The First Deliverable Workflow for Proton Arch Therapy

Document Type

Conference Proceeding

Publication Date

9-2025

Publication Title

International Journal of Radiation Oncology, Biology, Physics

Abstract

Purpose/Objective(s): The challenges of dynamic arc treatment are minimizing treatment delivery time and gantry rotation velocity fluctuates. In order to address these challenges, we propose the first deliverable workflow to achieve real dynamic arc delivery Materials/Methods: The real dynamic arc delivery workflow is composed of a delicate adaptive angle frequency proton arc planning design strategy and a novel dynamic arc delivery controller, which is noted PAT_va. The former is generated utilizing an iterative linear programming method, which is available to primarily regulate gantry rotation velocity and delivery time. The latter is available to fine-tune gantry rotation velocity to achieve dynamic arc delivery with a maximum constant velocity through optimizing spot scanning speed. Nine patients were selected for validation. The previously published PAT energy sequence (PAT_ua) optimization algorithm with uniform angle frequency and the prototype of the dynamic arc delivery controller were adopted as references. The plan quality, dose delivery time, and standard deviation of gantry rotation velocity were evaluated. Results: The PAT_va is comparable to PAT_ua in terms of plan quality. Compared to PAT_ua, the gantry rotation velocity increased from 1.38 ± 0.25 (degree/s) to 2.10 ± 0.12 (degree/s), and the standard deviation of gantry velocity decreased from 0.34 ± 0.03 on average to 0. Additionally, the deliverable proton arc workflow can reduce the average total delivery time per case by 35.06%, equivalent to 97.9 s. Conclusion: In this study, we employ a novel workflow to deliver a proton arc plan with the fastest gantry velocity, which would realize true dynamic arc delivery for the first time.

Volume

123

Issue

1 Suppl

First Page

e70

Last Page

e70

Comments

American Society for Radiation Oncology ASTRO 2025: 67th Annual Meeting, September 27 - October 1, 2025, San Francisco, CA

DOI

10.1016/j.ijrobp.2025.06.3434

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