ArticleRadiation oncology (London, England)2021
Combined effect of dose gradient and rotational error on prescribed dose coverage for single isocenter multiple brain metastases in frameless stereotactic radiotherapy.
Article in Radiation oncology (London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.
- Pooled it
- Assessing the role of plan complexity and target geometry through multi-institutional gel based end-to-end QA in multi-focal single isocenter stereotactic radiosurgery.Journal of applied clinical medical physics · 2026Article
- Effects of intrafractional motion on targeting accuracy in frameless single-isocenter multi-target stereotactic radiosurgery.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2026Article
- Minimization of Geometric Uncertainties and Setup Errors Improves Tumor Control for Intracranial Stereotactic Radiosurgery.Advances in radiation oncology · 2026Article
- Investigate gantry position error effect on dynamic spot-scanning proton arc (SPArc) therapy.Physics in medicine and biology · 2025Article
- Impact of setup errors on the robustness of linac-based single-isocenter coplanar and non-coplanar VMAT plans for multiple brain metastases.Journal of applied clinical medical physics · 2024Article
- Single isocenter HyperArc treatment of multiple intracranial metastases: Targeting accuracy.Journal of applied clinical medical physics · 2024Article
- Multicomponent mathematical model for tumor volume calculation with setup error using single-isocenter stereotactic radiotherapy for multiple brain metastases.Physical and engineering sciences in medicine · 2023Article
- Pilot Study of Polymerization Dynamics in nMAG Dose Gel.Gels (Basel, Switzerland) · 2022Article
- Dosimetric Effect of Target Position Accuracy on Single-Isocenter Multiple Liver Metastases SBRT.Technology in cancer research & treatmentArticle
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 3 countries.
Funding
Abstract
backgroundTo evaluate the combined effect of rotational error and dose gradient on target dose coverage in frameless stereotactic radiotherapy.
methodsThree spherical targets of different diameters (1, 1.5, and 2 cm) were drawn and placed equidistantly on the same axial brain computed tomography (CT) images. To test the different isocenter-target distances, 2.5- and 5-cm configurations were prepared. Volumetric modulated arc therapy plans were created for different dose gradients from the target, in which the dose gradients were modified using the maximum dose inside the target. To simulate the rotational error, CT images and targets were rotated in two ways by 0.5°, 1°, and 2°, in which one rotation was in the axial plane and the other was in three dimensions. The initial optimized plan parameters were copied to the rotated CT sets, and the doses were recalculated. The coverage degradation after rotation was analyzed according to the target dislocation and 12-Gy volume.
resultsA shallower dose gradient reduced the loss of target coverage under target dislocation, and the effect was clearer for small targets. For example, the coverage of the 1-cm target under 1-mm dislocation increased from 93 to 95% by increasing the Paddick gradient index from 5.0 to 7.9. At the same time, the widely accepted necrosis indicator, the 12-Gy volume, increased from 1.2 to 3.5 cm
conclusionsFor frameless stereotactic brain radiotherapy, the gradient, alongside the margin addition, can be adjusted as an ancillary parameter for small targets to increase target coverage or at least limit coverage reduction in conditions with probable positioning error.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.