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Updated: Feb 5, 2026

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System
Published on: April 11, 2018
Systematic optimization for the rapid generation of high-quality online adapted proton therapy plans in a commercial
Lena Nenoff1, Annabell Eberhardt2, Rebecca Bütof3
1OncoRay - National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany; Helmholtz-Zentrum Dresden - Rossendorf, Institute of Radiooncology - OncoRay, Dresden, Germany; Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany.
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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