ArticleJournal of applied clinical medical physics2021
Efficient optimization of R50% when planning multiple cranial metastases simultaneously in single isocenter SRS/SRT.
Article in Journal of applied clinical medical physics, 2021. 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.
- Automatic single-isocenter multiple-target cranial stereotactic treatment plan optimization via planning system scripting.Journal of applied clinical medical physics · 2026Article
- Benchmarking intermediate dose spillage in single target stereotactic radiosurgery for brain metastases.Physics and imaging in radiation oncology · 2026Article
- AFI manual planning versus HyperArc auto-planning: A head-to-head comparison of SRS plan quality.Journal of applied clinical medical physics · 2024Article
- A clinical application of fair value estimate (FVE) for R50%: Separating overlapping 50% isodose volumes in single isocenter multiple targets SRS.Journal of applied clinical medical physics · 2023Article
- A Comprehensive Evaluation of Single Isocenter Multiple Target SRS Plans and the Analytical Relationship between Plan Quality Indices with the Number and Volume of Targets.Asian Pacific journal of cancer prevention : APJCP · 2022Article
- How to estimate R50% for cranial SRS/SRT cases with overlapping 50% isodose volumes: A proposed system.Journal of applied clinical medical physics · 2022Article
- A measure of SRS/SRT plan quality: Quantitative limits for intermediate dose spill (R50%) in linac-based delivery.Journal of applied clinical medical physics · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Simultaneous optimization of multiple Planning Target Volumes (PTVs) of varying size and location in the cranium is a non-trivial task. The rate of dose falloff around PTV structures is variable and depends on PTV characteristics such as the volume. The metric R50% is one parameter that can be used to quantify dose falloff achieved in a given treatment plan. An important treatment planning question is how to construct optimization conditions that result in the efficient production of acceptable plan outcomes considering metrics such as R50%. Guidance provided in literature suggests generating multiple shell control structures around each PTV. The constraints applied to these shells can vary significantly depending on PTV volume. Additionally, there is no clear guidance on how to prospectively determine objective constraints for the optimization shells to achieve a specified goal of R50%. Based on physical principles and empirical evidence, we provide clear quantitative guidance on how to translate the desired R50% outcome into appropriately sized optimization structures around PTVs via an equation that depends on a desired goal for R50% and the volume of PTV. Optimization schema are also provided that allow the goal R50% to be approached or achieved for all PTVs individually. We demonstrate the application of the methodology using commercially available treatment planning software and radiotherapy treatment equipment.
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