A Novel Adaptive Energy Switching Algorithm for Proton Arc Therapy Based on the Machine-Specific Delivery Characteristics.

Document Type

Article

Publication Date

10-2025

Publication Title

Medical Physics

Abstract

BACKGROUND: One of the main challenges of utilizing spot-scanning proton arc therapy (SPArc) is treatment delivery efficiency. Previous studies focus on reducing the number of energy layers by ascending switching to shorten the beam delivery time. However, this is not true of all proton therapy systems. The new energy layer switching system was recently upgraded in the University Medical Center Groningen (UMCG), which enables a fast energy layer ascending switching (ELAS).

PURPOSE: We introduce a novel adaptive energy switching SPArc optimization algorithm (SPArc-

METHODS: The SPArc-

RESULTS: Without extra constraints in the energy ascending constraints, the SPArc-

CONCLUSIONS: Based on the machine-specific delivery characteristics, we introduced a novel adaptive energy switching algorithm for efficient SPArc optimization, which could significantly improve delivery efficiency while enhancing the plan quality by eliminating no longer necessary constraints on the total number of energy layer ascending switching.

Volume

52

Issue

10

First Page

e70011

Last Page

e70011

DOI

10.1002/mp.70011

ISSN

2473-4209

PubMed ID

41016831

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