What question did this study set out to answer?

The aim is to optimize parameters for efficient online adaptive proton therapy for lung cancer patients.

February 6, 2026Radiotherapy and Oncology0 citationsOpen Access

Technical note: Systematic optimization for the rapid generation of high-quality online adapted proton therapy plans in a commercial treatment planning system

LNLena Nenoff AEAnnabell EberhardtUniversity Hospital Carl Gustav Carus RBRebecca Bütof

Key Points

The aim is to optimize parameters for efficient online adaptive proton therapy for lung cancer patients.
Investigated different optimization parameters of a commercial treatment planning system.
Focused on the rapid generation of therapy plans specific to lung cancer.
Conducted planning under clinically relevant conditions for locally advanced cases.
Achieved clinical-quality therapy plans within a median time of 4 minutes.
The optimized plans were deemed acceptable for online adaptive proton therapy.

Abstract

Online adaptive proton therapy (OAPT) requires a fast plan optimization. Different optimization parameters of a commercial treatment planning system were investigated for OAPT of locally advanced non-small cell lung-cancer patients. With the selected parameters, clinical-quality plans were optimized within a median time of 4 min, currently deemed acceptable for OAPT.

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Cite This Study

Nenoff et al. (Sun,) studied this question.

synapsesocial.com/papers/698584b78f7c464f230080f3 https://doi.org/https://doi.org/10.1016/j.radonc.2026.111415

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