ArticleJournal of applied clinical medical physics2023
Optimization of isocenter position for multiple targets with nonuniform-margin expansion.
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 5 papers.
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Who cites it
5 citing papers in PubMed.
- Hybrid geometric and evolutionary optimization framework for radiosurgery planning: isocenter selection and angle optimization for multiple brain metastases.Radiological physics and technology · 2026Article
- Method for simultaneous selection of treatment isocenters and margins for polymetastatic extracranial stereotactic ablative radiotherapy.Journal of applied clinical medical physics · 2026Article
- Dual optimization in single-isocenter radiosurgery for multiple brain metastases: a dosimetric planning study.Frontiers in oncology · 2026Article
- Assessment of the mechanical performance of a novel CT-linac treatment couch.Frontiers in oncology · 2026Article
- Optimization of isocenter position for multiple targets with nonuniform-margin expansion.Journal of applied clinical medical physics · 2023Article
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3 authors.
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Abstract
purposeThe single isocenter for multiple-target (SIMT) technique has become a popular treatment technique for multiple brain metastases. We have implemented a method to obtain a nonuniform margin for SIMT technique. In this study, we further propose a method to determine the isocenter position so that the total expanded margin volume is minimal. MATERIALS AND
methodBased on a statistical model, the relationship between nonuniform margin and the distance d (from isocenter to target point), setup uncertainties, and significance level was established. Due to the existence of rotational error, there is a nonlinear relationship between the margin volume and the isocenter position. Using numerical simulation, we study the relationship between optimal isocenter position and translational error, rotational error, and target size. In order to find the optimal isocenter position quickly, adaptive simulated annealing (ASA) algorithm was used. This method was implemented in the Pinnacle
resultsWhen the size of tumors is equal, the optimal isocenter obtained by ASA and numerical simulation coincides with COG, COV, and COS. When the size of tumors is different, the optimal isocenter is close to the large tumor. The position of COS point is closer to the optimal point than the COV point for nearly all cases. Moreover, in some cases the COS point can be approximately selected as the optimal point. The ASA algorithm can reduce the calculating time from several hours to tens of seconds for three or more tumors. Using multiple brain metastases targets, a series of volume difference and calculating time were obtained for various tumor number, tumor size, and separation distances. Compared with the margin volume with isocenter at COG, the margin volume for optimal point can be reduced by up to 27.7%.
conclusionOptimal treatment isocenter selection of multiple targets with large differences could reduce the total margin volume. ASA algorithm can significantly improve the speed of finding the optimal isocenter. This method can be used for clinical isocenter selection and is useful for the protection of normal tissue nearby.
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