ArticleRadiation oncology (London, England)2022
Developing an accurate model of spot-scanning treatment delivery time and sequence for a compact superconducting synchrocyclotron proton therapy system.
Article in Radiation oncology (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 44 citations in OpenAlex.
- Machine Model-Specific Delivery Sequence Optimization for Spot-scanning Proton Arc Therapy Using a Compact Superconducting Synchrocyclotron.Medical physics · 2026Article
- Reducing the dose delivered to major intracranial blood vessels in brain radiotherapy using spot-scanning proton arc therapy.Journal of applied clinical medical physics · 2026Article
- Develop a novel non-coplanar trajectory optimization algorithm for an efficient 4pi spot-scanning proton Arc (SPArcMedical physics · 2026Article
- Patient-Specific Deep Reinforcement Learning for Proton Beam Delivery Under Inter-Phase Variations.International journal of particle therapy · 2026Article
- Evaluation of a Dynamic Collimation System to Improve IMPT Dose Distributions and Maintain Treatment Efficiency.Cancers · 2026Article
- Ionizing radiation acoustic beam localization: one step towards "proton surgery".medRxiv : the preprint server for health sciences · 2026Article
- Machine Learning-Based Beam Delivery Time Model for Mevion S250i With Hyperscan Technology.International journal of particle therapy · 2026Article
- Towards ultra-fast treatments: large energy acceptance beam delivery systems and opportunities for proton beam therapy.Frontiers in oncology · 2026Review
- Design an open-access dynamic spot-scanning proton arc system controller for quantitative and comprehensive investigation of delivery efficiency.Medical physics · 2026Article
- Advances in proton therapy technology and global clinical applications.Frontiers in oncology · 2026Review
- A novel adaptive energy switching algorithm for proton arc therapy based on the machine-specific delivery characteristics.Medical physics · 2025Article
- Investigate gantry position error effect on dynamic spot-scanning proton arc (SPArc) therapy.Physics in medicine and biology · 2025Article
- New energy layer reduction method for rapid intensity-modulated proton therapy (IMPT) using a ridge filter.Medical physics · 2025Article
- Development and experimental validation of an in-house treatment planning system with greedy energy layer optimization for fast IMPT.Medical physics · 2025Article
- The Cut-Sort-Group algorithm for efficient delivery of collimated step-and-shoot proton arc therapy.Medical physics · 2025Article
- Feasibility of Utilizing Spot-Scanning Proton Arc (SPArc) for Whole-Lung Irradiation: A Case Report.International journal of particle therapy · 2025Article
- Operational Improvement of a Proton Therapy System From Reduced Energy Layer Switching Time.International journal of particle therapy · 2025Article
- Article
- Rotationally Intensified Proton Lattice: A Novel Lattice Technique Using Spot-Scanning Proton Arc Therapy.Advances in radiation oncology · 2024Article
- Emulating the Delivery of Sawtooth Proton Arc Therapy Plans on a Cyclotron-Based Proton Beam Therapy System.Cancers · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundA new compact superconducting synchrocyclotron single-room proton solution delivers pulsed proton beams to each spot through several irradiation bursts calculated by an iterative layer delivery algorithm. Such a mechanism results in a new beam parameter, burst switching time (BST) in the total beam delivery time (BDT) which has never been studied before. In this study, we propose an experimental approach to build an accurate BDT and sequence prediction model for this new proton solution.
methodsTest fields and clinical treatment plans were used to investigate each beam delivery parameter that impacted BDT. The machine delivery log files were retrospectively analyzed to quantitatively model energy layer switching time (ELST), spot switching time (SSWT), spot spill time (SSPT), and BST. A total of 102 clinical IMPT treatment fields' log files were processed to validate the accuracy of the BDT prediction model in comparison with the result from the current commercial system. Interplay effect is also investigated as a clinical application by comparing this new delivery system model with a conventional cyclotron accelerator model.
resultsThe study finds that BST depends on the amount of data to be transmitted between two sequential radiation bursts, including a machine irradiation log file of the previous burst and a command file to instruct the proton system to deliver the next burst. The 102 clinical treatment fields showed that the accuracy of each component of the BDT matches well between machine log files and BDT prediction model. More specifically, the difference of ELST, SSWT, SSPT, and BST were (- 3.1 ± 5.7)%, (5.9 ± 3.9)%, (2.6 ± 8.7)%, and (- 2.3 ± 5.3)%, respectively. The average total BDT was about (2.1 ± 3.0)% difference compared to the treatment log files, which was significantly improved from the current commercial proton system prediction (58 ± 15)%. Compared to the conventional cyclotron system, the burst technique from synchrocyclotron effectively reduced the interplay effect in mobile tumor treatment.
conclusionAn accurate BDT and sequence prediction model was established for this new clinical compact superconducting synchrocyclotron single-room proton solution. Its application could help users of similar facilities better assess the interplay effect and estimate daily patient treatment throughput.
Indexed as
Identifiers
What OpenQuestion holds
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.