in brain stereotactic radiotherapy.Journal of applied clinical medical physics · 2025Article
- Dosimetric potential of knowledge-based planning model trained with HyperArc plans for brain metastases.Journal of applied clinical medical physics · 2023Article
- A Dosimetric Comparison of HyperArc Therapy Planning and Volumetric Modulated Arc Therapy Planning in Treating Patients With Glioblastoma Multiforme.In vivo (Athens, Greece)Article
- Effects of Institutional Experience on Plan Quality in Stereotactic Radiotherapy Using HyperArc for Brain Metastases.In vivo (Athens, Greece)Article
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Authors and funding
9 authors.
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No grant is acknowledged in the PubMed record.
Abstract
objectiveDosimetric potential of knowledge-based RapidPlan planning model trained with HyperArc plans (Model-HA) for brain metastases has not been reported. We developed a Model-HA and compared its performance with that of clinical volumetric modulated arc therapy (VMAT) plans.
methodsFrom 67 clinical stereotactic radiosurgery (SRS) HyperArc plans for brain metastases, 47 plans were used to build and train a Model-HA. The other 20 clinical HyperArc plans were recalculated in RapidPlan system with Model-HA. The model performance was validated with the 20 plans by comparing dosimetric parameters for normal brain tissue between clinical plans and model-generated plans. The 20 clinical conventional VMAT-based SRS or stereotactic radiotherapy plans (CL-VMAT) were reoptimized with Model-HA (RP) and HyperArc system (HA), respectively. The dosimetric parameters were compared among three plans (CL-VMAT vs. RP vs. HA) in terms of planning target volume (PTV), normal brain excluding PTVs (Brain - PTV), brainstem, chiasm, and both optic nerves.
resultsIn model validation, the optimization performance of Model-HA was comparable to that of HyperArc system. In comparison to CL-VMAT, there were no significant differences among three plans with respect to PTV coverage (p > 0.17) and maximum dose for brainstem, chiasm, and optic nerves (p > 0.40). RP provided significantly lower V
conclusionThe Model-HA has the potential to significantly reduce the normal brain dose of the original VMAT plans for brain metastases.
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